Publication Trends Research Articles

A bibliometric analysis of computational thinking skills: definition, components and assessment tools

This paper provides an in-depth analysis of computational thinking (CT) skills and their assessment. It discusses the definition and components of CT. Various assessment tools, such as surveys, exams, self-assessment instruments, and performance tests, are explored. A bibliometric analysis reveals a growing trend in publications related to CT skills since 1993. The study employs citation analysis, co-citation analysis, and co-keyword analysis, identifying clusters of related work and emphasizing the core ideas of CT skills, their components, and their assessment. The findings highlight the intellectual synergy between publications, particularly the strong conceptual and thematic links between works that often cite each other. The discussion underscores the importance of CT components like abstraction, decomposition, and algorithms, as foundational elements across disciplines, particularly in education and computer science. Additionally, the integration of CT into educational curricula, such as robotics, programming, and STEM, demonstrates its growing significance. The conclusion identifies several gaps in the current understanding of CT, particularly the need for a standardized, widely accepted definition that encompasses all aspects of CT. It also emphasizes the limited focus on the assessment of CT skills and calls for the development of validated and reliable assessment tools. Furthermore, the paper highlights the need for more research on the impact of teacher training programs on CT development, to ensure effective integration at the school level.

Global Trends and Hotspots in the Research of the Effects of PM2.5 on Asthma: A Bibliometric and Visualized Analysis.

Fine particulate matter (PM2.5) has been identified as a significant environmental and public health challenge, particularly due to its association with respiratory diseases like asthma. With the global rise in urbanization and industrialization, PM2.5-related asthma research has grown substantially over the past two decades. This study aims to provide a comprehensive bibliometric analysis to map global research trends, highlight key contributors, and identify emerging hotspots in the relationship between PM2.5 and asthma. We performed a bibliometric analysis using the Web of Science Core Collection database, covering research from January 2004 to September 2024. The selected studies were analyzed using CiteSpace and VOSviewer to assess publication trends, global collaborations, and research hotspots through visualized networks and co-occurrence analyses. A total of 2035 publications were identified, demonstrating a steady increase in research output over the past two decades. The United States and China emerged as dominant contributors, frequently collaborating with countries like Canada, Australia, and South Korea. Key research areas focused on air quality, particulate matter exposure, and asthma exacerbation, with an increasing emphasis on indoor air pollution and long-term exposure risks. Institutional collaborations were led by prominent universities such as the University of California System and Harvard University. Additionally, research on vulnerable populations, particularly children, and the impact of early-life exposure to PM2.5 has gained attention in recent years. The global research landscape on PM2.5 and asthma has expanded significantly, with growing attention to interdisciplinary approaches that combine environmental science and public health. Future studies should focus on the global burden of air pollution, particularly in low- and middle-income countries, and address the long-term health impacts of PM2.5 exposure, especially in vulnerable populations.

Evolving research themes in six selected wood science journals: insights from text mining and latent dirichlet allocation

This study analyzes the status, trends, and future directions in wood science research using text-mining techniques. We applied these techniques to a textual dataset constructed from metadata of six major wood science journals, covering the period from 2002 to 2024. The research explores publication trends, international collaborations, keywords, and research networks, and it employs topic modeling using the Latent Dirichlet Allocation model. The descriptive analysis reveals a consistent increase in publication volume throughout the study period, unaffected by the COVID-19 pandemic. In contrast, international collaboration declined after 2020, likely due to the pandemic. In addition, a network analysis identified key research areas, including surface treatments, structural composites, and high-performance wood products, with lignin, mechanical properties, and moisture content emerging as central keywords. Topic modeling reveals a growing interest in wood modification technologies and an increased focus on studying wood as a sustainable material. The study confirms a shift of the field towards sustainable innovations while also highlighting the enduring relevance of traditional research areas. Future research should adapt to these evolving trends and address emerging challenges to maximize the potential of wood for carbon neutrality and sustainable development. This analysis provides a concise overview of current research trends and future directions in wood science.

