Search Results (47)

Liquid organic hydrogen carriers (LOHC) have emerged as a promising technology for the safe, efficient, and reversible storage and transportation of hydrogen, offering a viable pathway toward the development of a hydrogen-based economy. Despite the rapid expansion of this research field, a comprehensive understanding of its scientific evolution, intellectual structure, and emerging research directions remains limited. This study presents a comprehensive bibliometric and thematic analysis of LOHC research based on 1140 publications indexed in the Scopus database between 2007 and 2025. Bibliometric indicators, scientific mapping, Bradford’s and Lotka’s laws, thematic evolution, and strategic thematic mapping were performed using VOSviewer and Bibliometrix/Biblioshiny. The results reveal an exponential increase in scientific production after 2016, reflecting the growing global interest in LOHC technologies. Bradford’s law identified a highly concentrated publication landscape dominated by a small core of specialized journals, whereas Lotka’s law demonstrated that scientific production is driven by a limited group of highly productive authors. Keyword network and thematic evolution analyses show a clear transition from fundamental hydrogen storage concepts toward advanced catalyst development, molecular design, quantum chemical calculations, machine learning, techno-economic assessment, and hydrogen transport applications. Strategic thematic mapping further indicates that computational methodologies and sustainability-oriented analyses are becoming emerging drivers of future research. Overall, this study provides a comprehensive overview of the conceptual, intellectual, and thematic evolution of LOHC research while identifying the principal scientific trends and technological opportunities expected to shape the next generation of hydrogen storage systems. Full article

Digital finance has emerged as a rapidly evolving field shaped by advances in financial technology (FinTech), blockchain, artificial intelligence, digital banking, and payment innovations. Our analysis applied bibliometric techniques to examine the evolution, trends, intellectual structure, and future directions of research in the field. Data were collected from the Web of Science Core Collection using a search strategy designed to capture publications that explicitly address research trends, evolution, and future directions in digital finance. After applying predefined screening criteria, a final dataset of 334 publications published between 2016 and 6 March 2026, was analyzed using Bibliometrix, Biblioshiny, and VOSviewer. The analysis included performance indicators, science mapping, co-authorship networks, co-citation analysis, keyword co-occurrence analysis, thematic mapping, thematic evolution, author productivity analysis using Lotka’s Law as a descriptive reference, and Bradford’s Law. The findings indicate a substantial increase in publications over the study period, with an annual growth rate of 33.35%. Research output is highly concentrated in China and India, which together account for approximately 70.06% of the publications. The intellectual structure of the literature is primarily organized around themes related to FinTech, blockchain, cryptocurrency, innovation, and financial inclusion. At the same time, emerging areas include artificial intelligence, sustainability, ESG, green finance, and decentralized finance. The results also reveal fragmented collaboration networks and significant geographical concentration in research production. This study contributes to the literature by providing an overview of the evolution and thematic development of trend-focused digital finance research and identifies promising directions for future investigation. The findings should be interpreted within the scope of the selected trend-oriented literature and not as a representation of the digital finance literature landscape. Full article

Technostress has emerged as a central psychosocial risk in digital environments, yet existing bibliometric research provides only partial accounts of its development. This study offers an updated mapping of the global intellectual structure of technostress based on 1135 articles indexed in the Web of Science Core Collection as of October 2025. Using Price’s, Lotka’s, Bradford’s, and Zipf’s Laws, alongside co-authorship and keyword co-occurrence analyses, the study examines patterns of scientific growth, author productivity, and conceptual concentration. Results reveal exponential growth, highly unequal authorship distribution, and strong terminological concentration. Four stable thematic clusters were identified: foundational theory, workplace technostress, psychological consequences, and excessive technology use. Emerging topics, including artificial intelligence, digital stress, and information overload, indicate a shift toward broader socio-technical interpretations. Keyword networks further reveal a consistent relationship between technological overload, technostress, impaired performance, and reduced well-being. Despite its growing maturity, the field remains conceptually fragmented and lacks an integrative framework encompassing cognitive, behavioral, organizational, and AI-mediated dimensions. These findings highlight the need for interdisciplinary collaboration and interventions that address both individual capacities and contextual conditions to advance digital well-being and foster socially sustainable and resilient digital environments. Full article

