Search Results (38)

Artificial Intelligence (AI) has become deeply embedded in the advertising industry, presenting both opportunities and challenges. Understanding this transformation requires mapping the dyad’s structure and identifying the conditions that shape its evolution. This study applies a scientometric framework, integrating bibliometric network analysis with statistical modeling, to examine AI advertising as a knowledge ecosystem. By analyzing patterns of collaboration, thematic convergence, and structural centrality, we interpret how scholarly networks generate, connect, and diffuse ideas in ways that influence both academic and industry practices. The findings reveal that the field’s growth is underpinned by interconnected clusters of expertise with strategic opportunities emerging from interdisciplinary integration and global collaboration. Simultaneously, consolidating influence among a few dominant actors raises questions about diversity, access, and the balance between innovation and ethical responsibility. Statistical analyses conducted in SPSS Statistics version 29.0.2.0 further identify the bibliometric and structural factors that most predict citation impact, strengthening the study’s contribution to understanding how influence is built and sustained in AI-driven advertising research. Full article

Homelessness is characterised by a wide range of risk factors of a multidimensional and unstable nature. The COVID-19 pandemic intensified these risk factors associated with homelessness but also prompted the development of prevention and care actions. This study identified and mapped the intervention programmes carried out for people experiencing homelessness in the wake of the COVID-19 pandemic. To achieve the study purpose, a thematic analysis of the scientific literature was conducted following the search strategy and analysis methodology characteristic of informetrics and scientometrics. The sources of information used were WoS, Scopus, PubMed, PsycINFO and ERIC. The paucity of planned actions, most of which have a local impact, reinforces the need to strengthen research that presents robust evidence on this issue. China and Europe are under-represented compared to other types of studies linked to COVID-19 and the prevalence of homelessness. Several clusters are distinguished among the plans: they are carried out in buildings or in geographical areas and according to the impact on the group (preventive, substance-related disorder support, health care and diagnostic). Among the emerging themes, health and social variables are represented, including communication and trust between health, community and homeless groups. The reduction in the thematic dimensionality shows equal planning between health care actions (81.8%) and psychosocial and prevention support (72.8%), an aspect that confirms the importance of joint actions. In this line, among the various clusters of the network analysis, the relationship between hotel, mental health support, substance-related disorder, social intervention and access to permanent housing was found. The studies analysed also highlight social exclusion, stigma, victimisation, living conditions and the risk of contagion among this group. This situation has not gone unnoticed among the studies analysed, which present proposals for the continuation of the projects. Full article

This study investigates the convergence of blockchain, artificial intelligence (AI), near-field communication (NFC), and mobile technologies in electronic payment (e-payment) systems, proposing an innovative integrative framework to deconstruct the systemic innovations and transformative impacts driven by such technological synergy. Unlike prior research, which often focuses on single-technology adoption, this study uniquely adopts a cross-technology convergence perspective. To our knowledge, this is the first study to empirically map the multi-technology convergence landscape in e-payment using scientometric techniques. By employing bibliometric and thematic network analysis methods, the research maps the intellectual evolution and key research themes of technology convergence in e-payment systems. Findings reveal that while the integration of these technologies holds significant promise, improving transparency, scalability, and responsiveness, it also presents challenges, including interoperability barriers, privacy concerns, and regulatory complexity. Furthermore, this study highlights the potential for convergent technologies to unintentionally deepen the digital divide if not inclusively designed. The novelty of this study is threefold: (1) theoretical contribution—this study expands existing frameworks of technology adoption and digital governance by introducing an integrated perspective on cross-technology adoption and regulatory responsiveness; (2) practical relevance—it offers actionable, stakeholder-specific recommendations for policymakers, financial institutions, developers, and end-users; (3) methodological innovation—it leverages scientometric and topic modeling techniques to capture the macro-level trajectory of technology convergence, complementing traditional qualitative insights. In conclusion, this study advances the theoretical foundations of digital finance and provides forward-looking policy and managerial implications, paving the way for a more secure, inclusive, and innovation-driven digital payment ecosystem. Full article

