1. Introduction
Waste produced during the processes of diagnosing, treating, or immunizing humans and animals falls under the category of medical waste (MW) [
1]. This type of waste refers to materials discarded during medical, dental, or veterinary practices or research that pose significant health risks to anyone exposed to them [
2].
Over the last three decades, advancements in technology and the development of modern medical facilities have led to a considerable rise in MW generation. Globally, it is recognized as the second most dangerous type of waste, following radiation [
3].
The rise in MW production corresponds with the increase in the worldwide population, the expansion of healthcare services, and the prevalent use of disposable medical instruments and apparatus [
4]. Furthermore, the COVID-19 pandemic brought additional attention to MW due to the rapid escalation in the use of disposable items, with worldwide estimates approaching 100 million tons of waste annually [
5,
6].
Approximately 85% of waste generated by medical facilities is non-hazardous and general in nature, while the remaining 15% comprises hazardous materials that may be carcinogenic, flammable, reactive, corrosive, infectious, toxic, explosive, or radioactive. Waste categories of this type include cytotoxic waste, general non-hazardous waste, chemical, sharp, radioactive, pathological, infectious, and pharmaceutical waste [
7]. Pharmaceutical waste includes discarded materials from pharmaceutical manufacturing industries, broken or damaged syringes, spills, unused and expired medications, body care products, cotton swabs, bandages, cleansing pads, and razors [
8,
9] and is categorized as hazardous material, which means that facilities generating it are obligated to handle and dispose of this waste in compliance with regulatory requirements [
10].
In the last ten years, global outbreaks such as severe acute respiratory syndrome (SARS) [
11], influenza A (H1N1) [
12], and COVID-19 [
13] have highlighted the insufficient capacity of many nations to effectively manage MW disposal during health emergencies. During pandemics, MW exhibits distinct traits, such as accelerated growth, elevated risks, and stricter requirements for disposal [
14]. Since December 2019, the COVID-19 pandemic has captured worldwide focus, alongside the issue of MW production. At the height of the crisis, Wuhan alone experienced a surge in waste generation, reaching approximately 240 tons of MW daily, nearly six times the pre-pandemic levels. In the United States, projections indicated that MW generation rose significantly, from an estimated 5 million tons annually before the pandemic to approximately 2.5 million tons monthly during its peak. The unprecedented rise in the number of regions, countries, and individuals affected by SARS-CoV-2 created significant global challenges associated with the effective management of MW [
4].
In addition to solid waste, hospitals produce considerable emissions through standard operations, an alarming instance being the substantial leakage of piped nitrous oxide, a powerful greenhouse gas. Over 90% of piped nitrous oxide is wasted, and switching to mobile cylinders reduces emissions but requires leadership and local support [
15].
Inadequate management of waste can endanger hospital staff, patients, their families, and nearby communities, while also contributing to environmental contamination with potentially fatal outcomes [
16]. The release of bioactive substances, unmetabolized antibiotics, and antibiotic-resistant pathogens into the environment may contribute to the development of antibiotic resistance [
17].
Healthcare professionals and individuals within the medical system are at particular risk if MW is improperly handled [
18]. Medical teams, including doctors, nurses, technicians, auxiliaries, stretcher bearers, and logistical staff, work to ensure patient care, all while being exposed to risks associated with mismanaged waste [
19]. Thus, it is necessary to establish advanced theoretical frameworks capable of predicting, assessing, and managing risks related to safe waste disposal. These frameworks must be timely, precise, efficient, and holistic in their application across the entire waste management process [
20].
Managing MW presents a significant challenge, especially as the global population continues to grow and the demand for medical services rises. This requires a structured approach involving waste collection, segregation, transportation, and the implementation of systematic disposal methods [
21]. Reusable equipment, leadership deficiencies, and customized interventions are critical elements in mitigating medical waste in operating theaters across various global healthcare systems [
22]. To transition toward a circular economy, various waste-to-energy technologies, including thermochemical, biochemical, and chemical conversion processes, have been methodically explored for MW [
23].
