Bibliometric Analysis Of Publications Research Articles

National and International Comparisons of Gynecological Research in Germany Based on a Bibliometric Analysis of Publications.

Recent years have seen a considerable shift from male doctors to female doctors in the field of gynecology. Female doctors are traditionally more involved with planning and maintaining their family. For gynecology, this could be associated with a risk that research activities will decrease, particularly if results are published in scientific journals. In view of this shift, a comparative observational study was carried for 2022 in which 1306 publications were matched to 1786 female and male doctors reported on the websites of the 44 locations of university gynecology departments in Germany. In addition, the volume of publications issued between 2014 and 2022 was compared for Germany, France, the United Kingdom, and the United States. In Germany, the volume of publications in Gynecology was additionally compared with the publication outputs of the specialties Urology and Trauma Surgery. Since 2014, the increase in the numbers of publications in the field of Gynecology in Germany was lower (225%) than that of the countries with which it was compared (238%/252%/260% for F/UK/USA). When Gynecology was compared with other medical specialties in Germany, the number of publications in Urology were found to have increased at a lower rate (196%) while the number of publications in the field of Trauma Surgery increased by more (286%) than that of Gynecology. At the start of 2023, the percentage of women who were working as doctors at the lowest hierarchical level (junior doctor) was 81%. The publication output per capita of female doctors working at lower levels in the medical hierarchy, i.e., working as junior doctors and senior physicians, was between 40% and 80% lower than that of male doctors working at the same level. However, female directors published as much as male directors did. In the lower hierarchy levels, men were up to 14% more likely to be without an academic title. Predictors for more extensive publication activities by young female and male doctors include the extent and quality of publications by doctors in senior positions, the presence of a comprehensive cancer center or an institute for human genetics at the location where the young doctors were working, and joint publications with foreign authors. For the German Society of Gynecology and Obstetrics, the results suggest a number of approaches to promote young researchers. The support provided to young female doctors is especially important as this should help to retain them as junior researchers over the long term.

Using artificial intelligence to implement the UN sustainable development goals at higher education institutions

ABSTRACT Artificial intelligence (AI) can significantly contribute to the implementation of the United Nations Sustainable Development Goals (SDGs) by offering innovative solutions and enhancing the efficiency of processes aimed at achieving these goals. There is a perceived need for studies which may look at these connections. Against this background, this paper reports on a study that investigated the connections between artificial intelligence and the implementation of the UN Sustainable Development Goals (SDGs) at higher education institutions. The paper deployed a multi-methods approach. The first one was a bibliometric analysis of publications in the topic. The second method used was an assessment of a set of case studies, that illustrate how artificial intelligence is being deployed among a sample of universities in support of efforts to implement the SDGs and a survey aimed at identifying current and future trends. The data gathered allow some trends to be identified. For instance, that there is a wide range of applications of AI to sustainability in High Education Institutions (HEI), to be chosen in terms of campus operations and greening, outreach and community engagement, research, teaching and learning, and university management. Also, the paper has identified successful examples of the deployment of AI in various sustainability contexts, illustrating what are the success factors for them. Moreover, the survey identified the fact that the use of AI is quite widely spread, and is likely to increase in coming years, due to a greater demand. Finally, AI also poses several challenges, such as authenticity and ethics in assessment (case studies), ‘lack of access to software/materials’, and ‘lack of information technology training for myself/my colleagues’ (survey). Overall, AI offers a powerful toolset to accelerate and enhance the implementation of the UN SDGs. By analysing vast datasets, predicting outcomes, optimising processes, and providing new insights, AI has the potential to address complex sustainability challenges across various sectors.