Graphene oxide (GO), a pivotal derivative of graphene, has revolutionized nanotechnology with its tunable physicochemical properties and interdisciplinary applications in energy storage, environmental remediation, and biomedicine. Despite its exponential research growth, existing reviews remain fragmented, lacking holistic insights into evolving synthesis–application linkages, global collaboration patterns, and emerging convergence trends. This study bridges these gaps through a scientometric analysis of 14,124 peer-reviewed articles (2022–2025) from the Web of Science Core Collection, utilizing CiteSpace for co-occurrence network mapping, burst detection, and cluster analysis. Key findings reveal (1) a thematic shift from traditional synthesis optimization (e.g., Hummers’ method) toward driven material design and sustainable applications like GO membranes for water purification; (2) China’s dominance in publication output (38.5%) contrasts with the U.S. and Europe’s leadership in global collaborations; (3) interdisciplinary journals such as Chemical Engineering Journal (centrality: 0.25) and emerging clusters like “circular economy” signal transformative priorities; and (4) critical gaps in scalability, ecological safety, and cost-effective production hinder industrial translation. This work provides a roadmap for aligning research with sustainability goals, fostering global partnerships, and accelerating innovations in scalable nanotechnology. Full article

Implementing machine learning is imperative for enhancing advanced cybersecurity practices globally. The current cybersecurity landscape needs further investigation into the potential impasse. This scientometric study aims to comprehensively analyse the study patterns and key contributions at the nexus of cybersecurity and machine learning. The analysis examines publication trends, citation analysis, and intensive research networks to discover key authors, significant organisations, major countries, and emerging research areas. The search was conducted on the Scopus database, and 3712 final documents were selected after a thorough screening from January 2016 to January 2025. The VOSviewer tool was used to map citation networks and visualise co-authorship networks, enabling the discovery of research patterns, top contributors, and hot topics in the domain. The findings uncovered the substantial growth in publications bridging cybersecurity with machine learning and deep learning, involving 2865 authors across 160 institutions and 114 countries. Saudi Arabia emerged as a top contributing nation with flaunting high productivity. IEEE and Sensors are the key publication sources instrumental in producing interdisciplinary research. Iqbal H. Sarker and N. Moustafa are notable authors, with 17 and 16 publications each. This study emphasises the significance of global partnerships and multidisciplinary research in enhancing cybersecurity posture and identifying key research areas for future studies. This study further highlights its importance by guiding policymakers and practitioners to develop advanced machine learning-based cybersecurity strategies. Full article

Moisture ingress is a critical concern in buildings, as it may profoundly affect structural integrity, the energy efficiency of a building, and as well the quality of the indoor environment that, in turn, could influence the health and safety of building occupants. Moisture ingress can occur during any phase in the lifecycle of a building component, where environmental loads, such as precipitation, wind, snow, and elevated relative humidity, play a fundamental role in affecting the building structure. Climate change exacerbates the issue of moisture ingress by intensifying these loads. In this review paper, the statistical perspective on publications related to moisture ingress in building envelope materials (BEMs) was first assessed through a scientometric study. All relevant publications were gathered and manually filtered, and the selected papers were categorized based on the topics discussed. The results of the scientometric study, as presented in this paper, include a bar chart in which the number of publications in each category is illustrated; a science journal mapping diagram showing the interdisciplinary connections of the research; a cluster map depicting the network between topics; and an R&D momentum analysis reflecting the rate of growth and publication count in this field. Given the strong focus on material properties, this review also examines experimental methods for characterizing moisture transport properties in building materials used in BEMs. Additionally, the differences between various codes and standards centered on this topic are reviewed and discussed. This combined strategy is intended to comprehensively evaluate available information and approaches to permit identifying the knowledge gaps that need to be addressed. Full article

The construction industry builds infrastructure and strengthens the global economy, but it struggles with cost overruns. This systematic study used scientometrics and Social Network Analysis to examine the multifaceted factors causing construction project cost escalations. After reviewing 405 scholarly works, the research mapped and analyzed 66 interconnected cost overrun factors in 69 high-impact studies between 2000 and 2024. To uncover the patterns, the study used two main research methods. First, this study applied a scientometric analysis that reviewed trends and gaps from the previous studies. Second, this study used Social Network Analysis (SNA) to examine how different factors were connected and which factors had the strongest influence on cost overruns. The methodology comprised a systematic literature search, document selection, scientometric analysis, factor standardization, and an SNA application. Seven critical drivers with high network centrality were identified: planning and scheduling issues, project estimation inaccuracies, design inefficiencies, negative weather conditions, scope definition challenges, contractual ambiguities, and unforeseeable site conditions. By applying the SNA degree centrality (DC), the analysis quantified the significance of each factor within the network. With the use of this dual analysis, a novel mapping of the main causes of cost overruns was produced, leading to the discovery of seven core factors that significantly affected project outcomes, including planning and scheduling issues, project estimation problems, and design inefficiencies. The findings advance the knowledge of the dynamics of cost overruns and offer practical insights for enhancing cost management practices in the construction industry. Full article