Salinity and drought are major abiotic stresses responsible for substantial losses in global agricultural productivity, particularly in arid and semi-arid regions. Although Bacillus spp. are widely studied as plant growth-promoting rhizobacteria (PGPR) capable of enhancing plant tolerance to abiotic stress, the extent to which this research has addressed combined salinity and drought stress remains underexplored. This study conducted a bibliometric analysis of scientific output and experimental evidence available in the Scopus-indexed literature published between 2016 and 2024 on Bacillus spp. as PGPR under combined salinity and drought stress conditions. A total of 479 documents were analyzed using the Bibliometrix R package v. 5.4.1 in R v. 4.5.3 and VOSviewer v. 1.6.20, applying Bradford’s and Lotka’s laws, keyword co-occurrence analysis, and citation analysis. Scientific output exhibited a compound annual growth rate of 24.5%, reaching 103 publications in 2024. China, India, and Pakistan were the leading contributors. Among the 495 eligible studies, only 2 studies identified through the primary Scopus search experimentally evaluated Bacillus spp. as PGPR under combined salinity and drought stress conditions. A third study was identified through a complementary external search, revealing a critical gap in experimental in vivo evidence under combined stress conditions. Addressing this gap is essential for advancing effective bioinoculant development for sustainable agriculture under combined abiotic stresses. Full article

Background: The global use of herbal medicines and research on plant bioactive compounds have steadily increased. In Chile, this growth is linked to ethnobotanical knowledge and advances in phytochemistry, although gaps persist in its evolution, leadership, and regulatory articulation. This study analyzes scientific production on phytochemicals and medicinal plants (1976–2025), identifying growth patterns, leading journals, authorship, and collaboration networks. Methodology: A mixed-methods approach combined bibliometric analysis of Web of Science records with inductive qualitative content analysis from researcher interviews. The quantitative phase applied performance analysis and scientific mapping, using indicators such as Price’s, Lotka’s, Bradford’s, and Zipf’s laws to evaluate evolution, productivity, and impact. The qualitative phase explored perceptions of the field’s current state, limitations, and challenges, thereby contextualizing the bibliometric findings. Results and discussion: Analysis of 2149 articles and 6878 authors shows exponential growth (11.46% annually; R² = 0.952), with 674 publications projected by 2035. Productivity is concentrated among key authors and institutions (University of Chile, Concepción, Talca). Research focuses on antioxidant activity and bioactive compounds. Despite progress, gaps persist in clinical validation, technology transfer, and health system integration, while biodiversity and omics are emerging as strategic assets. Conclusions: Phytochemistry in Chile is expanding rapidly, requiring integrated frameworks that combine clinical validation, sustainable biodiversity management, advanced analytical and computational tools, technology transfer, and adaptive public policies to translate scientific knowledge into evidence-based healthcare, biotechnology, and sustainable innovation. Full article

Aedes aegypti (Ae. aegypti) is the primary vector for dengue, Zika and chikungunya, which represent major global public health concerns. The use of Wolbachia as a biological control agent in Ae. aegypti has gained significant international attention following the successful establishment of field-released mosquitoes in Australia, Malaysia, Brazil, Indonesia and Singapore. This study presents a comprehensive scientometric analysis of the research landscape of Wolbachia and Ae. aegypti. Data comprising 662 English-language publications from 2000 to 2025 were extracted from the Scopus database. Analytic tools, including VOSviewer and R-based Biblioshiny, were employed to quantify author productivity, transcontinental collaboration networks, thematic evolution, research gaps and future directions, while Bradford’s Law of Scattering was used to identify core dissemination channels. Publications have shown a steady upward trajectory since 2000, with an overall relative growth rate of 0.3%, while annual citations peaked in 2009 and 2011 (3337 and 3460 citations, respectively). The dataset strictly conformed to Bradford’s distribution (0.16% error), identifying PLOS Neglected Tropical Diseases (11.9%) and Parasites and Vectors (5.6%) as the core journals. Global research networks are predominantly led by Australia and the United States, supported primarily by the National Institutes of Health (14.8%) and the National Health and Medical Research Council (14.2%). Crucially, thematic analysis using a methodological triangulation approach demonstrates a progressive maturation in the field, shifting from foundational laboratory mechanisms toward large-scale deployment logistics and microbiome dynamics. Overall, this study highlights the intellectual landscape, underscores the vital role of global collaboration, and provides strategic insights to guide future evidence-based policies in Wolbachia–Aedes aegypti research. Full article