Bibliometric Analysis of Artificial Intelligence in STEM Education

This study conducts a bibliometric analysis of artificial intelligence (AI) in STEM education research from 2020 to 2024. The study uses citation analysis to examine publication trends, country contributions, top authors, cited journals, and influential articles in this field. Data was collected from the Dimensions database using the keywords "artificial intelligence" AND "stem education." The analysis reveals a significant increase in publications and citations in 2024 compared to previous years. The United States emerges as the leading country in the number of documents (9) and citations (103). China follows with five documents but no citations. The most cited authors include Nesra Yannier, Kenneth R. Koedinger, and Scott E. Hudson, each with 55 citations. The International Journal of Artificial Intelligence in Education is the most cited journal, with 55 citations. The most influential article, "Active Learning is About More Than Hands-On: A Mixed-Reality AI System to Support STEM Education," received 55 citations. Carnegie Mellon University stands out as the most cited institution, with 55 citations. The findings highlight the growing importance of AI in STEM education research, focusing on personalized learning, advanced analytics, and instructional automation, inspiring us all with the potential of AI to transform the future of education. This bibliometric analysis provides valuable insights for researchers, educators, and policymakers interested in the intersection of AI and STEM.

Scientometric Insights into Rechargeable Solid-State Battery Developments

Solid-state batteries (SSBs) offer significant improvements in safety, energy density, and cycle life over conventional lithium-ion batteries, with promising applications in electric vehicles and grid storage due to their non-flammable electrolytes and high-capacity lithium metal anodes. However, challenges such as interfacial resistance, low ionic conductivity, and manufacturing scalability hinder their commercial viability. This study conducts a comprehensive scientometric analysis, examining 131 peer-reviewed SSB research articles from IEEE Xplore and Web of Science databases to identify key thematic areas and bibliometric patterns driving SSB advancements. Through a detailed analysis of thematic keywords and publication trends, this study uniquely identifies innovations in high-ionic-conductivity solid electrolytes and advanced cathode materials, providing actionable insights into the persistent challenges of interfacial engineering and scalable production, which are critical to SSB commercialization. The findings offer a roadmap for targeted research and strategic investments by researchers and industry stakeholders, addressing gaps in long-term stability, scalable production, and high-performance interface optimization that are currently hindering widespread SSB adoption. The study reveals key advances in electrolyte interface stability and ion transport mechanisms, identifying how solid-state electrolyte modifications and cathode coating methods improve charge cycling and reduce dendrite formation, particularly for high-energy-density applications. By mapping publication growth and clustering research themes, this study highlights high-impact areas such as cycling stability and ionic conductivity. The insights from this analysis guide researchers toward impactful areas, such as electrolyte optimization and scalable production, and provide industry leaders with strategies for accelerating SSB commercialization to extend electric vehicle range, enhance grid storage, and improve overall energy efficiency.

Bibliometric Analysis of Influencing Factors on Nurse Performance

ABSTRACT Nurse performance is a key factor in determining the success of patient recovery and patient satisfaction with the services provided. This article provides a bibiometric analysis of nurse performance by analysing publication trends, geographical contributions, journal types and research topic networks. Data were collected using the Publish or Perish (PoP) application and visualised using VOSViewer. The results showed that the publication trend related to nurse performance has increased with research topics including nursing, workload, hospital, stress and performance quality. The United States, Iran, China, Australia and Brazil were identified as the main contributors to these publications. This analysis provides a visual overview of research topics related to nurse performance, as well as identifying potential areas for further research. Keywords: Nurse, Workload, Hospital, Stress, Quality, Work Environment, Nurse Performance

Global analysis of vasoactive agents in septic shock management: Exploring trends and bridging knowledge gaps