This article presents a comprehensive scientometric analysis of mining waste valorization, focusing on tailings utilization in construction materials from 2010 to 2024. Through examination of 1096 Web of Science publications and utilizing CiteSpace mapping and network analyses, we analyze the intellectual structure of this field. Subject category analysis reveals materials science, construction technology, and environmental engineering as the dominant disciplines, interconnected through 168 links across 64 thematic nodes. Our co-citation analysis identifies 12 major research clusters, with materials science and environmental engineering serving as primary disciplinary pillars. Keyword co-occurrence analysis of 532 nodes connected by 1181 links highlights the field’s emphasis on fly ash, concrete applications, and mechanical properties. Recent citation bursts indicate growing research focus on thermal stability, heavy metal treatment, and innovative processing methods. Through synthesizing these scientometric indicators, this review provides strategic insights for advancing sustainable construction practices through mining waste utilization. Research gaps identified include long-term durability assessment, standardization needs, and scalability challenges. By synthesizing these diverse scientometric indicators, this review provides strategic insights for researchers, industry practitioners, and policymakers, contributing to the advancement of sustainable construction practices through mining waste utilization. Full article

Despite numerous concerns about climate change and the deterioration of nature, the construction industry is still one of the largest consumers of minerals and natural resources. In recent decades, sustainable construction using renewable and recyclable materials, reducing energy, and the adoption of more green technologies with the aim of reducing harmful impacts on the environment have received profound worldwide attention. The more key stakeholders involved strive to achieve sustainability, the more barriers they may face, which requires investigating them to have an effective plan to recognize, prevent, and control them. This paper reviews, classifies, and analyzes the major barriers of sustainable construction between January 2000 and April 2023. In this scientometric study, 153 articles were selected from the Web of Science database. Then, bibliometrics, the creation of maps from network data, as well as the illustration and exploration of those maps were conducted with the HistCite 12.03.1 and VOSviewer 1.6.20 software programs. The analytical results showed that the most profound barriers of sustainable construction are classified into 12 groups: price, economic parameters, awareness, technical, policy and regulations, design, management and government, environmental, social, materials, planning, and market. Full article

This study presents a systematic literature review (SLR) of the Advanced Work Packaging (AWP) methodology, focusing on identifying barriers to its adoption. The review encompasses an analysis of 287 documents from 2013 to 2023, including conference articles, doctoral theses, journal articles, master theses, reports, and organizational documents. Following a rigorous selection process, 59 of these documents were identified as pertinent to the investigation. This research employs a dual approach. First, a scientometric analysis to map the collaborative networks of authors and the co-occurrence of keywords, providing a comprehensive picture of the research landscape in AWP. Second, the study delves into the main barriers hindering the adoption of AWP, as revealed through the SLR of the selected documents. The findings offer an overlay network visualization of coauthorship and a network visualization of keyword co-occurrence. The study culminates in a detailed identification of primary AWP barriers, suggestions for future research directions, and potential lines of inquiry within the field. This work contributes to the existing body of knowledge by offering a novel perspective on the challenges associated with AWP implementation and provides a foundation for future scholarly endeavors in this domain. Full article

Water resources management is a challenging task caused by huge uncertainties and complexities in hydrological processes and human activities. Over the last three decades, various scholars have carried out the study on hydrological simulation under complex conditions and quantitatively characterized the associated uncertainties for water resources systems. To keep abreast of the development of the collective knowledge in this field, a scientometric review and metasynthesis of the existing uncertainty analysis research for supporting hydrological modeling and water resources management has been conducted. A total of 2020 publications from 1991 to 2018 were acquired from the Web of Science. The scientific structure, cooperation, and frontiers of the related domain were explored using the science mapping software CiteSpace V5.4.R3. Through co–citation, collaboration, and co–occurrence network study, the results present the leading contributors among all countries and hotspots in the research domain. In addition, synthetical uncertainty management for hydrological models and water resource systems under climatic and land use change will continue to be focused on. This study comprehensively evaluates various aspects of uncertainty analysis in hydrologic simulation–optimization systems, showcasing advanced data analysis and artificial intelligence technologies. It focuses on current research frontiers, aiding decision–makers in better understanding and managing the complexity and uncertainties of water resource systems, thereby enhancing the sustainability and efficiency of responses to environmental changes. Full article