Background: Alzheimer’s disease (AD) is a complex neurodegenerative disorder and a major global health challenge. The traditional “one drug–one target” paradigm has shown limitations in addressing its multifactorial nature. Multitarget-directed ligands (MTDLs), designed to modulate multiple pathological pathways, have emerged as a promising therapeutic strategy. Objectives: To examine the structural, thematic, and temporal evolution of multitarget strategies for AD treatment between 2006 and 2025. Methods: A total of 1184 Web of Science-indexed articles were analyzed. Publication growth, h-index, author productivity, institutional and national contributions, and keyword co-occurrence networks were evaluated using VOSviewer. Bibliometric laws (Price, Bradford, Zipf, and Lotka) were applied to characterize productivity patterns and thematic organization. Results: Multitarget research shows exponential growth, suggesting a consolidation of the MTDL paradigm. China, India, the United States, Italy, and Spain were the most productive countries. Early studies focused on cholinesterase inhibition, particularly acetylcholinesterase-based hybrids. The field expanded to include β-amyloid aggregation, oxidative stress, metal chelation, and blood–brain barrier permeability. Recent trends emphasize integration of computational approaches, including molecular docking, molecular dynamics, virtual screening, and network pharmacology, alongside targets such as BACE1 and GSK-3β. Conclusions: Multitarget strategies have evolved toward a systems-oriented framework. Despite advances, challenges remain in reducing cholinesterase dependency and improving translational validation. This study provides a framework to interpret therapeutic evolution and guide future network-based drug design. Full article

This bibliometric study maps olive (Olea europaea L.) yield prediction research as a coherent scientific domain for the first time. A Scopus query (27 February 2026) yielded 84 peer-reviewed articles (2002–2025), from which co-authorship network analysis, Bradford’s and Lotka’s Laws, Latent Dirichlet Allocation topic modelling (LDA), and OLS regression on citation counts were applied. Publication output increased nearly fourfold across three periods: 1.7 articles yr⁻¹ (2002–2014), 4.4 yr⁻¹ (2015–2019), and 6.7 yr⁻¹ (2020–2025). The 84 articles involve 382 authors, 61 journals, and 1551 citations (H-index = 22). Network analysis reveals a concentrated Spanish–Italian co-authorship axis. OLS regression (adj. R² = 0.267) identifies article age and abstract length as the only significant citation predictors, consistent with cumulative exposure time and study scope as structural drivers. Term-frequency screening against 18 a priori concepts finds that transfer learning, federated learning, hyperspectral imaging, digital twins, and SHAP-based explainability are absent or marginal. The field is producing more papers than ever on a narrowing methodological base geographically concentrated in the Mediterranean basin. Priority gaps—explainable AI, multi-region datasets, sensor-fusion pipelines, and federated data infrastructure—align directly with European Farm to Fork and Horizon Europe objectives. Full article

Solar radiation drives virtually every process in Earth’s climate system—from atmospheric circulation and the hydrological cycle to ecosystem carbon uptake and agricultural productivity. How this energy flux is changing under anthropogenic climate forcing and what the consequences might be have become central preoccupations of modern Earth system science. Yet despite a rapidly growing literature spanning atmospheric physics, ecology, remote sensing, and energy engineering, no study has attempted to map the global scientific output on solar radiation and climate change as a unified research domain. This study addresses this gap through a large-scale bibliometric analysis of 8473 publications retrieved from the Web of Science Core Collection (1991–2025). Using the Bibliometrix R package (v5.0.1) and VOSviewer (v1.6.20), the study examined publication growth, country and institutional productivity, journal performance, co-authorship structures, keyword networks, thematic evolution, and emerging research fronts. The literature has grown at an annual rate of 14.87%, with China and the USA accounting for nearly half of all output—though American research shows markedly higher citation impact. Bradford’s Law identified 27 core journals, which accounted for roughly one-third of total publications; the Journal of Geophysical Research–Atmospheres ranked first. Consistent with Lotka’s Law, a large majority of authors (78.9%) appear only once in the dataset, pointing to a broad but peripherally engaged scientific community. Keyword co-occurrence mapping revealed five thematic clusters: ecological and biosphere impacts; climate dynamics and variability; atmospheric processes and data-driven methods; solar geoengineering; and energy and renewable applications. The most rapidly rising topics after 2020—machine learning, CMIP6, solar geoengineering, and heatwaves—suggest that the field is shifting toward data-driven methods and active climate intervention debates. These findings offer a structured overview of where the field stands and the most urgent knowledge gaps. Full article

