Publication Trends Research Articles

Tracking the Spread of Pollen on Social Media Using Pollen-Related Messages From Twitter: Retrospective Analysis.

Allergy disorders caused by biological particles, such as the proteins in some airborne pollen grains, are currently considered one of the most common chronic diseases, and European Academy of Allergy and Clinical Immunology forecasts indicate that within 15 years 50% of Europeans will have some kind of allergy as a consequence of urbanization, industrialization, pollution, and climate change. The aim of this study was to monitor and analyze the dissemination of information about pollen symptoms from December 2006 to January 2022. By conducting a comprehensive evaluation of public comments and trends on Twitter, the research sought to provide valuable insights into the impact of pollen on sensitive individuals, ultimately enhancing our understanding of how pollen-related information spreads and its implications for public health awareness. Using a blend of large language models, dimensionality reduction, unsupervised clustering, and term frequency-inverse document frequency, alongside visual representations such as word clouds and semantic interaction graphs, our study analyzed Twitter data to uncover insights on respiratory allergies. This concise methodology enabled the extraction of significant themes and patterns, offering a deep dive into public knowledge and discussions surrounding respiratory allergies on Twitter. The months between March and August had the highest volume of messages. The percentage of patient tweets appeared to increase notably during the later years, and there was also a potential increase in the prevalence of symptoms, mainly in the morning hours, indicating a potential rise in pollen allergies and related discussions on social media. While pollen allergy is a global issue, specific sociocultural, political, and economic contexts mean that patients experience symptomatology at a localized level, needing appropriate localized responses. The interpretation of tweet information represents a valuable tool to take preventive measures to mitigate the impact of pollen allergy on sensitive patients to achieve equity in living conditions and enhance access to health information and services.

Exploring the Evolution of Aspiration of Life in Scientific Literature: A Bibliometric Analysis (2015-2024)

Objective: This bibliometric analysis explores the scholarly landscape of "Aspirations of Life" publications from 2015 to 2024, shedding light on trends, gaps, and key insights in this evolving field. The primary objective of this study is to identify the trajectory of research on aspirations, particularly focusing on the Nepalese context. Methodology: Utilizing bibliometric analysis, this study examined online scholarly articles published in Dimension.ai, employing statistical techniques to analyze publication trends, citations, and research patterns. This method provided a comprehensive overview of the research landscape by scrutinizing authors, keywords, citations, and publication years. Key Findings: The analysis revealed a significant increase in publications on "Aspirations of Life" over the past decade, peaking in 2023 with 532 publications. This surge underscores the growing scholarly interest in aspirations, with a notable rise in citations between 2020 and 2023, indicating increasing recognition and relevance in academic circles. However, a decline in the percentage of cited publications and fluctuating citation ratios suggest a need for more consistent impact and recognition of individual research contributions. Conclusion & Recommendation: The study highlights the escalating importance and relevance of research on "Aspirations of Life," emphasizing the need for enhanced impact and quality in scholarly articles. To bolster research influence, increasing the publication of high-quality articles in international peer-reviewed journals is crucial. Furthermore, addressing research gaps, such as longitudinal studies on aspiration changes over time and exploring cultural variations, can enrich our understanding and inform more effective interventions in this critical area of study.

Threads of insight: Exploring the narrative of online reviews (2002–22) in the apparel industry through bibliometrics

Online reviews have become crucial in research and consumer decision-making, providing insights into customer perspectives on products and services. In today’s digital age, they are an essential tool for retailers to engage with their customers. This is particularly true in the apparel industry, where understanding consumer satisfaction and preferences is key to crafting effective marketing strategies. Despite the abundance of literature on the impact of online reviews on consumer evaluations of ready-made garments, there has been limited scientific analysis of this extensive body of work. This bibliometric study utilizes performance analysis and science mapping to rigorously examine the body of literature on online reviews. Performance analysis assesses the quality and quantity of various scientific contributions using a suite of bibliometric indicators, such as publication trends, leading authors and journals, and the most influential publications. To complement this, science mapping is employed to elucidate the broader intellectual, social and conceptual frameworks of the field, providing a holistic view of its fundamental dynamics that performance analysis alone cannot offer. We analysed 161 articles published between 2002 and 2022, selected via targeted keywords from the Scopus database. The data was processed using VOSviewer (1.6.20) and Biblioshiny, a web-based platform powered by the R-package Bibliometrix 4.1. This study not only delves into the historical and current states of the literature but also identifies and discusses future research agendas in online reviews within the apparel industry.

