Field-weighted Citation Impact Research Articles

The Most Influential Publications in Oral and Maxillofacial Surgery Over the Past Decade

Reliable metrics are needed to measure the impact of academic publications in order to fully understand and evaluate the contributions of articles published in the field of oral and maxillofacial surgery(OMFS). The aim was to identify and analyze the top 100 articles each year, with the highest Field-Weighted Citation Impact(FWCI) and citation counts, in the field of OMFS over the past decade, totaling 1,000 articles. The research was conducted on April 20, 2024, using the Scopus database. It identified the top 100 articles each year with the highest FWCI from the top six journals with the highest metric scores in OMFS, totaling 1,000 articles. The citation counts of these publications in Google Scholar were also recorded. The predictor variable was the articles. The primary outcome variable was the FWCI value, while the secondary outcome variable was the number of citations. The covariates were the journals in which the articles were published, the publication year, the type of document, the type of access policy, and the subject of the research. There was a weak positive correlation between FWCI and citation count(rho=.083, P=.009). All covariates significantly affected FWCI(P<.005), while all but access policy significantly affected citation count(P=.167). The highest average FWCI(6.31±5.51) was observed in the Journal of Stomatology, Oral and Maxillofacial Surgery(JSOMS), and the highest citation count was found in the Journal of Oral and Maxillofacial Surgery(JOMS)(61.5±126.4). Orthognathic Surgery and Dentofacial Deformities were the scientific fields with the most publications(14%). COVID-19 and Artificial Intelligence had the highest FWCI(8.65±10.98 and 7.68±6.42, respectively). MRONJ had the highest average citation count(88.6±254). This study demonstrates that using both FWCI and citation count metrics can more accurately assess the impact of academic publications in the field of OMFS. These findings can serve as a guide for future research and contribute to strategic decisions aimed at improving clinical practices and patient care.

Scientometric Analysis of Global Scientific Production on Dragon Fruit in the Food Nutrition Industry: Dynamicity, Emerging Patterns, and Thematic Evolution

The objective of the study was to perform a scientometric analysis of the scientific production of dragon fruit in the food industry. A descriptive study was conducted based on the scientific production published between January 2018 and April 2024. Papers were identified through a search in the Scopus database, resulting in 266 manuscripts. Several scientometric indicators were used to analyse the scientific output, including author, affiliation, country, academic output, citations per publication, field-weighted citation impact, and h-index. Despite an annual growth rate of −14.72%, the average age of the papers was 2.91 years, with an average of 9015 citations per paper. The papers contained 14,614 references, 1792 Keywords Plus, and 907 Author’s Keywords. There were 1273 authors involved, with 12 authors of single-author papers. International collaborations accounted for 23.31% of the collaborations. The papers comprised 175 articles, 2 books, 21 book chapters, 28 conference papers, 2 conference reviews, 2 errata, and 36 reviews. This study provides a comprehensive view of the scientific production in this field of study, allowing the identification of patterns and trends in the scientific literature. The results highlight the importance of dragon fruit in the food industry and underscore the need for future research in this field.

Emergent Patterns, Collaborative Networks and Thematic Evolution on Black Stain and Dental Caries: A Scientometric Study.

To conduct a scientometric analysis on black stains, and dental caries, with a focus on identifying emergent patterns, collaborative networks, and thematic evolution. A retrospective, descriptive, observational study was conducted using a scientometric approach. The Scopus database was utilized for literature search, selecting articles published between 1976 and 2023. The literature search was carried out on February 8, 2024, using AND and OR Boolean operators which were adapted to the search strategy. Finally, SciVal used different scientometric indicators such as "Scholarly Output", "Views Count", "Field-Weighted Citation Impact" and the "Citation Count". A total of 13 documents from 10 different sources were analyzed, covering a period from 1976 to 2023. Despite an annual growth rate of 0%, each document has an average of 21.08 citations, indicating their relevance in the field. The documents have an average age of 12.9 years and contain 336 references. A total of 143 additional keywords and 26 author keywords were identified. The documents were written by 62 different authors, with an average of 5 coauthors per document and 30.77% international coauthorships. The results indicate a significant relevance of the documents in the field, a notable collaboration among authors, and a significant thematic evolution in the research topics. The mentioned institutions and sources produced documents with notable results, indicating a significant interest and impact in the field. This study provides a detailed view of the trends and patterns in the research of dental caries and black stains. The findings can assist dental health professionals in better understanding the prevalence and impact of these conditions. Furthermore, it can guide future research and treatment strategies in this field. How to cite this article: Mayta-Tovalino F, Espinoza-Carhuancho F, Reyes-Carmona J, et al. Emergent Patterns, Collaborative Networks and Thematic Evolution on Black Stain and Dental Caries: A Scientometric Study. J Contemp Dent Pract 2024;25(4):326-330.