Research on cattle feeding and nutrition has increasingly integrated animal welfare considerations in response to evolving scientific, societal, and production challenges. This study aimed to characterise the global scientific landscape on this topic through a comprehensive bibliometric analysis. A structured methodological framework was applied using the Web of Science database, covering the period from 2009 to 2025, limited to literature published in English, Spanish, and Portuguese. The analysis followed five stages: research design, data collection, analysis, visualisation, and interpretation, using a broad search strategy combining terms related to cattle production, nutrition, feeding, health, stress, and welfare. Bibliometric indicators and science mapping techniques were implemented using the Bibliometrix package in R (Biblioshiny), including collaboration network analysis, keyword co-occurrence, thematic evolution, and Bradford’s Law to identify core journals. In total, 424 documents were analysed. The results showed sustained growth in scientific production, particularly from 2016 onwards, indicating consolidation of the field. Output was concentrated in a limited number of countries, institutions, and journals, supported by increasingly interconnected collaboration networks. Thematic trends revealed a shift towards integrative approaches linking nutrition with stress, health, and productivity, positioning nutrition as a key tool to enhance welfare and efficiency, although behavioural and socio-economic aspects remain underrepresented. Full article

This study presents a comprehensive bibliometric analysis of research on 2xxx series aluminum–copper (Al–Cu) alloys published between 2020 and 2025. A complete analysis of 4380 documents from 747 sources indexed in Scopus reveals sustained research growth, with publications rising from 603 in 2020 to 948 in 2025 at a compound annual growth rate of 9.5%. China dominates global output, contributing 35.7% of publications with Central South University as the leading institution (548 articles). However, China’s international collaboration rate (12.2%) remains notably lower than Western counterparts such as the United Kingdom (62.5%) and Canada (53.2%). Core journals including the Journal of Alloys and Compounds, Materials Science and Engineering: A, and Journal of Materials Research and Technology collectively account for 11.4% of total publications, conforming to Bradford’s Law concentration patterns. Keyword co-occurrence analysis revealed five distinct thematic clusters centered on microstructure–property relationships, friction stir welding and joining technologies, corrosion mechanisms, Al–Cu–Li aerospace alloys, and additive manufacturing. While life cycle modeling (K = 5993; tm = 2022.84) indicates the field is approaching maturity, by identifying emerging frontiers such as machine learning-assisted alloy design, sustainable processing routes, and multi-material joining for electric vehicles, this study offers researchers a quantitative roadmap of the Al–Cu alloy knowledge landscape and highlights strategic opportunities for future investigation. Full article

Handgrip strength (HGS) has been considered as an indicator of muscle strength and overall physical fitness, with increasing relevance in sports science for talent identification and performance monitoring. However, no bibliometric study has been conducted to map the HGS research landscape in athletic contexts. A bibliometric analysis was conducted in the Web of Science Core Collection database, retrieving 229 publications. Typical bibliometric laws (i.e., Price’s, Bradford’s, Lotka’s, and Zipf’s) were employed to analyze publication trends, core journals, influential authors, country contributions, and keyword co-occurrences. Annual publications increased exponentially, especially after 2019, reaching 37 documents in 2024. The Journal of Strength and Conditioning Research and Journal of Sports Medicine and Physical Fitness were the most prominent journals. The United States and Spain led in productivity and impact. Key research themes included strength, performance, body composition, and physical fitness, with HGS demonstrating significant associations with sport tasks such as throwing, racquet sports, and weightlifting. HGS constitutes an accessible and valuable tool for assessing and predicting athletic performance, especially in sports requiring upper body strength and coordination. Future research should aim to expand database inclusion and address identified gaps, such as the relationship between HGS training and sport-specific outcomes. Full article