Mapping Open Access Publishing Trends in Central Universities of North East India: A Scientometric Approach

ABSTRACT The study analyses open access publications across the 10 central universities of North East India, focusing on publication trends, disciplinary distribution, citation impact, collaboration patterns, and open access licensing patterns. It compiles scholarly outputs from the OpenAlex API, integrating various data sources such as Microsoft Academic Graph, ORCID, Crossref, and Unpaywall. A total of 28,832 publications from 2004–2023 were collected and analyzed using statistical methods. The findings reveal a positive trend in research output across the represented universities, with an increasing emphasis on OA publications. However, the proportion of OA publications remains relatively low compared to closed access. Citation impact varies among universities, reflecting differences in research quality and visibility. Open repositories such as SSRN, Research Square, and Zenodo are crucial in promoting OA publishing. The study also reveals common usage of licenses such as CC-BY and CC-BY-NC-ND, with variations across universities. The impact on libraries is also discussed, emphasizing the role of libraries in promoting OA, supporting researchers, and contributing to scholarly communication advancement. This study provides valuable insights for policymakers, academic administrators, and researchers seeking to promote a culture of openness, collaboration, and innovation in scholarly communication within the region, country, and at the global level.

Science Mapping of Open-Access Articles on Data Visualisation: A Scopus-based Analysis

The prime objective of the present study is to analyze the impact of open-access publishing on research publications in data visualization journal research papers using scientometric indicators and science mapping techniques. A total of 9,018 publication records were extracted from the Scopus database for five years, from 2018 to 2022. The parameters used for the present study are open-access publication trends and their impact on the number of publications and citations, most prolific authors, organizations, countries, journals, etc. The study results indicate that 60.55% of articles on data visualization were published as open access, and the trend of open-access publication has grown exponentially. The study further found that open-access articles have a better academic impact than overall articles published. Huamin Qu of Hong Kong University of Science and Technology has contributed the highest number (22) of open-access articles on data visualization; the authors affiliated with the Centre National de la Recherche Scientifique (CNRS), Paris, have contributed the highest (116) OA articles; and the United States was the topmost productive country with the highest (1,809) OA articles. IEEE Transactions on Visualization and Computer Graphics was the most preferred journal among researchers on data visualization to publish their research as open-access articles.

A bibliometric analysis and typology of drug pricing policies across the globe.

Limited research exists on pricing policies from a bibliometric and visualization perspective, and there is a lack of understanding of their typology. This study aims to address these gaps in knowledge and provide a deeper understanding of the research topics and development trends in this field. A bibliometric study was conducted on drug pricing approaches in healthcare literature, published between 2000 and June 2023. The literature was identified through an extensive search of healthcare databases and was then classified based on the year of publication, research topics, corresponding authors, location of corresponding authors, and journal titles. The citation data analysis was conducted using Bibliometrix, which consisted of descriptive, geographical, and time-series analyses and visualization. Between 2000 and June 2023, 173 articles were disseminated across 98 distinct publication sources. During the analysis, we observed a significant and consistent rise in literature reports on drug pricing approaches in healthcare, especially in 2010. The research topics were distributed almost equally, discussing improvement or issues with drug pricing models and addressing drug pricing applications. Our analysis revealed that the top ten corresponding authors were responsible for 19% of the total articles, with those based in the United States being the most productive. Furthermore, the "Health Economics" journal ranked first among the top ten journals. These findings align with the overall publication trends of drug pricing methods reported in other fields. The current study offers a comprehensive overview of drug pricing techniques utilized in medicine through visualization and bibliometric techniques. Analysis of authors, journals, institutions, and countries could serve as a reference for new researchers and guide them differently. Researchers can also consider emerging trends when determining the focus of their studies.

Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis.

As artificial intelligence (AI) takes an increasingly prominent role in health care, a growing body of research is being dedicated to its application in the investigation of communication sciences and disorders (CSD). This study aims to provide a comprehensive overview, serving as a valuable resource for researchers, developers, and professionals seeking to comprehend the evolving landscape of AI in CSD research. We conducted a bibliometric analysis of AI-based research in the discipline of CSD published up to December 2023. Utilizing the Web of Science and Scopus databases, we identified 15,035 publications, with 4,375 meeting our inclusion criteria. Based on the bibliometric data, we examined publication trends and patterns, characteristics of research activities, and research hotspot tendencies. From 1985 onwards, there has been a consistent annual increase in publications, averaging 16.51%, notably surging from 2012 to 2023. The primary communication disorders studied include autism, aphasia, dysarthria, Parkinson's disease, and Alzheimer's disease. Noteworthy AI models instantiated in CSD research encompass support vector machine, convolutional neural network, and hidden Markov model, among others. Compared to AI applications in other fields, the adoption of AI in CSD has lagged slightly behind. While CSD studies primarily use classical machine learning techniques, there is a growing trend toward the integration of deep learning methods. AI technology offers significant benefits for both research and clinical practice in CSD, but it also presents certain challenges. Moving forward, collaboration among technological, research, and clinical domains is essential to empower researchers and speech-language pathologists to effectively leverage AI technology for the study, diagnosis, assessment, and rehabilitation of CSD. https://doi.org/10.23641/asha.27162564.

Bibliometric analysis of stone column research trends: A Web of Science perspective

Abstract Stone columns have garnered significant interest in geotechnical engineering as an effective ground improvement technique for enhancing the load-bearing capacity and mitigating settlement issues in soft soils. This study presents a comprehensive bibliometric analysis of scholarly literature on stone columns, utilizing data from the Web of Science database spanning from 1975 to 2023. The analysis aims to provide insights into publication trends, influential journals, key research institutions and authors, geographical distributions, and emerging themes in this domain. Through a systematic data curation process, 505 relevant publications were analyzed using Excel and VOSviewer software. The findings reveal a notable emphasis on geosynthetic encasements, load-settlement behavior, and soft soil reinforcement, with China being a major contributor. Over the past 48 years, the research has evolved from static loading to dynamic loading, sustainable structures, and artificial intelligence applications, as evidenced by the highly cited publications. This study maps the development, current state, and potential future directions of stone column research, serving as a valuable resource for researchers and practitioners in geotechnical engineering.

A 20-year analysis of gender trends in oncology authorship in the Cochrane database of systematic reviews.

The objective of this study was to evaluate global longitudinal publication trends in oncology in the Cochrane Database of Systematic Reviews (CDSR) from 2001-2020. Retrospective bibliometric analysis. The primary outcome measures were the numbers and percentages of women as first, last, and corresponding author across all CDSR oncology publications. Additional outcomes included authorship differences between countries and percentages of women authors over time compared using the Cochran-Armitage trend test. In total, 548 articles were analyzed. Women were first authors in 52.26% (n=277) and corresponding authors in 50.75% (n=272), respectively. Women represented only 39.4% (n=210) of last authors, significantly less frequent than male counterparts (p < 0.001). The percentage of women last and corresponding authors has increased significantly in the past 20 years (p < 0.05). Countries such as the Netherlands and Australia consistently showed equitable representation in first, corresponding, and last authorship, while other countries such as Italy and China had uniformly low rates of female authorship. Our results highlight patterns of gender inequity in oncology publication authorship in the CDSR from 2001-2020 at a global level. Notably, women were less likely to serve in the last author position which, independent of assigned corresponding authorship, is generally assumed in academic oncology to designate the leader of a published study. Substantive efforts to correct this disparity are needed to achieve gender parity in publicly perceived leadership in oncology publications.