Although this topic is critical for public health, environmental sustainability, and economic considerations, research into MW remains underdeveloped. Continuous investigation and publication in this domain are necessary to improve waste management practices. However, bibliometric studies and science mapping analyses in this area are sparse and target only small areas of this vast issue, highlighting the need for further research.
The objective of this paper was to develop an optimized framework regarding the implications and publication trends in MW through a specific bibliometric analysis and science mapping research utilizing a custom Python-based thesaurus tool [
24]. The deficiencies in the regulatory framework, persistent inefficiencies in MW management systems, and inadequate awareness and professional education have highlighted the necessity of optimizing, categorizing, and assessing publication trends in this complex domain.
In recent years, the scientific landscape concerning MW has significantly expanded, especially following the COVID-19 pandemic. Among the key efforts to map the evolution of MW research are the studies conducted by Sabour and Amron [
25], Soyler et al. [
6], and Wang et al. [
26]. Nevertheless, these analyses are constrained by narrower temporal coverage, limited datasets, or the absence of in-depth thematic trend evaluation. In contrast, our study extends over a nearly 50-year period (i.e., 1975–2024), analyzes one of the largest and most refined datasets to date in this field (i.e., 3025 papers), and introduces one of the most complex and targeted search algorithms, incorporating 41 specific terms. It also integrates a Python-enhanced thesaurus generator for keyword standardization and applies comprehensive visual and co-word analysis tools. This allows for a better understanding of the field’s thematic and methodological shifts. Moreover, recent work on MW sustainability (e.g., Ranjbari et al., 2022 [
27]) reinforces the need for advanced tools to assess and contextualize research directions, a gap our approach addresses.
This bibliometric analysis aims to address the following questions: how has the literature in the field of medical waste management evolved during the period 1975–2024 in terms of publication volume and impact; which countries, institutions, and journals have been the most productive and influential contributors to research in medical waste management; what are the main collaboration patterns between researchers and countries in this field; how have research themes and topics in the studied field evolved over time, particularly in response to global health crises, such as the COVID-19 pandemic. Furthermore, it facilitates access to extensive literature, so improving the capacity to delineate research objectives and attain a comprehensive understanding of the scientific advancements in MW sustainable management.
The present study is structured as follows:
Section 1 is dedicated to introducing the subject under evaluation, while
Section 2 details the materials and methods used, describing the data collection process from the Web of Science database, the development of the search algorithm, and the analytical tools employed, including a custom Python-based thesaurus generator.
Section 3 presents the results in two main parts: first, an overview of the literature and scientific production metrics at country, institutional, and publication levels; second, a visualization of scientific networks and trends.
Section 4 discusses the implications of these findings within the broader context of medical waste. Finally,
Section 5 concludes with a synthesis of the key insights and outlines promising directions for future research and policy development in the field of sustainable medical waste management.