Background: The swift administration of vasoactive agents is essential for effectively managing septic shock. However, the unavailability of norepinephrine—the primary recommended agent—in certain clinical settings necessitates the exploration of alternative solutions. This study aimed to identify both the key focus areas and the under-researched aspects related to this topic. Methods: The Scopus database was searched from inception until August 2, 2024, using a comprehensive list of keywords related to the topics of “septic shock”, “vasopressors”, and “hypotension”. Articles lacking original data, namely narrative reviews, errata, corrections, and conference papers, were excluded from the analysis. No language restrictions were applied. The retrieved search results were examined for publication and citation trends, international contributions by countries and institutions, keyword usage, and funding sources. Data visualization was accomplished using VOSviewer, the built-in Scopus analyzer, the bibliometrix R package, and Microsoft Excel. Results: A total of 7474 publications were retrieved. These studies were published between 1958 and 2024, with the year 2022 representing the highest number of publications, and 2016 having the most citations. While publications had raised until 2022 and dwindled since then, citations had fluctuating patterns throughout the years. The research landscape was marked by contributions from 207 countries, with 160 institutions publishing at least 22 studies each. The United States emerged as the leader in both publications and international collaborations in this field, followed by France, the United Kingdom, China, and Germany. Notably, all of the top 20 countries in terms of publication volume were classified as high-income or upper-middle-income nations, except India. This disparity can largely be explained by the differences in funding allocated to studies in these countries. Furthermore, 28,442 keywords relevant to this topic were collected. The demographic representation in the studies showed a predominance of males and older adults compared to their counterparts and a significant proportion of the studies were clinical investigations. Among the various vasopressors examined, terlipressin, angiotensin II, methylene blue, and selepressin were identified as the least studied agents. Conclusion: Consensus definitions and statements in critical care, particularly for controversial topics, are essential for enhancing communication and improving patient care. There is a need for prioritized research and funding in the Global South regarding enhanced septic shock management. Further studies on vasoconstrictor agents with limited evidence are warranted to strengthen the body of knowledge in this area.

Predicting Future Citations from A.I. Publication Trends: A Comparative Analysis of Forecasting Models

ABSTRACT Forecasting future citations based on trends in A.I. publications in libraries is essential for understanding the long-term impact of academic research. This study evaluates how well historical citation data from 2003 to 2023 can predict future citation patterns and compares the effectiveness of various forecasting models. The analysis includes traditional time series models like ARIMA and Exponential Smoothing, as well as machine learning techniques such as Linear Regression, Decision Tree Regression, Random Forest Regression, and Gradient Boosting Regression. ARIMA and Exponential Smoothing are chosen for their robustness in handling historical trends, while machine learning models are applied to capture complex, nonlinear relationships. The study assesses model performance using metrics such as Mean Squared Error (MSE) and R-squared values, identifying the most accurate models for forecasting. The findings reveal that Exponential Smoothing provides reliable forecasts of future citations, while Random Forest Regression demonstrates superior performance among machine learning techniques. Additionally, linear regression models predict citation and publication trends effectively, though they may benefit from more sophisticated approaches for greater accuracy. This research offers valuable insights for researchers, institutions, and policymakers, helping them anticipate the future impact of academic publications and guiding strategic decisions in research and funding.

Post-COVID-19 Publication Opportunities for Medical Academics in Top Indian Medical Institutes: An Investigation into Productivity, New Venues, and Collaborations

ABSTRACT The COVID-19 pandemic has reshaped research dynamics in Indian medical academia, prompting shifts in publication patterns. Using data from 2017 to 2022 from Scopus, encompassing pre- and post-pandemic periods, the study focuses on the top six medical institutes in India. Despite pandemic challenges, using scientometric analysis, this study reveals increased research productivity, albeit with a decline in book-based scholarly communication. Notably, there’s been a significant rise in unique publication venues post-COVID-19, indicating a shift in publishing preferences. Additionally, medical academics have initiated collaborations with new countries, signaling proactive responses to the pandemic. These findings have crucial implications for medical institutes’ libraries. Libraries, as pivotal information hubs, must adapt to support researchers amidst evolving publication trends. Understanding these shifts enables libraries to tailor services, facilitate access to resources, and foster scholarly communication effectively.