Trends in Green Supply Chain Management: Insights from Bibliometric Analysis (2014-2023)

This research discusses the publication trend on the topic of green supply chain management with "Green Supply Chain Management" as the keyword. Search using the title and abstract categories listed in Dimension from 2014 to 2023 analyzed in a bibliometric study. This bibliometric study can guide academics and practitioners to take relevant steps in managing environmentally friendly supply chains. Therefore, this research could contribute to understanding developments and challenges in the green supply chain field. The results of this study are expected to provide insights for decision-makers and practitioners in managing supply chain sustainably. There are 4,017 articles. This number is very impressive and almost every year there is a significant development in this research topic. The analysis of this study is focused on the number of publications, authors, and journals. This study aims to observe the development map of Green Supply Chain Management research in the world. Results show that the number of publications on Green Supply Chain Management has increased quite steadily and was the most published in 2023 with a total of 803 journals. As for the lowest number of publications, there was in 2014 with the number of publications as many as 179. Thus, it can be concluded that the topic of this theme has developed from year to year, and this concept has great potential to develop further in the future.

Graph Neural Networks: A Bibliometric Mapping of the Research Landscape and Applications

Graph neural networks (GNNs) are deep learning algorithms that process graph-structured data and are suitable for applications such as social networks, physical models, financial markets, and molecular predictions. Bibliometrics, a tool for tracking research evolution, identifying milestones, and assessing current research, can help identify emerging trends. This study aims to map GNN applications, research directions, and key contributors. An analysis of 40,741 GNN-related publications from the Web Science Core Collection reveals a rising trend in GNN publications, especially since 2018. Computer Science, Engineering, and Telecommunications play significant roles in GNN research, with a focus on deep learning, graph convolutional networks, neural networks, convolutional neural networks, and machine learning. China and the USA combined account for 76.4% of the publications. Chinese universities concentrate on graph convolutional networks, deep learning, feature extraction, and task analysis, whereas American universities focus on machine learning and deep learning. The study also highlights the importance of Chemistry, Physics, Mathematics, Imaging Science &amp; Photographic Technology, and Computer Science in their respective knowledge communities. In conclusion, the bibliometric analysis provides an overview of GNN research, showing growing interest and applications across various disciplines, and highlighting the potential of GNNs in solving complex problems and the need for continued research and collaboration.

A bibliometric analysis of global research on short chain fatty acids in neurological diseases.

The interest on short chain fatty acids (SCFAs) regulating the progress of neurological diseases has gained significant attention in recent years. This bibliometric analysis aimed to provide insights into the current state and future trends of global research on SCFAs in neurological research. To analysis the general trend of publications, the scientific output in this field from 1995 to 2024 was first retrieved from the Web of Science Core Collection, Scopus, and PubMed with SCFAs-related and neurological diseases related terms as the subjects. Based on above publication analysis, rapid development stage was marked as 2016 to 2024 and 878 relevant original articles in rapid development stage was retrieved with the time limit from 2016 to 2024. Key bibliometric indicators were calculated and evaluated using CiteSpace with these 878 articles. SCFAs are related to the occurrence and development of neurological diseases. China and the USA have contributed in a significant way to foster a better understanding on SCFAs in neurological diseases. The hot theme of research have gradually shifted from neurodegenerative diseases to psychical diseases. In the aspect of mechanism research, the current hotspot is inflammation. SCFAs are able to modulate oxidative stress and microglia maturation, morphology and function to intervene in the development of neurological diseases and thus SCFAs interventions are promising to treat neurological diseases. 2016 to 2024 is the fast-developing stage in this field. In this stage the publications dramatically increased and were of high quality. SCFAs in neurological research will continue to be an active area in the near future. Future trends might be correlation analysis and neurotherapeutics of SCFAs on patients with psychical diseases and deeper mechanism research is still needed.