Background/Objectives: Attention-deficit/hyperactivity disorder (ADHD) is a highly heritable neurodevelopmental condition, and pharmacogenetic studies aim to clarify interindividual variability in treatment responses and adverse effects. Despite increasing research, the field remains fragmented. This review provides a bibliometric analysis of ADHD pharmacogenetics (2005–2025), identifying its intellectual foundations, thematic structure, and global distribution. Methods: A bibliometric search was conducted in Scopus and Web of Science, retrieving 711 documents published between 2005 and July 2025. Data were analyzed with the Bibliometrix R package and Biblioshiny interface, applying bibliometric mapping, Bradford’s Law, co-word analysis, and thematic mapping. Only peer-reviewed journal articles, books, and book chapters were included to ensure scientific rigor. Results: The dataset shows a modest annual growth rate but strong impact, with an average of 29.6 citations per article. Highly cited works converge into four domains: (i) clinical guidelines and pharmacological treatments; (ii) cognitive heterogeneity and subtypes; (iii) neurodevelopmental and genetic mechanisms; (iv) environmental and health-related influences. Geographically, the United States leads with 24.8% of publications, followed by Brazil, China, and European countries. Keyword analysis reveals two main clusters: a clinical–therapeutic pole (methylphenidate, atomoxetine, child) and a genetic–molecular pole (dopamine transporter, SNPs, genotype). Conclusions: ADHD pharmacogenetics shows consolidation with strong clinical and genetic cores but limited integration of comorbidity, adult populations, and non-stimulant treatments. Future research should prioritize multi-center cohorts, multi-omic designs, and stronger international collaboration to advance precision medicine in ADHD. Full article

Background: Autism spectrum disorder (ASD) represents a major challenge in neurological development research and is receiving increasing attention from the pharmacological and pharmaceutical sciences. Despite this constant growth, there is no document that provides a comprehensive overview integrating publication trends, key contributors, and thematic developments, allowing efforts to be focused on specific areas. Objective: To conduct a comprehensive bibliometric analysis of pharmacological research related to ASD published between 2001 and 2025. Methods: The database obtained contains 1170 articles indexed in the Web of Science (WoS) database in the JCR Pharmacy and Pharmacology category. Bibliometric indicators such as publication growth, h-index, authorship, institutional and national productivity, and keyword co-occurrence were analyzed using VOSviewer and the laws of Price, Bradford, Zipf, and Lotka. Results: A total of 1170 documents were analyzed, showing an exponential increase in pharmacological research related to ASD over the last two decades. The United States, China, and Italy emerged as the most productive countries, while King Saud University, Harvard Medical School, and The Ohio State University were among the leading institutions. The most frequently cited keywords, such as “autism spectrum disorder,” “valproic acid,” “oxidative stress,” and “flavonoids,” revealed a translational approach linking neurobiological mechanisms, redox imbalance, and therapeutic interventions. Contemporary research emphasizes immuno–synaptic interactions, microbiota, and biomarker-guided approaches. Conclusions: This study highlights the global expansion and diversification of pharmacological research in ASD. The results underscore a shift toward integrated biological frameworks and precision-oriented strategies, reinforcing the need for interdisciplinary collaboration to advance translational outcomes in ASD therapy. Full article

Smart farming integrates digital technologies to optimize agricultural production and promote sustainability. Its impact depends both on technological development and adoption by farmers. Research shows significant progress, but technical and socio-behavioral gaps remain, requiring integrated approaches to strengthen its contribution to the SDGs. In this context, scientific research on smart farming has grown significantly, becoming a key axis for the fulfillment of the Sustainable Development Goals (SDGs). The aim of this study was to analyze the evolution, structure, and impact of scientific production in smart farming, identifying its main trends, authors, journals, and contributions to the SDGs. To this end, a bibliometric analysis was applied to 1580 articles indexed in the Web of Science (WoS) database, using productivity, citation, and impact indicators based on Price’s, Lotka’s, Bradford’s, and Zipf’s laws, as well as the Hirsch index. The results reveal important growth in scientific production between 2014 and 2024, with a strong concentration in high-impact journals and international collaboration networks. In conclusion, smart farming represents an engine of innovation and sustainability, integrating science, technology, and digital management to address the global challenges of food security, climate change, and sustainable development. Full article