scholarly journals Current State and Future Trends: A Citation Network Analysis of the Academic Performance Field

2020 ◽  
Vol 17 (15) ◽  
pp. 5352
Author(s):  
Clara Martinez-Perez ◽  
Cristina Alvarez-Peregrina ◽  
Cesar Villa-Collar ◽  
Miguel Ángel Sánchez-Tena
Keyword(s):  
Academic Performance ◽  
Web Of Science ◽  
Citation Index ◽  
Citation Network ◽  
Time Interval ◽  
Research Areas ◽  
Current State ◽  
Citation Network Analysis ◽  
Number Of Publications ◽  
Educational Field

Background: In recent years, due to its complexity and relevance, academic performance has become a controversial research topic within the health and educational field. The main purposes of this study were to analyze the links between publications and authors via citation networks, to identify the different research areas and to determine the most cited publications. Methods: The publication search was performed through the Web of Science database, using the term “Academic Performance” for a time interval from 1952 to 2019. The software used to analyze the publications was the Citation Network Explorer. Results: We found a total of 16,157 publications with 35,213 citations generated in the network, and 2018 had the highest number of publications of any year. The most cited publication was published in 2012 by Richardson et al. with a citation index score of 352. By using the clustering function, we found nine groups related to different areas of research in this field: health, psychology, psychosociology, demography, physical activity, sleep patterns, vision, economy, and delinquency. Conclusions: The citation network showed the main publications dealing with the different factors that affect academic performance, and it was determined that psychological and psychosocial factors were the most relevant.

scholarly journals Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19)

2020 ◽  
Vol 17 (20) ◽  
pp. 7690 ◽  
Author(s):  
Clara Martinez-Perez ◽  
Cristina Alvarez-Peregrina ◽  
Cesar Villa-Collar ◽  
Miguel Ángel Sánchez-Tena
Keyword(s):  
Web Of Science ◽  
Citation Network ◽  
The United States ◽  
Disease Spread ◽  
The Novel ◽  
Research Areas ◽  
Citation Network Analysis ◽  
Number Of Publications ◽  
Novel Coronavirus ◽  
The Relationship

Background: The first outbreaks of the new coronavirus disease, named COVID-19, occurred at the end of December 2019. This disease spread quickly around the world, with the United States, Brazil and Mexico being the countries the most severely affected. This study aims to analyze the relationship between different publications and their authors through citation networks, as well as to identify the research areas and determine which publication has been the most cited. Methods: The search for publications was carried out through the Web of Science database using terms such as “COVID-19” and “SARS-CoV-2” for the period between January and July 2020. The Citation Network Explorer software was used for publication analysis. Results: A total of 14,335 publications were found with 42,374 citations generated in the network, with June being the month with the largest number of publications. The most cited publication was “Clinical Characteristics of Coronavirus Disease 2019 in China” by Guan et al., published in April 2020. Nine groups comprising different research areas in this field, including clinical course, psychology, treatment and epidemiology, were found using the clustering functionality. Conclusions: The citation network offers an objective and comprehensive analysis of the main papers on COVID-19 and SARS-CoV-2.

scholarly journals A Bibliometric and Citation Network Analysis of Myopia Genetics

Genes ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 447
Author(s):  
Cristina Alvarez-Peregrina ◽  
Clara Martinez-Perez ◽  
Cesar Villa-Collar ◽  
Miguel Ángel Sánchez-Tena
Keyword(s):  
Web Of Science ◽  
Citation Network ◽  
Susceptibility Loci ◽  
Research Areas ◽  
Genome Wide ◽  
Great Progress ◽  
Citation Network Analysis ◽  
Number Of Publications ◽  
Meta Analyses ◽  
Axial Growth

Background: To aim of the study was describe the growth of publications on genetic myopia and understand the current research landscape through the analysis of citation networks, as well as determining the different research areas and the most cited publications. Methods: The Web of Science database was used to perform the publication search, looking for the terms “genetic*” AND “myopia” within the period between 2009 and October 2020. The CitNetExplorer and CiteSpace software were then used to conduct the publication analysis. To obtain the graphics, the VOSviewer software was used. Results: A total of 721 publications were found with 2999 citations generated within the network. The year 2019 was singled out as a “key year”, taking into account the number of publications that emerged in that year and given that in 2019, 200 loci associated with refractive errors and myopia were found, which is considered to be great progress. The most widely cited publication was “Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia”, an article by Verhoeven et al., which was published in 2013. By using the clustering function, we were able to establish three groups that encompassed the different research areas within this field: heritability rate of myopia and its possible association with environmental factors, retinal syndromes associated with myopia and the genetic factors that control and influence axial growth of the eye. Conclusions: The citation network offers a comprehensive and objective analysis of the main papers that address genetic myopia.