EXPLORING THE EMERGING AREAS OF CORPORATE DISCLOSURES: A BIBLIOMETRIC ANALYSIS

In the current Indian scenario of the financial reporting regime, stakeholders are increasingly looking at the disclosure practices of the companies. Therefore, higher level of transparency is required which implies that there is need of higher level of disclosure. In the present era, the sources of information are not only restricted to annual reports for stakeholders to take decisions. Hence, it is very crucial to have encyclopaedic study on corporate disclosures. The main objective of this paper is to determine the current state of research on corporate disclosure practices across the world. In the present study, literature in subject areas business, management, accounting, economics, econometrics, and finance has been retrieved from Scopus Database and analysed for 15 years between 2009 &amp; 2023. The bibliometric analysis has been conducted using VOS Viewer. This study highlights the trend of publication across two decades, countries and journals along with most cited papers, top journals, most influential authors. Finally, through co-occurrence analysis of keywords, least explored areas have been identified. This paper highlights the gap in the available literature and make recommendations for future research in emerging areas.

Navigating global horizons: a review of export promotion and foreign market entry strategies for small and medium enterprises (SMEs)

PurposeThis study aims to conduct a systematic review of the existing literature on export promotion and foreign market entry strategies for small and medium enterprises (SMEs).Design/methodology/approachThis study incorporates systematic literature review by using bibliometric technique and content analysis of 195 scholarly papers published between 2000 and 2024 obtained from Scopus database, using the PRISMA principles and a methodological framework.FindingsThe use of quantitative analysis has shown dynamic patterns in publication trends, characterized by notable increases in recent years. These trends align with the changing dynamics of the global economy and shifting priorities in international commerce. The study reveals thematic frameworks using author collaboration analysis, word cloud visualizations and a thematic map, providing insights into a significant motor, niche and developing issues that shape the discussion on the international growth of SMEs.Research limitations/implicationsIt offers significant insights that can benefit academics, policymakers and practitioners who are interested in understanding and navigating the intricate terrain of export promotion and market access strategies specifically tailored for small firms.Originality/valueTo the best of the authors’ knowledge, the study is the first of a kind that presents a systematic examination of the existing body of knowledge on the internationalization of SMEs.

Challenges and opportunities in sensor-based fall prevention for older adults: a bibliometric review

PurposeThis bibliometric review examines the recent literature on sensor-based fall prevention for older adults. It analyzes publication trends, key researchers and institutions, major research themes, as well as gaps and opportunities in this field.Design/methodology/approachA comprehensive search was conducted in Scopus and Web of Science (WoS) databases for publications from 1990 to 2024. Bibliometric indicators including publication output, citation analysis and co-occurrence of keywords were used to map the research landscape. Network visualizations were employed to identify key thematic clusters.FindingsThe research on sensor-based fall prevention has grown rapidly, peaking in 2019. The USA, Australia and Canada lead this work, with universities and hospitals collaborating globally. Key themes include fall epidemiology, wearable sensors and AI for fall detection. Opportunities exist to better implement these sensor systems through large trials, user-centered design, hybrid sensors and advanced analytics.Research limitations/implicationsWhile comprehensive, the analysis focused primarily on publications indexed in Scopus and WoS, which may not capture all relevant literature. Future studies could expand the search to include other databases and conduct deeper analyses of highly influential studies.Practical implicationsThe review provides an evidence-informed roadmap to accelerate the translation of sensor innovations into scalable and sustainable fall prevention practices for vulnerable older adult populations.Originality/valueThis is the first comprehensive bibliometric analysis to map the research landscape of sensor-based fall prevention, identifying key trends, themes and opportunities to advance this critical domain addressing a major global public health challenge.