Scientometric Analysis of the World Scientific Production on Augmented and Virtual Reality in Dental Education.

The aim of this study was to perform a comprehensive bibliometric analysis of virtual reality (VR) and augmented reality (AR) applications in dental education. A cross-sectional research was carried out using a bibliometric methodology. This process entailed the assessment of metadata from scientific publications that are catalogued in the Scopus database, covering the period from January 2018 to August 2023. A variety of indicators were utilized to scrutinize scientific production and dissemination within the academic community. These encompassed elements such as the author, the publication itself, the number of citations, institutional and collaborative affiliations, geographical location, journal quartile ranking, h-index, Source Normalized Impact per Paper (SNIP), Field-Weighted Citation Impact (FWCI), SCImago Journal Rank (SJR), and the CiteScore. Several institutions from different countries and their academic output were found. Beihang University stands out with 16 scholarly articles, followed by Stanford University with 16 articles and 170 citations. The Q1 quartile has experienced a steady increase, reaching 87 scientific articles. The top 10 authors in scientific production on augmented and VR in dentistry include Joe Amal Cecil, Avinash Gupta, and Miguel A Pirela-Cruz. In terms of co-authorship by country, the United States, Germany, and China are the most predominant in the clusters represented. However, other clusters also have a significant presence. By analyzing the explored trends and themes of keyword co-occurrence, four main clusters were identified. The yellow cluster contained the largest amount of research with the keyword "virtual reality." In addition, the blue cluster was found to be best related to the green "simulation," purple "virtual reality (VR)," and light blue "human-centered computing" clusters. This study evidenced the availability and quality of the data used for the analysis. Future studies could consider the use of VR systems with integrated eye tracking and compare their effect in dentistry during dental procedures. The clinical importance of this study lies in its potential to improve dental education. The VR and AR can provide dental students with immersive, hands-on learning experiences, which can enhance their understanding and clinical skills. Furthermore, the translational value of this study extends beyond dental education. The insights gained from this research could be applicable to other fields of medical education where hands-on training is crucial. Thus, the findings of this study have the potential to influence the broader landscape of medical education, ultimately leading to improved healthcare outcomes. How to cite this article: Alvitez-Temoche D, Silva H, Aguila ED, et al. Scientometric Analysis of the World Scientific Production on Augmented and Virtual Reality in Dental Education. J Contemp Dent Pract 2024;25(4):358-364.

Overview, Trends and Mapping of The Scientific Production on Childhood Tuberculosis: A Scientometric Study

Background: Tuberculosis in children is highly prevalent and is considered community transmission by an infected adult. This study analyzed childhood tuberculosis literature from 2018 to 2023 on Scopus. Methodology: The study was an observational, retrospective design with a bibliometric approach focusing on the scientific production on childhood tuberculosis. A trend analysis and mapping of the literature published in Scopus was performed. The following selection criteria were applied: All types of papers published in Scopus during the study period were included. Papers published between 2018 and 2023 were included. Papers had to be focused on childhood tuberculosis. Results: Antoni Diez Noguera-Julián from SJD Barcelona Children’s Hospital had a field-weighted citation impact of 10.89. Anneke Catharina Hesseling and James Alexander Seddon had the highest output. The University of Melbourne and the University of Barcelona had high field-weighted citation impacts. Despite the United States’ high production, Spain and Australia showed significant influence. The “International Journal of Tuberculosis and Lung Disease” led in production. Conclusions: A bibliometric study on childhood tuberculosis literature from 2018-2023 highlighted Antoni Diez Noguera-Julián’s significant citation impact and the high output of Anneke Catharina Hesseling and James Alexander Seddon. Despite the U.S.'s high production, Spain and Australia showed significant influence.