2. Materials and Methods
In this investigation, bibliometric data from the Web of Science (WOS) database was utilized. WOS was selected as the database for a number of important reasons: the database offers complete record entries with fewer missing abstracts, allowing robust text analysis necessary for our keyword co-occurrence and thematic evolution investigations, offers comprehensive coverage of multidisciplinary journals relevant to medical waste management, guaranteeing representation across medical, environmental, and engineering domains. Using a single comprehensive database avoided the methodological challenges associated with cross-database integration. To ensure the comprehensive retrieval of relevant material, a targeted search was conducted using specific keywords targeting the research topic. The literature search was conducted in February 2024, covering the complete timespan available in the Web of Science database (1975–2024). This comprehensive time horizon was selected to capture the entire historical development of medical waste management research, with the earliest relevant publication identified from 1975. Our search strategy employed the following Boolean query: ALL=((“Medical waste” OR “Pharmaceutical waste” OR “waste pharmaceutical” OR “waste medical” OR “hospital waste”) AND (hospital OR management OR “sustainable development” OR “circular economy” OR sorting OR biomedical OR hazardous OR “non-hazardous” OR infectious OR surgical OR segregation OR disposal OR recycling OR separation OR production OR collection OR transportation OR treatment OR radioactive OR chemical OR sharp OR general OR sterilization OR micro saving OR carbonization OR bio converted OR incineration OR pyrolysis OR gasification OR irradiation OR immobilization OR “reverse polymerization” OR policy OR legislation OR physician OR doctor OR pharmacist)) yielded a total of 3515 documents, to which the following exclusion criteria was applied: only documents writ-ten in English, articles and reviews. In this search strategy, the field tag ‘ALL=’ instructs the database to search across all searchable fields of the records, including titles, abstracts, keywords, and other metadata. The Boolean operator ‘OR’ broadens the search by retrieving documents containing any of the specified terms, while ‘AND’ narrows the search by requiring documents to contain terms from both sets of criteria, ensuring all retrieved documents address some aspect of medical waste alongside at least one of the specified management or contextual terms. After applying these filters, our final dataset comprised 3025 documents focused on medical waste management.
Figure 1 illustrates the systematic search algorithm and document selection workflow applied in this bibliometric analysis, detailing each step of query improvement, screening, and final selection to ensure relevance and accuracy.
For reducing the number of irrelevant results, the initial wide query was subjected to a series of modifications, including the incorporation of inclusion/exclusion criteria and the application of exact phrase matching (using the quotation mark operator on keywords). This resulted in a notable reduction in the number of false positives. The algorithm and document selection procedure ensured the generation of a targeted and precise dataset for the bibliometric study. The documents were exported in a tab-delimited file format using the WOS’s native ‘Export’ function. To ensure the inclusion of all relevant data, the ‘Full Record and Cited References’ option was selected.
The bibliometric analysis was conducted using the VOSviewer (version 1.6.20), Bibliometrix programs via the Biblioshiny web interface, and Microsoft Excel [
28]. These tools facilitate the analysis of scientific data extracted from databases such as WOS and Scopus, thereby enabling the identification of trends, collaborative networks, and thematic evolution [
29,
30].
The size of the node in the country co-authorship network map indicates the number of papers published by each nation; the larger the bubble, the more papers that nation has contributed. The thickness of the connecting lines indicates how closely two nations collaborate; the thicker the line, the more closely they collaborate. Countries are grouped into clusters based on the color of the bubbles and lines, indicating which nations collaborate most often. Stronger working relationships are typically seen between nations in the same cluster [
29].
The journal collaboration network map depicts each node as a source, with the size of the node proportional to the quantity of documents published by that source. The color of each node is indicative of the mean publication year of documents from that specific source, offering valuable insights into the temporal trends observed. Connections between two nodes represent instances of citation, whereby documents from one source are referenced by the other. The thickness of these lines is indicative of the strength of the citation relationship, with thicker lines signifying a greater frequency of citation exchange between the two sources [
28,
29].
Thematic evolution maps are graphical representations that illustrate the evolution of research themes over time. These maps assist in identifying shifts in the focus of research topics and the emergence or decline of themes within a specific field. They are generated in Bibliometrix using co-word analysis and clustering techniques, thereby providing insights into the dynamics of scientific knowledge over different periods [
30].
A trend topic analysis is a method of identifying and visualizing research topics that gain or lose popularity over time. This analysis allows the researcher to highlight the rise of emerging research areas and the decline of others. Bibliometrix is a tool that enables this analysis by examining the frequency of keywords or terms across years [
28,
30].
One of the most crucial stages in the bibliometric analysis process is the verification and validation of the data obtained. Raw data from databases may contain errors, duplications, or variations in the naming of entities (i.e., authors, organizations, countries, key terms), which may impact the quality of the results. In this context, VOSviewer provides thesaurus files, which are essential for standardizing and unifying terms by merging multiple variants of the same entity (e.g., the name of a country spelled in different ways), correcting spelling errors or regional variations (e.g., behavior and behavior), and merging synonyms.