Approaches, Trends, and Gaps in Community-Based Ecotourism Research: A Bibliometric Analysis of Publications between 2002 and 2022

Community-based ecotourism (CBET) has emerged as an alternative that seeks to integrate environmental, cultural, social, and economic sustainability through community participation, generating increasing interest in research. In this context, we conducted a bibliometric analysis to understand the research patterns, trends, and gaps associated with scientific production on CBET between 2002 and 2022. To achieve this, articles related to CBET and its variants were extracted from Scopus and Web of Science. A total of 1145 publications were selected. Sustainability is the journal with the most articles published on CBET. The countries with the highest scientific production were the USA and China. Most of the studies were conducted in protected areas. The most used data sources are interviews and case studies. The field research focused on evaluating impacts and identifying perceptions, attitudes, or experiences. Despite the recent increase in the number of publications, there are still gaps related to the inclusion of indigenous populations, the use of quantitative methods in the research, the evaluation of the impact of CBET on biodiversity conservation, and the disparity between countries leading academic production and those developing CBET initiatives. These patterns and gaps suggest areas of opportunity for future research, strategies, and policies in the field of CBET.

Bibliometric analysis of publications on osteoarticular brucellosis

Objectives: The aim of this investigation was to undertake a thorough bibliometric analysis of publications between 1991 and 2022 to scrutinize and comprehend the research landscape of osteoarticular brucellosis, a zoonotic infection that affects bones and joints. Methods: We scrutinized the distribution of publications by various criteria, including country, institution, author, and journal. Furthermore, we executed citation analysis, established collaboration networks, and performed keyword co-occurrence analysis. Results: Our examination discovered 432 documents on this topic indexed in the Web of Science database, with a noticeable surge in publications over time. Turkey, the United States, and Iran were the leading nations in terms of research output. The University of Buenos Aires emerged as the most productive institution. The primary research areas were General Internal Medicine, Infectious Diseases, and Rheumatology. The primary beneficiary of this research was Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT). Conclusions: This study furnishes valuable insights into worldwide research endeavors on osteoarticular brucellosis. These insights can steer future research directions, emphasizing the necessity for sustained collaboration and funding support to tackle this significant public health issue.

A Bibliometric Analysis of Publications on Obesity and Hypertension

A Bibliometric Analysis of Publications on Obesity and Hypertension

Global research trends in prediabetes over the past decade: Bibliometric and visualized analysis.

This study aimed to investigate global research advances and hot trends in prediabetes in the last decade based on a bibliometric analysis of publications. Publications from 2013 to 2022 were retrieved from the Web of Science Core Collection database through a topic search. With the use of CiteSpace, VOS viewer, and Bibliometrix R software packages, the number of publications, production categories, countries/regions, institutions, authors, journals, references, and keywords were comprehensively analyzed to sort out the hot spots and directions of prediabetes and predict the future research directions. A total of 13,223 papers were recruited for this study by the end of March 3, 2023. A generally increasing trend was observed in the number of annual publications. PLOS ONE (journal), USA (national), and the University of Copenhagen (institutional) published the most papers in this research area. The top 3 contributor authors were Tuomilehto Jaakko, Rathmann Wolfgang, and Peters Annette. "Intestinal microbiota" (2020-2022) was the most populated keyword in terms of intensity, and "biomarkers," "gut microbiota," and "metabolomics" were the most populated keywords in the last 3 years. "Prediabetes: a high-risk state for diabetes development-2012" was the strongest burst reference. This study summarized the research hotspots and trends in prediabetes research in the last decade. Frontier research can be found in the journal Diabetes Care and Journal of Clinical Endocrinology Metabolism. Prediabetes research focuses on preventing risk factors to reduce the prevalence of prediabetes, and current research hotspots focus on gut microbes and metabolism-related biomarkers.