scholarly journals Citations Network Analysis of Vision and Sport

2020 ◽  
Vol 17 (20) ◽  
pp. 7574
Author(s):  
Henrique Nascimento ◽  
Clara Martinez-Perez ◽  
Cristina Alvarez-Peregrina ◽  
Miguel Ángel Sánchez-Tena
Keyword(s):  
Web Of Science ◽  
Citation Network ◽  
Comprehensive Analysis ◽  
Training Methods ◽  
Citation Networks ◽  
Publication Analysis ◽  
Research Areas ◽  
Visual Skills ◽  
Number Of Publications ◽  
Sports Vision

Background: Sports vision is a relatively new specialty, which has attracted particular interest in recent years from trainers and athletes, who are looking at ways of improving their visual skills to attain better performance on the field of play. The objective of this study was to use citation networks to analyze the relationships between the different publications and authors, as well as to identify the different areas of research and determine the most cited publication. Methods: The search for publications was carried out in the Web of Science database, using the terms “sport”, “vision”, and “eye” for the period between 1911 and August 2020. The publication analysis was performed using the Citation Network Explorer and CiteSpace software. Results: In total, 635 publications and 801 citations were found across the network, with 2019 being the year with the highest number of publications. The most cited publication was published in 2002 by Williams et al. By using the clustering functionality, four groups covering the different research areas in this field were found: ocular lesion, visual training methods and efficiency, visual fixation training, and concussions. Conclusions: The citation network offers an objective and comprehensive analysis of the main papers on sports vision.

scholarly journals Small and Medium Entrepreneurship: Bibliometric Analysis

2021 ◽  
pp. 53-60
Author(s):  
Natalia FILIMONOVA ◽  
Svetlana BOLTUNOVA ◽  
Victoria FILIMONOVA
Keyword(s):  
Web Of Science ◽  
Current Knowledge ◽  
Economic Systems ◽  
Time Interval ◽  
Research Topics ◽  
Research Areas ◽  
Research Fronts ◽  
Wide Range ◽  
Current Knowledge Base ◽  
Number Of Publications

Despite the high importance of small business for the development of economic systems, it faces a number of difficulties due to its size. These circumstances have attracted the attention of the scientific community. As the dynamics of the number of publications on the development of small and medium-sized enterprises shows, scientists around the world are interested in a wide range of issues. The purpose of this article was to analyze the evolution of research fronts and identify key research topics, the current knowledge base and influential publications of Russian and foreign scientists. We used the freeware product CiteSpaceV to conduct our research. To analyze the publications, we used the ISI Web of Science Core Collection (WoS) database, the selected time interval was from 1997 to 2020. As a result of this study, eight major clusters in the field of SME development were identified according to foreign publications; only one cluster was identified according to Russian publications. A comparison of research fronts on foreign publications with Russian topics can become the basis for forecasting promising research areas.

scholarly journals Dynamics of the Russian segment of science piblications (based on Web of Science Core Collection and Scopus data)

2021 ◽  
pp. 15-28
Author(s):  
Yu. V. Mokhnacheva ◽  
V. A. Tsvetkova
Keyword(s):  
Social Sciences ◽  
Core Collection ◽  
Web Of Science ◽  
Citation Index ◽  
Research Articles ◽  
Research Areas ◽  
The World ◽  
Humanities And Social Sciences ◽  
Number Of Publications ◽  
Russian Publication