The use of a standard term (e.g., “United Kingdom” for all countries within it) allows for the analysis of these countries as a single entity, thereby avoiding the inclusion of redundant or fragmented references. This approach enhances the precision of keyword analysis, clustering, and thematic evolution studies by consolidating references to geographic locations. For enhancing the analysis of keyword trends and thematic evolution in bibliometric studies, a custom Python-based thesaurus generator was developed with the objective of identifying and grouping similar terms (119 lines of code,
Figure 2).
The tool employs a range of techniques, including term frequency–inverse document frequency (TF-IDF) vectorization, cosine similarity, and text preprocessing, to process a list of keywords and identify groups of terms that are either semantically or lexically similar. The algorithm assigns the shortest term as the preferred label for each group and generates a thesaurus file that is compatible with VOSviewer. This approach improves the standardization of keywords by consolidating synonyms and variants, thereby increasing the accuracy and clarity of bibliometric visualizations. The clustering accuracy was evaluated by three researchers separately assessing 300 randomly picked terms, with a success criterion necessitating consensus on a minimum of 270 keywords.
The program effectively achieved this criterion, validating its capability to find synonyms, eliminate redundancies, and consolidate semantically comparable terms into coherent groups. The reliability of the Python-based thesaurus generator is supported by its implementation of established, widely used libraries within the scientific computing ecosystem, including Scikit-learn for TF-IDF vectorization and similarity calculations, NLTK for text preprocessing and tokenization, Pandas for data manipulation, and NumPy for numerical operations.
4. Discussion
Scientific interest in the MW domain has gradually increased over time, and it is also correlated with the growing interest in the correct management of them. Moreover, the number of publications targeting these aspects has gradually increased. The increase in publications is particularly noticeable with the onset of the COVID-19 pandemic. From 2020 onwards, there is a marked increase in scientific output in all countries, probably due to the global focus on understanding and combating the SARS-CoV-2 virus. This increase in publications could be attributed to the increased interest and urgency in pandemic-related research to develop prevention strategies and manage the public health crisis. Similarly, an increase in the number of publications has been observed at the institutional level, exhibiting a pattern of growth comparable to that observed at the country level with respect to scientific output.
The observed increase in the mean total citations per year during the period of the global pandemic caused by the novel coronavirus SARS-CoV-2 reflects a significant surge in scientific research activity, particularly in the area of MW management. As the pandemic progressed, the global focus shifted towards understanding and mitigating the spread of the SARS-CoV-2 virus. This resulted in heightened concerns regarding the disposal and management of MW, especially given its potential role in transmitting infectious agents. The rise in the mean total citations per year during this period indicates not only an increase in the number of publications but also a growing urgency to address the risks associated with MW, which became a key factor in controlling the spread of the disease.
The significant increase in the number of publications during the COVID-19 pan-demic represents more than just intensified research activity; it signals a fundamental shift in how medical waste management is conceptualized within public health. Our analysis shows that this increase reflects a growing recognition that effective waste management systems must be resilient enough to rapidly expand during public health emergencies while maintaining environmental sustainability. This finding has profound implications for medical infrastructure planning, suggesting that medical waste management should no longer be viewed as a secondary concern, but as an essential component of pandemic management.
Additionally, the citation patterns observed during this period indicate that the scientific community is increasingly approaching medical waste management through an interdisciplinary perspective, integrating insights from environmental science, public health, and engineering to develop comprehensive solutions. Even though the top 10 cited articles in the field do not directly relate to COVID-19, they underscore a broader trend where the pandemic has amplified the importance of certain research topics, such as MW management, plastic waste, and environmental pollution.