Earthquake-Related Lung Diseases; A Bibliometric Analysis of Publications

Aim: Earthquake-related lung diseases (ERLD) can be seen as direct and indirect disaster results. ERLD such as inhalation of dust and particulates from collapsed buildings in earthquakes, aspiration of water and pathogens due to tsunami after earthquakes, pulmonary thromboembolism, infectious respiratory diseases, and chest traumas can develop after earthquakes. The aim of this bibliometric review is to explore the intellectual structure of ERLD publications.
 Material and Methods: A search strategy for databases related to the ERDL area was developed. 334 articles were accessed in the Web of Science database. As a result of the full-text readings, 152 articles remained, and 152 articles were subjected to citation and co-citation analysis with bibliometric software. In addition to this research, methodologies based on cluster analysis were used to examine the intellectual structure of the field.
 Results: When the time period of the publications is examined, it is seen that the first publication was published in 1996. When the top three authors are examined, Yanai shares the ranking with 6 publications, Ueda 6 publications, and Kobayashi 5 publications. Japan, also an earthquake country, is in first place with 50 publications. Three main clusters were identified. These clusters are “chest traumas: types, frequency, and medical intervention strategies," “earthquake preparedness and earthquake response capacity," and "respiratory tract infections and an earthquake."
 Conclusion: In addition to identifying the most influential journals, authors, and countries on earthquakes in the area of ERLD, this research identified the dominant research themes in this field. Our research outlines the area of ERLD, provides an agenda for future research, and contributes to the fact that the relationship between earthquakes and pulmonary diseases is studied more deeply.

Bibliometric analysis of publications on kinesiophobia in orthopedics between 1970 - 2023

Aims: This bibliometric study aimed to examine the hotspots and frontiers of kinesiophobia research in orthopedics and to assess the overall scientific output of the field. Methods: The Web of Science Core Collection was mined for articles on kinesiophobia that were published between 1970 and September 2023. Using common bibliometric indicators, Vosviewer was used to examine the number of publications, countries, institutions, journals, authors, cited references, and keywords. Results: The results of a bibliometric analysis focused on the body of knowledge on kinesiophobia. The study analyzed 2,035 articles from 75 different countries and identified important trends and groundbreaking research. In particular, there has been a steady increase in recent years, with publications increasing significantly between 2001 and 2012. The highest contribution came from the United States and the most cited articles addressed clinical recommendations for low back pain. Both the Florida State University System and the University of Florida made significant contributions. With a total of 51,443 citations, this study provides a comprehensive overview to help guide future research in orthopaedics and related fields. Conclusion: The results of this bibliometric study give an overview of the state and trends in clinical research on kinesiophobia and may be used by researchers to pinpoint hot themes and consider fresh lines of inquiry.

A bibliometric analysis of publications on ChatGPT in education: Research patterns and topics

This paper aims to conduct a bibliometric analysis and a comprehensive overview of publications on ChatGPT in educational research. This research also aimed to present the bibliometric results to interpret the research patterns and themes of the application of ChatGPT in educational research. The researchers used the VOSviewer program to conduct a bibliometric analysis and identify research patterns and topics in publications indexed in the Scopus database. For this purpose, the researchers used the Scopus database to find related publications. After applying inclusion and exclusion criteria, they found 82 publications and analyzed them using the bibliometric method. This study showed that researchers from 42 countries examined various topics, including academic writing, artificial intelligence’s (AI) potential, and benefits, using ChatGPT in research, exploring best practices, and reviewing AI. The keyword analysis results showed that five clusters emerged from the current studies on ChatGPT in education research. These results showed that researchers focused on understanding the use of ChatGPT in medical and nursing education, generative AI’s ethical dimensions, the effects of ChatGPT on educational outcomes, large language models and medical education, and ChatGPT and AI. In general, the use of ChatGPT in educational contexts and research is frequently discussed in the publications analyzed in this study. In addition, medical and nursing education was the most studied of the many research studies. Based on the obtained results, recommendations for further studies are drawn.

Bibliometric analysis of publications on stigmatization in psychiatric nursing literature

Bibliometric analysis of publications on stigmatization in psychiatric nursing literature

Analysis of the process of emergence and development trends of Ukrainian and Eastern national types of martial arts