The findings of the study of Russian publications array of 2010-2019 are presented. The dynamics for the ten-year period (2010-2019) is demonstrated. For completeness, two of the most authoritative international polythematic resources, i. e. Web of Science Core Collection (WoS CC) and Scopus, were analyzed in parallel. The dynamics of Russian publications is presented in two versions: all types of publications indexed by the systems, and selected types of publications (research articles, reviews, book chapters, and letters). The positive dynamics of the share of Russian publications within the global array was determined, as well as the increase in Russia’s rating positions in terms of the number of publications in the period 2010-2019, were determined. The publications with Russian participation are represented in all 153 science areas (the WOS CC classifier "Research Areas"), however, the barrier of 1% of the total segment of Russian publications reflected in the WoS CC was cleared just in 42 areas. It is demonstrated that in the recent years, along with the decreasing tendency for the share of publications in physics and chemistry within the Russian publication array, there has been an increase in the rate of publications in the technical, social sciences and the humanities. The Emerging Sources Citation Index (ESCI), a WoS CC member since 2015, promotes intensively the works in the humanities and social sciences to the world publishing space. Despite the decrease in the rate of physics and chemistry in the Russian publication segment, these areas remain the undisputed leaders in the share of publications in WoS CC.

scholarly journals Literature Review on Artificial Intelligence in Journalism: A Bibliometric Analysis of Publications Indexed in the Web of Science and Scopus

2021 ◽  
Vol 10 (4) ◽  
pp. 734-744
Author(s):  
Violetta Zorina ◽  
Elizaveta Osipovskaya
Keyword(s):  
Artificial Intelligence ◽  
Quantitative Research ◽  
Web Of Science ◽  
Empirical Studies ◽  
Academic Literature ◽  
The Past ◽  
Research Areas ◽  
Current State ◽  
Number Of Publications ◽  
The Web

This article reviews the past-to-present academic literature on artificial intelligence (AI) in journalism. Over the past years, these technologies have attracted the sufficient attention of researchers from various fields of scientific study producing a large number of publications. We have reviewed academic articles published between 2015 and 2021 to provide understanding of the current state of the research on AI in various research areas including journalism. The corpus was gathered by searching publications in two international databases, Scopus and the Web of Science (WoS). 70 empirical studies were selected on the basis of applying AI to journalism. Each article was categorized according to the type of database, period of time, the country of publication, the field of study and the frequency of citations. The applied method of quantitative research allows tracking the development of research within six years in the field of automated journalism. Finally, we put forward several proposals for further research in this field.

scholarly journals Impact of COVID-19 at the Ocular Level: A Citation Network Study

2021 ◽  
Vol 10 (7) ◽  
pp. 1340
Author(s):  
Miguel Ángel Sánchez-Tena ◽  
Clara Martinez-Perez ◽  
Cesar Villa-Collar ◽  
Cristina Alvarez-Peregrina
Keyword(s):  
Web Of Science ◽  
Citation Network ◽  
Protective Equipment ◽  
Citation Networks ◽  
Research Areas ◽  
Ocular Manifestations ◽  
Number Of Publications ◽  
The Impact ◽  
The Relationship ◽  
The Web

Background: The main objective of this study was to use citation networks to analyze the relationship between different publications on the impact of COVID-19 at an ocular level and their authors. Furthermore, the different research areas will be identified, and the most cited publication will be determined. Materials and Methods: The publications were searched within the Web of Science database, using “ocular”, “SARS-CoV-2”, “ophthalmology”, “eyesight”, and “COVID-19” as keywords for the period between January 2020 and January 2021. The Citation Network Explorer and the CiteSpace software were used to analyze the different publications. Results: A total of 389 publications with 890 citations generated on the web were found. It must be highlighted that July was the month with the largest number of publications. The most cited ones were “Characteristics of Ocular Findings of Patients with Coronavirus Disease 2019 (COVID-19) in Hubei Province, China” by Wu et al., which was published in May 2020. Three groups covering the different research areas in this field were found using the clustering functions: ocular manifestations, teleophthalmology, and personal protective equipment. Conclusions: The citation network has shown a comprehensive and objective analysis of the main studies on the impact of COVID-19 in ocular disease.

scholarly journals Current State and Future Trends: A Citation Network Analysis of the Orthokeratology Field

2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Miguel Angel Sanchez-Tena ◽  
Cristina Alvarez-Peregrina ◽  
Jose Sanchez-Valverde ◽  
Cesar Villa-Collar
Keyword(s):  
Network Analysis ◽  
Computer Software ◽  
Citation Network ◽  
Research Field ◽  
Point Of View ◽  
Qualitative And Quantitative ◽  
Current State ◽  
Citation Network Analysis ◽  
Objective Representation ◽  
Flow Of Information