Assessing the impact of Canadian primary care research and researchers: Citation analysis.

To describe the citation impact and characteristics of Canadian primary care researchers and research publications. Citation analysis. Canada. A total of 266 established Canadian primary care researchers. The 50 most cited primary care researchers in Canada were identified by analyzing data from the Scopus database. Various parameters, including the number of publications and citations, research themes, Scopus h index, content analysis, journal impact factors, and field-weighted citation impact for their publications, were assessed. Information about the characteristics of these researchers was collected using the Google search engine. On average, the 50 most cited primary care researchers produced 51.1 first-author publications (range 13 to 249) and were cited 1864.32 times (range 796 to 9081) over 29 years. Twenty-seven publications were cited more than 500 times. More than half of the researchers were men (60%). Most were clinician scientists (86%) with a primary academic appointment in family medicine (86%) and were affiliated with 5 universities (74%). Career duration was moderately associated with the number of first-author publications (0.35; P=.013). Most research focused on family practice, while some addressed health and health care issues (eg, continuing professional education, pharmaceutical policy). Canada is home to a cadre of primary care researchers who are highly cited in the medical literature, suggesting that their work is of high quality and relevance. Building on this foundation, further investments in primary care research could accelerate needed improvements in Canadian primary care policy and practice.

An Approach to Evaluate the Costs and Outputs of Academic Biobanks.

Academic biobanks commonly report sustainability challenges, which may be exacerbated by a lack of information on biobank value. To better understand the costs and supported outputs that contribute to biobank value, we developed a systematic, generalizable methodology to determine biobank inputs and publications arising from biobank-supported research. We then tested this in a small cohort (n = 12) of academic cancer biobanks in New South Wales, Australia. A proforma was developed to capture monetary and in-kind biobank costing data from biobank managers and publicly available sources. Participating biobanks were grouped and compared according to the following two classifications: open- versus restricted-access and high versus low total annual costs. Our methodology provides a feasible approach for capturing comprehensive costing data for a defined period. Characterization of biobanks using this approach showed that median total costs, as well as median staffing and in-kind costs, were comparable for open- and restricted-access biobanks, as were the quantity and journal impact metrics of supported publications. High- and low-cost biobanks supported similar median numbers of publications; however, high-cost biobanks supported publications with higher median journal impact factor and Altmetric scores. Overall, 9 of 10 biobanks had higher Field-Weighted Citation Impact scores than the global average for similar publications. This is the first tested, generalizable approach to analyze the costs and publications arising from biobank-supported research. By determining explicit cost and output data, academic biobanks, funders, and policymakers can engage in or support informed redirection of resourcing and/or benchmark setting with the aim of improving biobank support of research.

Auditing the Representation of Females Versus Males in Heat Adaptation Research.

The aim of this audit was to quantify female representation in research on heat adaptation. Using a standardized audit tool, the PubMed database was searched for heat adaptation literature from inception to February 2023. Studies were included if they investigated heat adaptation among female and male adults (≥18-50years) who were free from noncommunicable diseases, with heat adaptation the primary or secondary outcome of interest. The number and sex of participants, athletic caliber, menstrual status, research theme, journal impact factor, Altmetric score, Field-Weighted Citation Impact, and type of heat exposure were extracted. A total of 477 studies were identified in this audit, including 7,707 participants with ∼13% of these being female. Most studies investigated male-only cohorts (∼74%, n = 5,672 males), with ∼5% (n = 360 females) including female-only cohorts. Of the 126 studies that included females, only 10% provided some evidence of appropriate methodological control to account for ovarian hormone status, with no study meeting best-practice recommendations. Of the included female participants, 40% were able to be classified to an athletic caliber, with 67% of these being allocated to Tier 2 (i.e.,trained/developmental) or below. Exercise heat acclimation was the dominant method of heat exposure (437 interventions), with 21 studies investigating sex differences in exercise heat acclimation interventions. We recommend that future research on heat adaptation in female participants use methodological approaches that consider the potential impact of sexual dimorphism on study outcomes to provide evidence-based guidelines for female athletes preparing for exercise or competition in hot conditions.