Background and Study Aim. National types of martial arts have been created and are functioning in Ukraine, which are gaining more and more popularity in the world. Modern sports science investigates the history of the creation of national types of martial arts. The purpose of the article is to investigate the historical origins of the emergence and development of Ukrainian and Eastern national martial arts. Material and Methods. 217 sources of information on the history of traditional Ukrainian martial culture were analyzed. Bibliometric methods of processing the received information were used. After the initial analysis, 34 sources were selected, which fully correspond to the purpose of the study. Results. The stages of the formation of the Ukrainian nation are quite fully covered in scientific historical sources. The mutual connection between the development of society and its martial culture is shown. It is reliably known about the presence of military training in the era of the Trypil culture (approx. 5400 - 2750 BC). It is shown that the complication of social relations and the development of material production created conditions for the separation of the caste of professional warriors. Professional soldiers conducted specialized training for weapons and physical fitness. In combat units, young men were trained for combat operations. The military training of professional soldiers reached its maximum development during the period of existence of Kyivan Rus (IX-XIII centuries of the new era). Literary sources provide information that the national physical culture developed at the same time as the complex of military-applied youth training. The training included fencing with various types of weapons, archery and types of unarmed combat. On the banks of the Dnieper, on the island of Khortytsia, the Cossacks formed the military society of Zaporizhzhya Sich (16th - 18th centuries of the new era) and on a systematic basis conducted preparations for conducting military operations. Varieties of fencing, wrestling and fist fighting were developed at a high level. Data given in scientific sources indicate that the Cossack martial arts became the basis of modern Ukrainian national types of martial arts. In Japan, in the process of the foundation of the country (1603-1868 years of the new era), a national martial culture was formed based on the training of samurai warriors. Conclusions. The bibliometric analysis of publications on the history of Ukraine determined the correlation between the stages of the formation of the Ukrainian nation and the development of the military culture of Ukraine. The significant influence of religion on the consciousness of Ukrainians makes it possible to divide martial arts into pre-Christian (Trypylian and Indo-European cultures) and Christian (Kyiv Rus, Zaporizhzhya Sich). A comparison of the emergence and development of traditional national martial arts of Ukraine and Japan makes it possible to highlight the general patterns of formation of modern national types of martial arts.

Major depressive disease research in BRICS: A bibliometric analysis of publications from 2003 to 2022

Major depressive disorder (MDD) seriously threatens human health. BRICS, known as an acronym for “Brazil, Russia, India, China, and South Africa,” were also actively carrying out researches on MDD. This study aimed to conduct a bibliometric study of research on MDD conducted by the BRICS. By searching in the Web of Science and using the software Vosviewer and Citespace as analysis tools, this study analyzed the cooperation network at the country, institution, author-specific levels, the research hotspots and trends from BRICS between 2003–2022. A total of 10,911 articles were finally included. Our findings showed that researches on MDD from BRICS rapidly increased during the past two decades. China and India have shown explosive growth, while South Africa has the largest average “Usage Count” and “Time Cited”. The current cooperation partners of the BRICS were mainly high-income countries and other developing countries with similar cultures, languages, and geographical locations. Institutions in high-income countries served as the main bridges for BRICS cooperation, while at the author level, some core authors in the BRICS countries serve as centers. China showed a flexible model in domestic partnership, but institutions and authors in the other four countries have gathered to cooperate within the group. BRICS research on MDD mainly focused on cognitive science, brain science, epidemiology, and disease mechanisms. The keywords“gut microbiota”, “network analysis,” “machine learning” and “sleep quality” showed explosive growth and might become research hotspots in the near future. This bibliometric analysis provided a science knowledge graph and references for other researchers.

Bibliometric analysis of publications on the use of artificial intelligence in digital marketing

This study analyzes the evolution of research on machine learning in marketing from 1991 to November 16, 2022. The search was carried out in several databases and the terms "machine learning" and "marketing" were used. 2,358 articles were found, from which important indicators were obtained: 2021 has been the year with the highest publication activity with 234 articles. The most productive authors are from various fields, including computer science, marketing, and data analysis. The most cited article focuses on the application of deep learning in the fashion industry. The results suggest that research on aprendizaje automático in marketing is growing rapidly and has the potential to transform marketing practices. The need for more research is highlighted to assess the quality of the research and its impact on the scientific community. Bibliometric analysis is a tool that allows the researcher to carry out bibliographic searches effectively, since it generates an overview of the trends in research on the subject

Bibliometric Analysis of Publications on “Hazards and Health Effects Associated with Welding” From 2010 – 2023