The Future of Long-Term-Care

Background: Aging populations worldwide are grappling with the challenge of long-term care for the disabled elderly, particularly in countries like China that are aging before they become affluent. The number of disabled elderly in China is sharply increasing, necessitating effective strategies to meet their care needs. Objectives: This study aims to conduct a comprehensive scientometric analysis of research trends, hotspots, and future directions in the field of long-term care for disabled elderly individuals in China using CiteSpace software. Methods: Employing CiteSpace 6.2.R1, this study analyzed 1,914 relevant publications from 1999 to 2024 in the Web of Science and CNKI databases. Keyword analysis, clustering, and visualization were performed using CiteSpace software to identify key themes and trends. Results: The analysis indicates an overall upward trend in publications since 1999, with a significant increase between 2013 and 2017. High-frequency keywords mainly include influencing factors, integration of medical and nursing care, and service quality. Research hotspots include family caregiving, health status, demand factors, and mental health. Conclusions: This study reveals the research trends, hotspots, and future directions in the field of long-term care for disabled elderly individuals in China. It shows a rapid increase in research quantity over time. High-frequency keyword analysis identified ongoing topics of interest such as influencing factors, integration of healthcare, and service quality. Keyword clustering analysis revealed that research hotspots are concentrated in areas such as family caregiving, health status, demand factors and mental health, with each field containing rich research content. Main Contribution to Evidence-Based Practice: This study uses CiteSpace visualization analysis software and bibliometric methods to organize and analyze existing literature, clarifying the research status, hotspots, and trends in the field. This information is intended to help scholars, practitioners, and policymakers better understand the progress in this area and provide a reference for future in-depth research.

Perilymphatic fistula: a historical overview of publication trends

BackgroundPerilymph fistula (PLF) can cause symptoms of dizziness, vertigo, and fluctuating hearing. We hypothesized that publications on PLF have decreased in recent years relative to other inner ear disorders with overlapping symptoms.MethodsWe performed a Scopus search using the terms “perilymphatic fistula” OR “perilymph fistula,” limited to original studies or reviews involving human subjects published in English before 2022. We noted the senior author's institution, country affiliation, and publishing journal. The Kendall rank correlation coefficient test was used to analyze the trend of each variable over the past 30 years. Using the same search strategy, we compared these data to those from vestibular neuritis (VN), Meniere's disease (MD), superior semicircular canal dehiscence (SSCD), and benign paroxysmal positional vertigo (BPPV).ResultsSix hundred and ninety-eight PLF publications were returned. The top publishing country was the United States (n = 334), the top publishing journal was the American Journal of Otology/Otology and Neurotology (n = 68), and the top publishing institution was the University of Pittsburgh (n = 15). In the past 30 years (n = 501), there was no trend in the frequency of annual PLF publications (τ = −0.150, p = 0.265). Still there were positive trends in publications on vestibular neuritis (τ = 0.724, p &amp;lt; 0.001), Meniere's disease (τ = 0.587, p &amp;lt; 0.001), superior canal dehiscence syndrome (τ = 0.840, p &amp;lt; 0.001), and benign paroxysmal positional vertigo (τ = 0.882, p &amp;lt; 0.001) 5,398 PLF cases were identified, of which 4,356 specified the etiology; the majority identified an inciting insult (74.8%, n = 3,257).ConclusionsThe absence of diagnostic criteria for PLF may hinder its appeal to researchers as similar syndromes have had diagnostic consensus documents set forth. Given the greater number of cases with inciting insults, efforts to define a diagnostic criterion should focus on this subtype.