While there are discernible geographical patterns, the collaboration map illustrates that MW management research benefits from an international network of collaboration. The blue cluster serves to illustrate the increasingly global nature of research in this sector, whereas the red cluster, which is centered on Europe, and the green cluster, which is focused on Asia, indicate regional competence and leadership. Furthermore, the interactions among the nations in the blue cluster demonstrate an increasing recognition that effective management of MW is a global issue that necessitates international collaboration, rather than being confined to a specific region. Future studies should investigate the specific cooperative dynamics observed in these clusters, determining the motivations behind these alliances, whether they originate from shared scientific challenges, market forces, or policy considerations. This evolution in collaborative patterns illustrates how medical waste management research is transitioning from siloed regional approaches to a globally integrated field that recognizes the transboundary nature of both waste impacts and solutions.
In the early years of MW management, incineration was the primary method of disposal. However, this practice raised significant concerns about emissions of toxic compounds, as highlighted in the article “Medical Waste Management Incineration” by Lee and Huffman, published in the Journal of Hazardous Materials in June 1996. Toxic emissions through the incineration process, such as fine particulates, acid gases, heavy metals (i.e., lead and cadmium), and carcinogenic compounds such as dioxins and furans, can be released into the atmosphere. Although high temperatures typically destroy pathogens in waste, microorganisms from the surrounding environment may bypass the combustion process and be emitted through the stack. Compared to municipal waste incinerators, medical systems generally emit lower metal levels, but inadequate air pollution controls can still lead to significant environmental and health concerns [
34,
35].
Over time, these concerns have driven the development of newer, more efficient methods of waste management. Technological advances in waste treatment led to the adoption of modern techniques such as thermal plasma pyrolysis technology that gained widespread popularity, as demonstrated by studies such as “Treatment of Organic Waste Using Thermal Plasma Pyrolysis Technology” by Huang and Tang [
36]. Thermal plasma technology presents a modern solution for handling MW by reaching extremely high temperatures. It produces a highly ionized gas that breaks down hazardous materials efficiently, converting them into non-toxic and safe residues [
37]. Moreover, the publication “Study on Pyrolysis of Typical Medical Waste Materials by Using TG-FTIR Analysis” by Zhu et al. showed that the use of a combination of thermogravimetric analysis and Fourier transform infrared spectroscopy can offer important insights that support the development of predictive models for the pyrolysis of MW [
38].
In addition, other pressing issues emerged, such as the presence of MW in water systems and the need for effective removal methods. This challenge is addressed in the paper “Removal of Antibiotics from Surface and Distilled Water in Conventional Water Treatment Processes” by Adams, Wang, Loftin and Meyer, published in the Journal of Environmental Engineering-ASCE in March 2002. The study found that treating water contaminated with antibiotics was most effective using powdered activated carbon, reverse osmosis, and oxidation with ozone or chlorine under typical water treatment conditions. These methods significantly reduced antibiotic levels. In contrast, conventional techniques such as coagulation, ion exchange, UV disinfection, and lime softening showed little to no effectiveness [
33].
In the period following 2010, there was a shift in focus towards the implementation of more sustainable waste management practices. During this time, growing environmental and public health concerns prompted a reevaluation of traditional disposal methods for infectious MW. Incineration, previously the most common approach, faced increased scrutiny due to its link with harmful air pollutants such as dioxins and furans, largely stemming from the high plastic content of MW. As a result, attention gradually shifted toward alternative technologies, such as autoclaving and microwaving, which offer pathogen neutralization without the associated emissions risks [
21,
39].