An overview of the hazards and health effects associated with exposure to welding fumes is provided in this paper through adaptations from various sources. The growing concerns around welding and its attendant health effects are valid as welding fumes are inherently hazardous and are composed of particulate matter from condensed metals and obnoxious gases such as Ozone which have been implicated in the aetiology and pathophysiology of many diseases including cancer. Information currently available from various published study works is described in the review. In accordance with the bibliometric analysis, "The United States" ranks as the most prolific contributor, with a large collection of works from active organizations such as the National Institute of Occupational Safety and Health (NIOSH). Additionally, author cooperation has increased recently and is more common in groups. Three hot themes in welding-related hazards and health effects—"human," "age," and "occupational exposure"—were identified across all keyword analyses. Furthermore, oxidative stress, occupational diseases, risk management, cohort studies, and air pollutants in welding were identified as new themes by the keywords analysis. To the extent that we are aware, this study is the first explicit bibliometric approach to visualize the research field of health and hazard impacts related to welding. It is helpful for locating hotspots in active research now and for speculating on prospective future research areas.

Bibliometric Analysis of Publications on Digital Innovation and Sustainability

The main purpose of this study is to conduct bibliometric analysis through visual mapping of publications in digital innovation and sustainability indexed in Web of Science and SCOPUS databases. The bibliometric method was preferred to map the changes in publications in the field in a certain period. The VOSviewer and BibExcel software were used for network maps of the trend of publications during the examined period. The study analyzed 670 articles published in 168 journals to reveal the state of the intellectual structure and emerging trends in the field. For this purpose, co-word, citation, co-citation, author, and country productivity were analyzed. In the examined period, Germany had the most digital innovation and sustainability publications, and Romania had the fewest publications. The co-word analysis identified a thematic relationship among the frequently co-occurring keywords "value, digital talent, and business models". In addition, it has been determined that Vinit Parida is the most published author, and Youngjin Yoo is the most cited author. It was determined that publications started to increase in 2017 and increased rapidly, especially after 2019. It can be argued that the search for innovative applications, forced by the pandemic conditions, effectively increased the number of publications after 2019.
 Key Words: Digital Innovation, Sustainability, Bibliometric Analysis
 JEL Classification: O32, Q55, Q56

The Conceptual Basis of Popular Science Events in the Modern Library Space

The article is devoted to the methodological analysis of the concept of “popular science event”. The study begins with a bibliometric analysis of publications from Russian Science Citation Index and scientific electronic library eLIBRARY.RU, selected by the search prescription “popular science event”. The main research method was the analysis of the flow of publications related to the thematic area “popular science events” from January 1, 2008 to September 14, 2023. A total of 75 relevant articles were selected for the research topic. Based on the general bibliometric indicators of the selection of publications on the topic of popular science events, conclusions were drawn about the local nature of the analyzed topic. The greatest interest in this topic was aroused by specialists in the field of pedagogy, cultural studies and economics. In general, this area of activity is now relevant, but it is not sufficiently developed in methodological terms. There is no definition of this concept in publications, however, due to the development of communicative practices in which the genre of popular science event is used, its introduction into the terminological range is required. Therefore, the next stage of the research is the operationalization of the concept under study. The greatest attention is paid to the analysis of publications from the field of library science. The dictionary articles devoted to the interpretation of the main component of the considered concept “event”, including the specific context of use — “library event”, are also regarded. Popular science events held in libraries have different goals, objectives, content and composition of participants. Depending on the content of the listed characteristics, such events become important for self-education of people and assistance to the scientific community in popularization of science.The article may be useful for specialists whose work is related to the organization of popular science events in libraries and popularization of scientific knowledge in general.