A bibliometric analysis of the quantitative schema therapy literature.

The evidence base for schema therapy has evolved significantly since it was first developed by Jeffrey Young in the 1990s. The aim of this bibliometric analysis was to summarize the trends and characteristics of the quantitative literature on schema therapy. PsycINFO, PubMed and CINAHL Complete databases were last searched on 1 June 2023 following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 statement to identify peer-reviewed journal articles written in English that reported on original quantitative research on schema therapy or schema therapy constructs. NVivo was used to complete a descriptive analysis of the bibliographic, sample and study characteristics, and a coding framework was applied to capture the aspect of the schema therapy model that was the focus of each study, as well as the study context (e.g., the population or outcomes under investigation). SciVal was used to complete citations and authorship analyses. VOSviewer was used to examine co-authorship networks. A total of 704 quantitative studies on schema therapy were published by 483 unique first authors between 1994 and mid-2023. Studies predominantly used correlational designs with small samples (Mdn N = 153) of mostly females aged 18 years or older. The articles tended to focus on early maladaptive schemas, rather than schema domains or schema modes. Schema therapy and its concepts were most frequently studied in the context of depression and personality disorders. SciVal analyses indicated that, on average, articles were cited 27 times, with a Field Weighted Citation Impact of 1.02. Schema therapy research output appears to have slowed in recent years and several critical research gaps were evident. Areas of high priority for future research include schema modes and coping responses, and the use of developmental and longitudinal designs to evaluate several key causal assumptions in the theory underpinning schema therapy.

Scholarly Output on Computer Networks and Communication: A Ten-Year Bibliometric Analysis in Scopus (2013-2022)

Introduction: bibliometrics measure the production and dissemination of scholarly scientific communication. It has been applied to analyze trends and research output in computer networking and communication. Objective: to examine the global academic publications on computer networks and communications within the Scopus database during the timeframe 2013-2022. Method: a descriptive observational bibliometric study was undertaken. Through the utilization of SciVal (Scopus), 1 260 446 documents were identified. The following variables were studied: number of documents (Ndoc), year of publication, annual variation rate (AVR) of the scholarly output, number of citations (Ncit), field-weighted citation impact (FWCI), type of document, author, institution, country, source, type of collaboration, subject area, and keyphrases. All data were sourced from SciVal. Results: a steady increase in global scientific production was observed, with a slight decline in 2020. The five-year period 2016-2020 concentrated the highest Ncit, but the highest Ncit per document, FWCI and top 1 % most cited documents corresponded to 2013. The scholarly output studied mainly consisted of conference papers (72,9 %). Zhu Han, the French National Centre for Scientific Research (CNRS), the United States and ACM International Conference Proceeding Series were, respectively, the most active author, institution, country, and source. More than 90 % of the documents had some form of collaboration. Computer Science and Engineering were the most recurrent subject areas. Conclusions: the study highlights a consistent global increase in scientific production, with distinct variations in citation metrics across years. The scholarly output was diverse in terms of document type. Collaboration, particularly international, played a pivotal role.

Ranking resilience: assessing the impact of scientific performance and the expansion of the Times Higher Education Word University Rankings on the position of Czech, Hungarian, Polish, and Slovak universities

University rankings are gaining importance worldwide. While the top-ranked universities are the subject of numerous academic publications, very little literature is available on universities in the lower two-thirds of the ranking list. In this study, we analysed the sensitivity of year to year changes in position in the Times Higher Education World University Rankings (THE) of universities from the Czech Republic, Hungary, Poland, and Slovakia using hypothetical scenarios of potential changes in their research outputs. A regression model was developed that quantifies the effect of the inclusion of institutions that are new to ranking as well as dropouts on the ranking list. We also developed a method to allow customized sensitivity analysis of the subsequent year's rank from an institution's projected research output, given its current rank and research output, assuming that other ranking indicators remain unchanged over 1–2 years. It should be noted that most universities in the region have ranked below 800, and while research output has been increasing, it was observed that ranks worsened for most universities from these four countries. The Field-Weighted Citation Impact and the total volume of publications had the highest effect on rankings, while the proportion of Scimago Q1 publications did not have a consistent effect on the projected next year's ranks. In most universities, the growth in research performance indicators were below the level that would be required to offset the rank changes due to the inclusion of new entrants in ranking. The findings of this research suggest that universities have to consider complex strategies to improve their ranking focusing on other activities than research such as reputation, internationalization, or industry income. With due caution, our results might be generalized to most of the universities below 800 in the THE. The rank prediction tool presented in this article is available online at https://hecon.uni-obuda.hu/en/rank-calculator/.