Online public opinion prediction based on a novel conformable fractional discrete grey model

PurposeAs social networks have developed to be a ubiquitous platform of public opinion spreading, it becomes more and more crucial for maintaining social security and stability by accurately predicting various trends of public opinion dissemination in social networks. Considering the fact that the dissemination of online public opinion is a dynamic process full of uncertainty and complexity, this study establishes a novel conformable fractional discrete grey model with linear time-varying parameters, namely the CFTDGM(1,1) model, for more accurate prediction of online public opinion trends.Design/methodology/approachFirst, the conformable fractional accumulation and difference operators are employed to build the CFTDGM(1,1) model for enhancing the traditional integer-order discrete grey model with linear time-varying parameters. Then, to improve forecasting accuracy, a base value correction term is introduced to optimize the iterative base value of the CFTDGM(1,1) model. Next, the differential evolution algorithm is selected to determine the optimal order of the proposed model through a comparison with the whale optimization algorithm and the particle swarm optimization algorithm. The least squares method is utilized to estimate the parameter values of the CFTDGM(1,1) model. In addition, the effectiveness of the CFTDGM(1,1) model is tested through a public opinion event about “IG team winning the championship”. Finally, we conduct empirical analysis on two hot online public opinion events regarding “Chengdu toddler mauled by Rottweiler” and “Mayday band suspected of lip-syncing,” to further assess the prediction ability and applicability of the CFTDGM(1,1) model by comparison with seven other existing grey models.FindingsThe test case and empirical analysis on two recent hot events reveal that the CFTDGM(1,1) model outperforms most of the existing grey models in terms of prediction performance. Therefore, the CFTDGM(1,1) model is chosen to forecast the development trends of these two hot events. The prediction results indicate that public attention to both events will decline slowly over the next three days.Originality/valueA conformable fractional discrete grey model is proposed with the help of conformable fractional operators and a base value correction term to improve the traditional discrete grey model. The test case and empirical analysis on two recent hot events indicate that this novel model has higher accuracy and feasibility in online public opinion trend prediction.

Critical Insights on Truthfully Reporting "Success Rates" in Modern Stroke Research: A Cautionary Tale.

In 2015, several trials confirmed the safety and efficacy of mechanical thrombectomy for acute ischemic stroke. These findings revolutionized acute ischemic stroke treatment and established mechanical thrombectomy as a standard of care. Subsequent studies have further validated that optimal clinical outcomes are closely associated with achieving higher grades of complete reperfusion and minimizing the number of retrieval attempts. As a result, in recent years, the field has seen a growing trend of publications aggressively pursuing the highest rates of angiographic success. This trend is further exacerbated by the proliferation of impressive individual case reports shared on social media platforms, often devoid of significant scientific merit or educational value. We aim to review the potential biases in authors, which may incur when reporting recanalization rates, and underscore the importance of truthfully reporting success rates.

Research trends in swimming and diving: A five-year bibliometric analysis (2019-2023)

Background Problems: The field of sports research has experienced varying degrees of development, with certain areas, such as swimming and diving, showing slower progress in publication trends over recent years. Research Objectives: This study aims to provide a comprehensive overview of research trends in swimming and diving over the past five years (2019-2023) using bibliometric analysis. Methods: This study examined 389 Scopus-indexed swimming and diving papers published between 2019 and 2023. Researchers conducted co-word analysis and text mining using VOSviewer to identify key research trends. Finding/Results: The analysis reveals a consistent increase in research trends in swimming and diving, with the United States leading the way in terms of publication output and Indonesia ranking 13th. Influential authors such as Lippmann, John M., Schipke, Jochen D., and Koch, Andreas Edmund, made significant contributions to the field. The majority of publications focus on the sport of swimming, highlighting the research gap in the sport of diving. Conclusion: This bibliometric analysis provides valuable insights in the development of research in the field of swimming and diving, emphasising the need for further research to optimise training methods and improve athlete performance in these sports.