In addition, older methods that remain relevant today were subjected to further improvement, including the development of advanced techniques for the removal of specific compounds. To illustrate, the degradation of antibiotics by advanced oxidation processes is a case in point. In their article, “Degradation of antibiotics by advanced oxidation processes: An overview”, Wang and Zhuan present a comprehensive examination of the latest strategies for addressing pharmaceutical waste, published in the journal Science of the Total Environment in January 2020. MW containing degraded drugs should be managed by identifying toxic intermediates using mass spectrometry and quantum chemical analysis, followed by targeted chemical treatments to neutralize harmful compounds. Final residues must undergo advanced oxidation through the use of powerful oxidizing agents, such as hydroxyl radicals, ozone, or hydrogen peroxide, to break down hazardous compounds into less harmful substances, and regular toxicity assessment to ensure environmental safety and protect human and ecological health [
31]. A similar model was used for the waste management mechanism of nafcillin degradation, which involved electrochemical oxidation, generating hydroxyl radicals and UV photolysis, followed by anaerobic digestion to eliminate intermediates, leading to complete mineralization into CO
2 and H
2O [
40].
In particular, over the past five years, there was an increased focus on the minimization of long-term environmental impacts associated with waste, particularly plastic waste. This is evidenced by the publication (in the Renewable and Sustainable Energy Reviews journal) of research elaborated by Klemes et al. The techniques used in medical plastic waste management include mechanical recycling, which breaks down plastic into smaller pieces for reuse, and chemical recycling (i.e., depolymerization), which converts plastic into basic chemical compounds for new raw materials [
41].
The COVID-19 pandemic has intensified the issue of plastic waste in medical facilities due to the increased reliance on single-use plastics. The contamination of ecosystems on land and in water is a consequence of inappropriate plastic management, which also poses a risk of pathogen transmission [
42]. It is essential for governments and medical institutions to focus on sustainable solutions and encourage alternatives to single-use plastics. Manufacturers must ensure that packaging is composed of environmentally sustainable materials with reduced carbon footprints [
43].
The data suggest clear trends in how environmental health, waste management, and pharmaceuticals have evolved over the past decades. Key themes such as toxicity, MW management, heavy metals, and pharmaceuticals have become more specialized, indicating that researchers and policymakers are focusing on specific, pressing issues such as the environmental impact of MW, along with more advanced treatment methods. Each period reflects an increasing development in managing these problems, with a marked shift toward sustainability, the toxicity of chemicals, and the health impacts of waste products. Notably, the acceleration of research on sustainable waste management practices coincides with broader societal shifts toward circular economy principles, suggesting that medical waste research is increasingly aligned with and influenced by macro-level sustainability paradigms. The thematic evolution map can be used to identify areas where further research and policy interventions are most needed, particularly in sustainable waste management practices.
Several key needs for MW management have been outlined, including enhancing the consistency of MW definitions across various jurisdictions, developing comprehensive national procedures, guidelines, and regulations, standardizing and streamlining existing technologies for waste treatment at the national level, establishing a unified system for supervising and monitoring the medical sector, and driving advancements and innovations within the medical system to better prepare for and respond to future pandemics [
2]. Technology transfer, driven by the triple helix model of collaboration between academia, industry, and government, is crucial for advancing MW management through the adoption of innovative and sustainable treatment solutions [
44,
45].
Sustainable MW management is vital for minimizing environmental damage and protecting public health. This involves strategies such as proper segregation, using eco-friendly containers, and safe disposal to prevent contamination. Continuous staff training and awareness are key for adherence to best practices. Medical facilities must also adopt eco-conscious methods such as recycling and reducing single-use plastics to support a circular economy. Collaboration across all departments and adherence to operational standards are essential for fostering a sustainable medical environment [
46].
In surgical intensive care units, resource use leads to substantial waste. Despite limited awareness of sustainable development goals. The World Health Organization emphasizes climate-friendly hospitals, focusing on reducing energy consumption, promoting alternative energy, and improving waste management. Training medical staff and establishing ‘green teams’ is essential for fostering sustainability, minimizing healthcare’s environmental impact, and aligning with global climate goals [
47].
Medical facilities can adopt sustainable practices by reducing waste, optimizing energy use, and promoting renewable energy sources such as solar and wind. Minimizing unnecessary tests, reusing materials, and recycling solvents can reduce resource consumption. Implementing paperless systems and energy-efficient building designs also contribute to greener operations [
48].