Does Quality Matter? Quality Assurance in Research for the Chilean Higher Education System

This study analyzes the research quality assurance processes in Chilean universities. Data from 29 universities accredited by the National Accreditation Commission were collected. The relationship between institutional accreditation and research performance was analyzed using length in years of institutional accreditation and eight research metrics used as the indicators of quantity, quality, and impact of a university’s outputs at an international level. The results showed that quality assurance in research of Chilean universities is mainly associated with quantity and not with the quality and impact of academic publications. There was also no relationship between the number of publications and their quality, even finding cases with negative correlations. In addition to the above, the relationship between international metrics to evaluate research performance (i.e., international collaboration, field-weighted citation impact, and output in the top 10% citation percentiles) showed the existence of three clusters of heterogeneous composition regarding the distribution of universities with different years of institutional accreditation. These findings call for a new focus on improving regulatory processes to evaluate research performance and adequately promote institutions’ development and the effectiveness of their mission.

Vegetation Classification and Survey is performing well

On the occasion of the completion of the fourth volume of Vegetation Classification and Survey (VCS), we have analysed the performance of the journal since its inception. The number of papers and pages show a moderate increase over the years. VCS has been included in the Scopus database for more than a year and received its first CiteScore of 2.0 in summer 2023 but is not yet included in the Web of Science Core Edition. We therefore used data from the Scopus database to compare the citation impact of articles in VCS with that of 29 other ecological journals. By calculating normalized citation rates per journal and publication year, we found that VCS started at the bottom of the rankings in the first two years (28th out of 30) but improved to 26th in 2022 and 14th in 2023. Together with the known time lag and the strong positive relationships between the different citation metrics, this allows a projection of the future development of the CiteScores and, after inclusion in the Web of Science, the Journal Impact Factor (JIF). Using the Field-Weighted Citation Impact (FWCI) from the Scopus database, we identified the top 12 out of 95 VCS articles published in the first four years that received more citations than expected for their age and field. We also present the four Editors’ Choice papers of 2023, among which Strohbach and Strohbach (2023; Vegetation Classification and Survey 4: 241–284) received the Editors’ Award in 2023. We conclude that VCS is on the right track, supported by the fact that in 2024 most authors will still be charged no or very low article processing charges (APCs). Abbreviations: APC = article processing charge; IAVS = International Association for Vegetation Science; JIF = Journal Impact Factor; OA = open access; VCS = Vegetation Classification and Survey; WoS = Web of Science Core Edition.

Exploring the Scientific Literature Between Ultraprocessed Foods and Cancer: A Scientometric Mapping.

Objective: The objective of the study is to explore the scientific literature between ultraprocessed foods (UPFs) and cancer using a scientometric mapping. Materials and Methods: A Scopus search was conducted on February 4, 2024, limited to papers published between 2018 and 2023. We found 662 articles, 189 reviews, 68 book chapters, 13 conference papers, and 9 notes. The whole analysis included the evaluation of scholarly output by country/region, the number of scholarly papers produced (scholarly output), the number of views (view count), the field-weighted citation impact (FWCI). Results: In the analysis conducted for the period 2018-2023, a dataset was examined where the annual growth rate was 5.96%, indicating a sustained expansion of the literature. The average number of citations per paper was 18.56, underlining the impact and relevance of the publications. Sixty-six single-authored papers were identified, and international collaborations accounted for 27.23% of the collaborative efforts. The most prominent authors were Inge Huybrechts, Marc J.R. Gunter, and Edward Luciano Giovannucci. In terms of impact and visibility, Harvard University leads with 52 contributions and a field-weighted impact of 3.39. Conclusions: The literature in the field of UPFs and cancer has experienced a sustained expansion. The scientometric indicators reveal a high activity of recent academic contributions with significant impact.

The South-South Dimension in International Research Collaboration.