Introduction. Citation network analysis is a powerful tool that allows for a visual and objective representation of the past, present, and potential future directions of a research field. The objective of this study is using citation analysis network to analyse the evolution of knowledge in the field of orthokeratology. Materials and Methods. The database used in this citation networks analysis study was Scopus. The descriptor used was “orthokeratology” limited to three fields: title, keywords, and/or abstract, analysing the five most cited authors. Only articles cited at least twenty times were used. The computer software used was UCINET with two types of analysis, qualitative and quantitative. Results. 27 nodes have been included according to the search and inclusion criteria. In qualitative analysis, based on illustrate results, the relationships among nodes and their positions and connections show how the study of Cho et al. in 2005 is clearly positioned as a central cutoff point in the network. Quantitative analysis reveals the normalized value of the sample and shows how the study of Cho et al. in 2005 presents the highest percentage of input connections. Conclusions. This study shows the state of the flow of information in the orthokeratology field by providing links in bibliographic citations from a qualitative and quantitative point of view.

scholarly journals Bibliometric Study of the Comorbidity of Pain and Depression Research

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Xue-Qiang Wang ◽  
Meng-Si Peng ◽  
Lin-Man Weng ◽  
Yi-Li Zheng ◽  
Zhi-Jie Zhang ◽  
...  
Keyword(s):  
Web Of Science ◽  
Science Research ◽  
The United States ◽  
Clinical Neurology ◽  
Bibliometric Method ◽  
Research Areas ◽  
Cooperative Institutions ◽  
Number Of Publications ◽  
General Aspects ◽  
Over Time

Background. Comorbid pain and depression occur with high prevalence in clinical observations, and published academic journals about them have been increasing in number over time. However, few studies used the bibliometric method to analyze the general aspects of scientific researches on the comorbidity of pain and depression. The aim of this study is to systematically provide global scientific research in the comorbidity of pain and depression from 1980 to 2018. Methods. The published papers were searched between 1980 and 2018 in Web of Science. Publications related to comorbid pain and depression research were included. The language was restricted to English, and no species limitations were specified. Results. A total of 2,519 papers met the inclusion criteria in our study. The results revealed that the publications had a significant growth over time in the comorbidity of pain and depression research (P<0.001) by linear regression analyses. The United States had the largest number of publications and citations and the highest value of H-index. According to subject categories of Web of Science, research areas of the 2,519 papers mainly focused on clinical neurology (28.78%), neurosciences (22.9%), and psychiatry (22.23%). In accordance with types of pain, headache (19.09%) was the most popular topic in the included papers on comorbid pain and depression research. Conclusions. The findings provide useful information for pain and depression researchers to detect new areas related to collaborators, cooperative institutions, popular topics, and research frontiers.

scholarly journals Resilience of athletes: a systematic review based on a citation network analysis

2020 ◽  
Vol 20 (3) ◽  
pp. 26-40
Author(s):  
Camila cristina Fonseca bicalho ◽  
Gislane Ferreira de Melo ◽  
Franco Noce
Keyword(s):  
Systematic Review ◽  
Network Analysis ◽  
Web Of Science ◽  
Citation Network ◽  
Theoretical Models ◽  
Sport Performance ◽  
Individual Characteristics ◽  
Psychological Resilience ◽  
Citation Network Analysis ◽  
Academic Publications

The aims of the present study are to understand indicators and the scope of theoretical models adopted to describe athletes’ resilience, as well as to analyze their impact on investigations about such resilience. A search for original academic publications within a 10-year period was conducted in the PubMed / Medline, Web of Science, Taylor and Francis, Lilacs, Scopus, Humam Kinects and Science Direct databases, to substantiate a systematic literature review on athletes’ resilience. Articles were analyzed based on their methodological characteristics and citation network analysis. In total, 47 articles were identified and the most referenced one was Fletcher and Sarkar (2012), which was followed by Galli and Vealey (2008). The Grounded Theory of Psychological Resilience and Optimal Sport Performance by Fletcher and Sarkar (2012) seems to encompass the basic theoretical elementary aspects to better understand athletes’ resilience, so far. To conclude resilience is an on-going dynamic process based on individual characteristics and interactions with the environment.

Sign in / Sign up

Export Citation Format

Share Document