Numerous developing countries still rely on incineration, which can contribute to air pollution, or landfill disposal, posing long-term environmental and health risks. To address these challenges, there is an urgent need for policy frameworks and sustainable practices such as waste reduction at the source, recycling, and adopting cleaner disposal technologies [
49].
Comprehending variables such as acceptability, feasibility, and sustainability can substantially improve the implementation of effective medical waste remedies, mitigating environmental dangers and enhancing healthcare practices [
50].
Over the past twenty years, significant work has been undertaken to enhance the management frameworks and regulations surrounding MW, alongside efforts to promote effective practices at local, national, and global levels. Governance structures frequently suffer from weaknesses related to policy and regulatory matters, especially in low- and middle-income countries, which necessitate substantial support for institutional development and capacity-building initiatives [
51].
In order to address the effective management of potentially infectious MW, several organizations, including the National Safety Council of the United States, worked alongside institutions such as the Centers for Disease Control and Prevention, the Environmental Protection Agency, and the Department of Transportation to jointly develop two important publications: “Planning Guide for Treatment of Solid Waste Contaminated by Class A Infectious Substances” and “Management Guide for Class A Infectious Solid Waste” [
14].
Global institutions, including the World Health Organization and the International Atomic Energy Agency, have developed comprehensive strategies and regulatory tools aimed at guiding countries in handling MW. Numerous states have committed to international agreements such as the Minamata, Basel, and Stockholm Conventions, which focus on the responsible management of hazardous substances. At the European level, the European Union has enacted a range of regulatory instruments, including the Circular Economy Action Plan, the Waste Framework Directive, and the European Green Deal, all of which incorporate provisions related to MW. Moreover, the European Commission has advanced regional sustainability through projects such as the Green Agenda and the Economic and Investment Plan for the Western Balkans, both targeting environmental enhancement. On a national scale, individual governments align with these overarching frameworks through domestic policies, legal structures, and participatory approaches, involving civil society, non-governmental organizations, and the private sector in building efficient waste management systems [
27].
At the 2016 Environment Ministers’ Meeting held in Toyama by the Group of Seven, a policy initiative on resource efficiency was introduced, aiming to advance the sustainable use of materials and support long-term development goals [
52].
The present study differs significantly in methodology and analytical approach from other bibliometric studies targeting various aspects of the MW field. This work utilized the WOS Core Collection and a Python-enhanced search strategy, retrieving 3025 relevant articles. These articles were evaluated using various analyses and tools, such as VOSviewer and Bibliometric for visualizations and data analysis. The analyses include annual publication and citation trends, country scientific production, institution scientific production using trend analysis, the most influential articles based on citation metrics, country collaboration networks, thematic evolution in MW research, collaboration mapping, trending topics and keywords using keyword co-occurrence network analysis, and thematic mapping.
To more effectively underscore the originality and added value of our research,
Table 4 presents a structured comparison between our study and other recent bibliometric analyses in the field of medical waste. The comparison is based on key criteria, including the database selected, the time span covered, data volume, analytical tools employed, and the depth and breadth of thematic exploration. This systematic approach highlights the distinctive analytical framework and the broader thematic reach of our study, emphasizing its capacity to bring novel contributions and deeper insights into the evolving landscape of medical waste research.