This scientometric analysis delves into the current trajectory and anticipated prospects of assessing fiscal sustainability, emphasizing methodologies, trends, and pivotal literature in this critical economic realm. This study analyzed 324 studies from Scopus and Web of Science databases to generate the dataset through scientometric networks, using VOSviewer and Bibliometrix tools. Through a comprehensive review of scientific literature, this research traces the developmental trajectory of fiscal sustainability, trend topics, influential studies, and key contributors employing bibliometric and scientometric tools. The study maps the landscape of fiscal sustainability exploration, underscoring an evolving shift towards interdisciplinary methods encompassing environmental, social, and political factors. Furthermore, the keywords analysis accentuates three emergent trends, mainly (i) the relation between fiscal sustainability and economic growth, (ii) the methodologies and models for assessing fiscal sustainability, and (iii) demographic concerns and their impact on fiscal sustainability. This research provides insights into the evolving terrain of fiscal sustainability exploration and anticipates promising avenues for further studies. The examination reveals the significance of methodologies such as panel data, multicointegration analysis, probabilistic debt analysis, Markov-switching models, and wavelets analysis in assessing fiscal sustainability. By offering a comprehensive overview, this analysis aspires to direct forthcoming inquiries and contribute to the ongoing discussion surrounding the assessment of fiscal stability. Full article

The construction industry, as one of the three major carbon emission (CE) industries, accounts for about 39% of the global CE. Thus, approaches for energy saving and emission reduction (ES/ER) cannot be delayed. With the advent of the Industry 4.0 era, information technology (IT) is used to investigate CE in the construction industry, which provides great convenience for measuring and calculating building carbon emissions (BCE) and proposing effective ES/ER measures. However, limited studies have provided a holistic overview of the application of IT in BCE. To fill this gap, this study searched related articles and screened 170 relevant papers. Based on the characteristics of the literature, building carbon flow (BCF) was defined. Based on scientometric analysis and network mapping analysis, combined with quantitative and qualitative analysis methods, the functions, advantages, and limitations of IT in each stage of BCF research were reviewed. Finally, the research trends and future research directions of IT in the BCF were discussed. Specifically, the building information model technology penetrates the whole process of BCF research, deep learning and artificial intelligence have great potential in BCF research, and multi-information technology integration will become the focus of subsequent research in the construction industry. Full article

The construction industry is slowly embracing digitalisation in line with the Industry 4.0 revolution and the aftermath of the COVID-19 pandemic. However, progress has been sluggish due to stakeholders’ limited awareness of digital skills. This study addresses this issue by developing a comprehensive taxonomy of digital skills required to successfully implement the Industry 4.0 principles of digitalisation in the construction industry. A systematic literature review was conducted by mining the Scopus and Web of Science databases to identify relevant literature and map the skills currently used or needed for digitalisation. The study also examined publication trends and outlets to gain insight into developments. Additionally, VOSviewer was used to conduct a scientometric analysis of the shortlisted articles to identify important keywords and authorship collaboration networks within this research domain. A total of thirty-five digital skills were identified from the literature. These skills were organised into a taxonomy with categories named automation and robotics, coding and programming, design, drafting and engineering, digital data acquisition and integration, digital literacy, digitisation and virtualisation, modelling and simulation, and planning and estimation. The developed taxonomy will help stakeholders plan strategically to provide digital skills to the new graduates joining the workforce, enabling a more comprehensive approach to the digitalisation of the construction industry. Full article

Fire safety is a critical concern in various industries necessitating the development of sustainable and effective fire-resistant materials. Sustainable fire-resistant polysaccharide-based composite aerogels are regarded as an innovative solution in fire safety applications, and as such, research in this field has increased consistently over the past few years. Despite the plethora of literature on this important subject, only a few studies have attempted to map the global research of sustainable fire-resistant polysaccharide-based composite aerogels to identify the geospatial collaborative network and trend of research. This study utilizes a scientometric review of global trends in sustainable fire-resistant polysaccharide-based composite aerogels research between 2003 and 2023 using VOSviewer and biblioshiny to analyze co-author, co-word, co-citation, clusters, and geospatial maps. A total of 234 bibliographic records from the Scopus database were analyzed to generate the study’s research power networks and geospatial map. The most significant contributions in sustainable fire-resistant polysaccharide-based composite aerogels come from China, the United States, Australia, Canada, and India with records of 194, 20, 11, 9, and 8, respectively. The top five sources for articles in this area of research include ACS Applied Materials and Interfaces, Chemical Engineering Journal, Composite Engineering, ACS Sustainable Chemistry and Engineering, and Carbohydrate Polymers. The application of sustainable fire-resistant polysaccharide-based composite aerogels spans the engineering and construction fields. The versatility in the fabrication and customization allows for seamless integration into diverse applications. The article concludes by emphasizing the significance of sustainable fire-resistant polysaccharide-based composite aerogels as a promising advancement in fire safety technology, combining sustainability, fire resistance, versatility, and mechanical strength to address critical challenges in the field. This review provides important insight into the research challenges, trends, and patterns of sustainable fire-resistant polysaccharide-based composite aerogel research worldwide. Full article