Artificial Intelligence and Forensic Sciences: A Bibliometric Analysis of Publications

Artificial Intelligence and Forensic Sciences: A Bibliometric Analysis of Publications

Bibliometric analysis of publications on attention deficit hyperactivity disorder (ADHD) in France since 1974

BackgroundThe predominance of the psychodynamic approach is often put forward to explain the delay in diagnosis and treatment of attention-deficit disorder with hyperactivity (ADHD) reported in France. ObjectiveA bibliometric study of abstracts, articles, or letters authored by French researchers may provide objective insight into this issue. MethodsOnline electronic databases were searched without any date limits for documents related to ADHD, and allocated to the AllFR group when all authors had an affiliation in France or to the notAllFR group when at least one author had an affiliation in France. Publications expressing any psychodynamic point of view on the causes and/or treatment of ADHD were identified. ResultsA total of 747 documents were analyzed: 417 were exclusively indexed in SCOPUS, and 418 were allocated to the AllFR group. Compared with documents in the notAllFR group, documents in the AllFR group were written by a smaller number of authors (median 3 vs. 6, p<0.002), more frequently evoked psychodynamic concepts (10.45% vs. 1.67%, p<0.001), and less frequently acknowledged the persistence of ADHD in adulthood (29.10% vs. 42.14%). The psychodynamic approach was likely to rely on case reports of fewer than three children. ConclusionsAny serious review of the literature should pool documents from several online databases, especially SCOPUS. In publications by only French authors, the psychodynamic approach seems predominant and the persistence of ADHD in adulthood is overlooked. This may concur with the excessive delay observed in the diagnosis and treatment of children and adults in France compared to other European countries.

Art Therapy as an Intervention for Children: A Bibliometric Analysis of Publications from 1990 to 2020

This bibliometric study analyzed characteristics of publications related to art therapy for children from 1990 to 2020, based on the datasets taken from Web of Science (WoS) core collections. The results indicate that the USA, Israel, Germany, UK, Australia, and Canada were six leading countries in this field of research interest. The Top 5 most influential journals were identified by the number of publications, TLCS, TGCS and by their impact factor. Five leading journals in the art therapy studies include Arts in Psychotherapy, American Journal of Art Therapy, Child &amp; Family Social Work, Frontiers in Psychology, and Monatsschrift Kinderheilkunde. Core themes from the 87 articles focus on surrounding socialization and attachment relationship, art therapy for the well-being of children with learning disabilities, alternative intervention for art therapy, and parent-child art therapy. This bibliometric study portrayed the development of art therapy for children by means of visualization techniques. The potential issues emerging from the data will contribute to future studies in this field. Multiple methods of art therapy are applied for all children’s well-being; as such, children’s art therapy in schools can be seen as the potential trend for researchers and teachers.

Gender Variation, subject dispersion and citation impact in dental research: A bibliometric analysis of publications from 2009–2021

AimThis study probed into the gender variation, subject dispersion and citation impact of dental research with an objective to highlight the increasing influence of female authors in the field of dentistry. MethodologyThe research employed bibliometric techniques to highlight gender variation in dental research as demonstrated in the Saudi Dental Journal (SDJ), over a period of thirteen years, 2009–2021. The examination comprised SDJ publications indexed in PubMed, with citation data extracted from Google Scholar on July 2023. The analysis encompassed the progressive growth of papers, authors, and citations, the gender distribution of authors, the co-authorship structure, subject dispersion, and collaboration patterns based on affiliation, both national and international. Results625 SDJ publications were identified in the PubMed database from 2009 to 2021. There was a notable rise in the volume of papers and the number of authors per year. The citation impact analysis revealed that these 625 papers achieved an average of 26 citations each. Remarkably, the representation of female authors increased from 0.47 to 2.23 authors per paper during the study period. The authorship pattern largely showed single-authorship, closely followed by a three-author pattern. Almost half the papers (48%) were a collaboration between male and female authors, with female authors solely producing about 15% of papers.The topological classification of papers revealed that the most considerable number of papers were on Periodontics, with the least number focusing on Oral and Maxillofacial Surgery. Female authors prominently contributed to Pediatric Dentistry and Periodontics papers. ConclusionThe study illustrates an encouraging trend of heightened female authorship in dental research over the years. Their increasing engagement not only enriches the academic diversity but also impacts the progressive evolution of dental science, contributing to a more inclusive and balanced society.