The present study sets itself apart through several innovative and methodological advances. It spans one of the longest analysis periods to date (i.e., 1975–2024) and relies on the largest and most refined dataset (i.e., 3025 documents) among comparable research. This search strategy represents one of the most complex keyword algorithms in the field, incorporating 41 unique terms to ensure the comprehensive retrieval of relevant literature on medical waste management. A key differentiator is the integration of a custom-built Python-based thesaurus generator, which, to our knowledge, is being used for the first time in bibliometric analyses targeting the field of MW, which applies TF-IDF, cosine similarity, and semantic clustering to standardize keywords. To ensure rigorous and reproducible analysis, we systematically validated our Python-based thesaurus tool. The clustering precision rate was assessed by having three researchers independently evaluate 300 randomly selected terms, with a success threshold requiring agreement on at least 270 keywords. The tool successfully met this threshold, confirming its effectiveness in identifying synonymous relationships, eliminating redundancies, and consolidating semantically equivalent terms into coherent groups. By combining multiple analytical tools, including VOSviewer, Bibliometric, and Excel, the study offers robust visualizations such as co-authorship networks, journal citation maps, trend topic trajectories, and thematic evolution diagrams. Special attention was also given to enhancing figure readability through improved legends, color schemes, and clarification of technical terms.
In contrast, previous bibliometric studies targeting various aspects of MW have typically relied on Scopus and smaller datasets, lacking the co-word analysis to discern trending topics and thematic evolution in the field of MW [
25]. A subsequent study also incorporated fewer types of analyses, with methodologies more narrowly focused on literature reviews rather than comprehensive data-driven assessments [
6]. Furthermore, one of these studies targets a simple bibliometric analysis without engaging in critical comparative discussions with other works or providing in-depth evaluations of relevant articles, which would help in understanding the evolving trends in publications both thematically and methodologically over time [
53]. Additionally, another study has concentrated solely on COVID-19-related MW using smaller datasets, offering a more limited scope compared to broader, long-term explorations of the field [
26].
Most studies recognize the COVID-19 pandemic as a catalyst for intensified waste-related research, yet the present work distinguishes itself through methodological precision and a forward-looking, sustainability-centered analytical frame.
While bibliometric studies offer valuable insights, it is important to consider their inherent strengths and limitations. One strength is their capacity to analyze large quantities of research data, thereby providing an overview of trends and patterns across extensive fields of study. This, however, can also constitute a limitation, as the considerable number of articles makes it not feasible to verify each one manually, which may result in the inclusion of false positives in the data. A key strength of the present bibliometric studies is the application of custom Python code, such as a thesaurus generation algorithm. This approach reduces biases in keyword selection and improves the accuracy of data categorization by leveraging natural language processing techniques, including TF-IDF vectorization and cosine similarity analysis. By systematically identifying and consolidating semantically similar terms, this method ensures more reliable and consistent results while minimizing the risk of false positives or redundancy.
It is also important to note that bibliometric studies are subject to limitations due to the introduction of bias resulting from language restrictions. The exclusion of research published in languages other than English may result in the overlooking of valuable research, thereby limiting the scope of the analysis. It is also the case that citation biases can affect bibliometric analysis. This is because highly cited publications may not always reflect the most creative research, particularly if they are published in journals with a relatively small readership. Furthermore, it can distort the perceived significance of research when self-citations or citations among collaborators, supervisors, or editors are exploited to artificially inflate citation numbers.
Additional limitations specific to this study include the exclusive use of WOS as the sole database. Although this choice was methodologically justified to avoid integration difficulties, it potentially excluded relevant publications indexed exclusively in other databases, such as Scopus or specialized repositories. Additionally, the COVID-19 pandemic introduced significant temporal distortions in research and publication patterns in the post-2020 period, which could overrepresent pandemic-related themes in our recent data while simultaneously creating publication delays for other important research. Finally, our analysis primarily captures trends in academic publications and may not adequately reflect important developments in medical waste management occurring in practical contexts that are not widely documented in the specialized literature.
Despite these constraints, bibliometric studies remain a valuable instrument for the scientific, academic, and student communities, offering a pragmatic approach to grasping research tendencies and academic performance. As machine learning and artificial intelligence (AI) tools continue to evolve, many of these limitations are likely to be addressed, including those pertaining to language barriers, false positives, and biases in citation analysis. These advancements will enhance the accuracy and depth of bibliometric analyses, improving their ability to assess research quality and trends.