Spatial Sound Design for Cinematic Virtual Reality—A Bibliometric Analysis

Virtual reality (VR) has widespread application across multiple fields, including education, entertainment, medical, training of soldiers and pilots using virtual simulation. Entertainment is one of the fastest-growing fields, including games, theme parks, virtual tours, live events and films. In entertainment, cinematic virtual reality (cine-VR) is fast emerging as an effective way of immersive storytelling. Spatial sound design is considered pivotal in enhancing the immersive experience of cine-VR, redefining how audiences engage with narratives. Since 2012, there has been a steady increase in interest in cine-VR; however, the scholarship on sound design for cine-VR still needs to be expanded with focused studies. This bibliometric analysis delves into the scholarly landscape to gain insights into spatial sound design research trends in cine-VR. A systematic search of the Web of Science Core Collection database revealed 910 English documents published between 2012 and 2024 (June). Information retrieved through 269 shortlisted articles was analysed using the Web of Science analysis tools, VOSviewer and RStudio. The bibliometric analysis identifies, quantifies, visualises and analyses publication trends, influential authors, key journals, prevalent keywords, co-occurrences of keywords, collaborative networks and global distribution patterns. The United States of America is the most influential country with the most publications, followed by Germany and France. Eight hundred and fifty-two authors affiliated with 352 institutions from 39 countries contributed to 269 shortlisted publications. Stefania Serafin is the most influential author in the field and has the most publications. Aalborg University leads with most publications. The articles from Columbia University received the maximum number of citations. The most used keywords are VR, spatial sound and localisation. Cine-VR is an emerging field, and the study’s findings will be relevant to academia and industry to understand better current research trends and themes in spatial sound design in cine-VR. The findings will guide further explorations in the field.

A bibliometric analysis of mental health among high school students

BackgroundIn recent years, with the increase in academic pressure and changes in social environment, especially after the outbreak of COVID-19, there has been a significant impact on the mental health of high school students. This trend, which is concerning, requires a systematic bibliometric analysis to develop effective preventive and remedial measures.ObjectiveThis study aims to identify and analysis the research hotspots, frontiers and emerging trends in the field of high school students’ mental health over the past two decades using CiteSpace software. These findings provide important insights that can shape future research agendas and guide targeted interventions to improve the mental health outcomes of this vulnerable group.MethodsThis study utilized the Web of Science Core Collection database as its data source to retrieve literature pertaining to high school students’ mental health from January 1, 2004, to January 1, 2023. The initial search yielded 1,764 relevant documents. After manually screening to exclude duplicates, conference proceedings, announcements, and irrelevant documents, a total of 1,748 relevant documents were retained. The research employed the CiteSpace 6.2.R4 tool to evaluate various bibliometric indicators of the included literature, including statistics on institutional and author publication volumes, as well as co-citation analysis.ResultsA total of 1,748 English-language documents were retrieved, showing an upward trend in publications on high school students’ mental health from 2004 to 2024. The research hotspots primarily focus on COVID-19 pandemic, depression, bullying, substance abuse, sexual behavior, Physical Education and their relationships with the mental health of high school students. Future research trends may focus on studies investigating the relationships between the use of electronic cigarettes, sleep disorders, internet addiction, and the mental health of high school students.ConclusionIn addition to the six major research hotspots of COVID-19 pandemic, Depression and stress, Suicidal ideation, Bullying, Sexual behavior and Physical education. Researches should pay more attention to the use of electronic cigarettes, sleep disorders, and Internet addiction among high school students.

Bibliometric Analysis of Medical Professionals' Professionalism on Healthcare Service Quality: A Study Using VOSviewer

Bibliometric analysis is a method used to describe various scientific publications (Tupan et al., 2016). This study employs bibliometric analysis on several Scopus-indexed articles discussing the topic of medical professionalism and its impact on healthcare service quality, using VOSviewer software. The aim of the bibliometric analysis in this research is to understand the development of the topic, publication trends, statistics across different countries, and subject areas related to medical professionalism and healthcare service quality from 2016 to 2023. Data were retrieved from the Scopus database using the keywords "medical professionalism and quality of health service". The researchers then used VOSviewer software to analyze and visualize the retrieved database. The results comprised 194 documents, which were narrowed down to 182 documents for the period of 2016-2023.

Concerning Sustainable Development of Economic Systems

The article studies the essence of the sustainable development conception and explains the necessity for social and economic systems of different scale and level to pass to the self-supporting trend. Overcoming difficulties connected with natural restrictions of civilization progress makes managers comprehend deep nature and immanent phenomena of social and economic systems and use relevant new mechanisms of management in practice. Special attention is paid to such natural system laws as entropic dynamics and self-organization. The authors put forward methodological principles of shaping the sustainable innovation infrastructure of the Russian economic system and demonstrate the most important targets for phase analysis and optimization of its development. The article identifies specific system characteristics, which should be taken into account to implement strategic plans of sustainable development. The authors highlighted the principle condition for sustainable development of Russia, i. e. social and economic transformation that is mainly stipulated by progress in ethics and alteration in public morals trend.