In this paper, we looked at the collaboration publishing patterns for groups of Global South countries (Latin America, Africa, ASEAN, Asian, BRICS), as well as publishing parameters. We looked at financing and the relationships between these groups and the Global North. Data from 2002 to 2021 was collected from InCites ® (Web of Science, Clarivate Analytics) and SciVal® (Scopus Elsevier). The impact was lower for BRICS, while Latin America and Asean countries tended to have a higher Field Weighted Citation Impact. Good Health and well-being (SDG 3) dominates South-South Collaborations. Asian countries showed a higher percentage of Affordable and Clean Energy (SDG7), while Africa and Latin America had a higher rate of Zero Hunger (SDG1). Each region shows different production profiles, but collaboration with the Global North is necessary for all regions. Intra-regional shows a lower impact than inter-regional financing, calling attention to the increasing influence of China in all regions, except for Latin America. The data analysed can be used for orienting South-South scientific Collaboration programs, focusing on pre-existent synergies and on where policy changes and results can be maximised.

Productivity and Impact of the Scientific Production on Human-Computer Interaction in Scopus from 2018 to 2022

Introduction: Bibliometrics plays a crucial role in scientific research by providing valuable insights and guiding future research endeavors.Objective: To assess the productivity and impact of the worldwide scientific production on HCI in Scopus (2018-2022).Method: A descriptive observational bibliometric study of scientific production on HCI in Scopus (2018-2022) was conducted. A population of 178,914 documents in the “Human-Computer Interaction” research area was identified using SciVal. All data were extracted from SciVal. IBM SPSS Statistics 27 was used to determine Pearson's correlation coefficients, with statistical significance for p &lt; 0.05.Results: The number of documents (Ndoc) and field-weighted citation impact (FWCI) showed a quantitative increase during the period studied. The highest Ncit corresponded to the oldest documents. Conference papers and articles were the main types of documents. ACM International Conference Proceeding Series led the list of sources in both Ndoc and Ncit. The highest FWCI corresponded to Computers in Human Behavior. A positive and statistically significant correlation (r = 0.494, p &lt; 0.001) was found between the authors’ Ndoc and Ncit and between the countries’ Ndoc and Ncit (r = 0.967, p &lt; 0.001). China was the most productive country while the United States led in terms of Ncit and FWCI. International collaboration was the most common type of collaboration.Conclusions: The examination of the scientific production revealed a trend characterized by quantitative expansion. This, coupled with impact indicators reliant on citations, substantiates the prominence of the investigated research domain

Publication Activity of Public Higher Education Institutions in Poland Corresponding to the Idea of Sustainable Energy Development – Results of a Cluster Analysis

Abstract Objective The aim of the article is to present the involvement of public Higher Education Institutions in Poland in popularizing the idea of sustainable development within the framework of their publishing activities. Methodology In this study, agglomerative clustering approach, which is a representative of the hierarchical method, was used. The distance between selected public Higher Education Institutions in Poland was determined based on the Squared Euclidean Distance. In turn, to estimate the distance between clusters, the Ward method was used. The study used three parameters, constructed from data taken from SciVal: (1) total number of publications, (2) citation count, and (3) field-weighted citation impact. Findings Three groups of Polish public HEIs were distinguished as a result of the cluster analysis that was performed (based on: the total number of publications, the citation count, and the field-weighted citation impact). The most publication-productive were seven technical universities, i.e., Warsaw University of Technology, Gdansk University of Technology, Silesian University of Technology, AGH University of Science and Technology, Lodz University of Technology, Poznan University of Technology, and Wroclaw University of Science and Technology. The publications prepared by the employees of the universities of technology were also characterized by the highest number of citations. Value Added This article is one of the first to present (in quantitative terms) the involvement of universities in popularizing sustainable energy development concept. The methodology used in it can be applied to the other Sustainable Development Goals. Recommendations Given the increasing importance of the concept of sustainability in the functioning of universities, it seems necessary to create tools to measure the degree of their involvement in popularizing this idea. Among other things, universities are obliged to share their knowledge in this area. Bibliometric data provided by the SciVal system may be helpful in this regard. It is necessary to conduct research taking into account both domestic and foreign universities.