Finding the new potential research on diabetic kidney disease and hemodialysis in healthcare insurance databases: A bibliometric analysis

To the best of our knowledge, bibliometric analysis has not been performed for studies related to diabetic kidney disease (DKD) and hemodialysis using healthcare big data. Herein, the aim of this bibliometric analysis was to identify emerging research trends in DKD and hemodialysis within healthcare insurance databases by exploring authors, co-author networks, and countries to discover new potential research areas. A bibliometric study was conducted, utilizing data obtained from the Scopus database. Keywords such as diabetic kidney disease, hemodialysis, insurance or big data, and prediction were employed. Inclusion criteria were original articles and review articles written in English published between 2010 and 2022. VOSviewer and the Bibliometrix package in R were used for comprehensive bibliometric analysis. VOSviewer facilitated keyword co-occurrence analysis to identify clusters and visualize relationships among keywords, emphasizing distinct research themes, keyword density, and network visualization. Meanwhile, Bibliometrix allowed exploration of key metrics such as prolific authors and institutions, publication trends, co-authorship networks, citations, document types, emerging trends through keyword analysis, and network visualizations, including co-authorship and keyword co-occurrence. Results from both tools were integrated for a thorough analysis. The present study yielded 2,199 articles, which was reduced to 1,828 after removing duplicates and applying inclusion criteria. This bibliometric analysis found that machine learning and artificial intelligence are emerging yet remain relatively under-researched in the context of hemodialysis and DKD. The prominence of topics such as diabetic nephropathy, non-insulin treatments, and lifestyle modifications highlighted ongoing research priorities in DKD and hemodialysis. Taiwan's dominance in publications suggested robust research activity in this field, while international collaboration underscored global interest and the potential for diverse research perspectives. The need for similar research development in Indonesia, leveraging big data and machine learning, indicates opportunities for advancing the understanding and management of DKD and hemodialysis within the region.

Bibliometric analysis of the interplay between epilepsy and microglia: trends, hotspots, and emerging research areas.

Epilepsy, a common neurological disorder, has been increasingly associated with neuroinflammation, especially microglia activation. To gain insights into the research trends and patterns in this intersection, we conducted a bibliometric analysis of studies published between 2005 and 2024. Using the Web of Science Core Collection, we identified 1,229 relevant articles and reviews, focusing on the relationship between epilepsy and microglia. We employed the Bibliometrix R package and VOSviewer to analyze the data. Our search strategy combined epilepsy-related terms with microglia and microglial cell keywords. The analysis encompassed publication trends, country and institutional contributions, journal sources, authors, keywords, and thematic evolution. The number of publications has steadily increased, particularly after 2019, indicating growing research interest. The United States, China, and Germany emerged as the most productive countries, with extensive collaboration between China and the United States. Epilepsia and Journal of Neuroinflammation were the most influential journals. Aronica E, Vezzani A, and Engel T were the most prolific authors. Thematic analysis revealed clusters focused on temporal lobe epilepsy, epilepsy-related disorders, and microglia activation. Over the past several years, research has shifted from fundamental brain function studies to in-vivo investigations of specific molecular mechanisms. The CSTB (-) mouse model and NF-κB signaling pathway both merit further in-depth investigation. In conclusion, this bibliometric study reveals a surge in epilepsy-microglia research, led by key countries, journals, and researchers. Temporal lobe epilepsy, epilepsy-related disorders, and microglia activation are focal themes. Future directions include exploring microglia activation mechanisms, utilizing animal models, and interdisciplinary approaches.

A Bibliometric Review of the Impacts of Logging in Forests in Semi-Arid Zones

Forest massifs in semi-arid zones play an essential role in maintaining ecological balances and the livelihood of local communities. However, unsustainable logging in these regions can have devastating ecological, and socio-economic consequences. This bibliometric review aims to synthesize the available evidence regarding the impacts of logging in semi-arid ecosystem. Analysis of publication trends reveals a significant increase in research from 2008, reflecting a growing awareness of the issues related to sustainable forest management. The United States, Canada, Australia and China the most prominent countries in this field. The bibliometric analysis of the highlights major concerns related to climate change, clear-cutting, interactions with demographic dynamics and biogeochemical cycles. However, gaps remain, including a lack of data specific to semi-arid areas, limited understanding of the complex interactions between different dimensions of impacts, and insufficient integration of local perspectives and traditional knowledge. This review highlights the need to continue interdisciplinary and collaborative research efforts to ensure sustainable management of semi-arid forests in the face of current and future environmental challenges.