Global Trends and Hotspots in Non-Targeted Screening of Water Pollution Research: Bibliometric and Visual Analysis

Non-targeted screening (NTS) technology has been showing significant potential in identifying contaminants of emerging concern (CECs) in water and has attracted great attention in academia in recent years. It is a method that analyzes samples without pre-selecting substances, enabling the detection and identification of unknown compounds, which is crucial for environmental health and public protection. This study uses the Bibliometrix package in R 4.4.1 and CiteSpace 6.3.R1 software to statistically analyze 589 relevant publications from the Web of Science Core Collection from 2007 to 2024. Our work concentrates on NTS of water bodies; thus, articles that only analyze water sediments without analyzing the water were not considered for inclusion. By conducting a quantitative analysis and visualizing the publication trends, countries, authors, journals, and keywords, the present study identifies research hotspots, compositions, and paradigms within this field, trying to analyze the horizontal and vertical development trends and structural evolution of the research area. The research found that the application of NTS in water pollution studies has progressed through three phases: theoretical exploration, rapid development, and steady progress. From the national level, China leads with the highest number of publications (131), followed by Germany (105), Spain (50), and the United States (39). The top three authors by publication volume are J. Hollender, Nikolaos S. Thomaidis, and Emma L. Schymanski, while the top three by citation count are J. Hollender, Emma L. Schymanski, and M. Krauss. However, international collaboration between countries and researchers still remains an area for improvement. Science of the Total Environment is the journal with the highest number of publications (81), and Environmental Science & Technology holds the highest number of citations. Research on NTS methodologies, suspect screening, and health risk assessments are hot topics in the academic community. Future research is expected to be multidisciplinary, with emerging hotspots likely to focus on including the identification of novel pollutants through NTS, toxicity assessments of biotransformed compounds, and the health impacts and mechanisms of related compounds.

Chinese corporate governance research over the last decade (2014 - 2023)

This paper aims to summarize the academic research trend of corporate governance in China from 2014 to 2023. We collect papers published in the journals included in the Chinese Social Sciences Citation Index (CSSCI) and Association of Business School (ABS) rating above 3 stars. We analyze keywords, journal distribution, authors, and other information to understand the trend of Chinese corporate governance research and publications. On this basis, we carry out bibliometric analysis to summarize the hot and emerging topics of Chinese corporate governance research over the past ten years. Finally, we propose possible future research prospects.

Uterus transplantation: A bibliometric review of six-decade study from 1960 to 2024.

Some women are unable to become pregnant because they do not have a functional uterus. Over the last decade, it has become possible for these women to get pregnant through uterus transplantation, which has been the subject of numerous research studies. Therefore, the purpose of this study is to review published articles in the uterus transplantation area. We conducted a cross-sectional bibliometric review to study the 100 highly cited papers in the Web of Science and Scopus databases from 1960 to 2024. Our research applied bibliometric analysis to these top 100 highly cited papers. Document citation and co-occurrence analysis were used for the data study. VOSviewer along with Bibliometrix® software was used to design the maps. The trend of uterus transplantation publications increased exponentially after 2010. Sweden is the leading country, followed by the USA and Spain. Fertility and Sterility, Lancet, American Journal of Transplantation, and Human Reproduction were the highly cited journals. Collaboration among countries showed that the most collaboration took place between Sweden and Spain (18), Sweden and the USA (14), the USA and Spain (8), Sweden and Australia (6), and the USA and the United Kingdom (6). Furthermore, the results found that more than one-third of the highly cited papers were review papers (39%) and 27% were clinical trial studies. This bibliometric review provides a valuable contribution to the literature on uterine transplantation by synthesizing and analyzing existing research findings. It offers insights into current trends, key themes, geographic distribution, and potential areas for future research within this rapidly evolving field.

Authorship and publication trends in the congenital hand surgery literature.

This study assessed authorship and publication trends in congenital upper limb difference literature. Congenital upper limb difference literature is widely distributed across multiple journals; no single journal published a clear majority. Female authorship was more likely, though reasons for this remain unclear.