Scientometric analysis on the use of ChatGPT, artificial intelligence, or intelligent conversational agent in the role of medical training

IntroductionIn recent times, there has been a noticeable surge in the usage of artificial intelligence, including ChatGPT and other types, in the field of health sciences education. In this regard, an exploratory bibliometric study was carried out to examine the utilization of smart conversational agents, ChatGPT, and artificial intelligence bots in medical education. MethodsA retrospective, observational, cross-sectional bibliometric analysis was employed to assess the scientific publications listed in Scopus. This study was conducted on March 11, 2023 in search for information in Scopus. A total of 220 relevant documents were identified that were available in the Scopus database during the period between 2017 and 2022. Elsevier's SciVal software was used. Subsequently, statistical tables and graphs were prepared for presentation in Bibliometrix software. ResultsAmong the authors, Timothy W. Bickmore, from the United States, has the highest number of publications (10) and citations received (172), and an h-index of 45, suggesting a significant influence in the field of study. The subcategory with the highest academic output is Health Informatics with 133 publications, while Geriatrics and Gerontology has the least with only 3. Most of the analyzed publications (44.2%) originated from collaborations within the same country. Notably, the Swiss Federal Institute of Technology Zurich and Imperial College London stood out with 12 publications each that received over 200 citations indicating their significant impact on their respective fields. Despite having the highest number of academic publications (15), Brazil had a relatively low field-weighted citation impact (0.64) and received the lowest number of citations (81). A clustering analysis was performed on a sample of 10 concepts using 2 dimensions. The results indicated that all terms were part of the same cluster. Notably, the terms 'conversational agents', 'chatbots', 'conversational agent', and 'chatbot' were closely related. ConclusionsIt was found that the American Bickmore, Timothy W., led the top-10 researchers, and that the Health Informatics subject area was the most predominant. However, Brazil and Germany were the leading countries in terms of research output that was mainly published in high impact journals (Q1).

Bibliometric Analysis of the Worldwide Scholarly Output on Artificial Intelligence in Scopus

Introduction: the use of bibliometric analyses is useful to gain insight into the development, trends, and impact of scholarly output on artificial intelligence (AI) in several fields. Objective: to characterize the worldwide scholarly output on AI in Scopus in the period 2013-2022. Method: a descriptive observational bibliometric study was carried out. The study population consisted of the 776,961 documents identified using SciVal. The following variables were studied: number of documents (Ndoc), year of publication, annual variation rate (AVR) of the scholarly output, type of document, source, number of citations (Ncit), field-weighted citation impact (FWCI), author(s), author-level h-index, institution, country, type of collaboration, and keyphrases. Results: the scholarly output showed a steady quantitative increase during the period studied, with a positive AVR. Conference papers (68,5 %) and articles (26,5 %) were the main types of documents. Neurocomputing led the list of sources in both Ndoc (12,989) and Ncit (351,837). The highest FWCI (3.02) corresponded to Proceedings – IEEE International Conference on Robotics and Automation. China, the United States and India were the countries with the highest Ndoc by year of publication. Institutional collaboration was the most common (46,7 %) type of collaboration. The most prominent keyphrases were: Robot, Artificial Intelligence, Deep Learning, Convolutional Neural Network and Robotics. Conclusions: the scholarly production analyzed is characterized by its constant quantitative growth and is mostly represented by conference papers. Productivity and impact indicators based on citations show remarkable results. The science produced was led by China, and scientific collaboration played a relevant role.

Neurological research in Italy from 2020 to 2023.

To assess the state of neurological scientific research in Italy in the time interval 2020-2023. Elsevier's modular integrated platform "SciVal" was used to analyze bibliometric research products starting from scientific production data uploaded onto Scopus. We considered the research area "Neurology" in the 01/01/2020-14/06/2023 time interval, and the following variables were extracted: number of published studies, number of citations, Field-Weighted Citation Impact, and percentage of international collaborations. The contribution of Italian scientists to the neurological research was compared to that of the other nations. Research identified 90,633 scientific papers in the neurological area worldwide, with a total of 472,750 citations. The products assigned to Italian groups were 6670 (53,587 citations, Field-Weighted Citation Impact 1.68, 41% international collaborations). According to the present study, Italian neurological research 2020 to 2023 ranks fifth globally and third in Europe.