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 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 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 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 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 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 Twenty Years of Entropy Research: A Bibliometric Overview

Entropy ◽  
2019 ◽  
Vol 21 (7) ◽  
pp. 694 ◽  
Author(s):  
Weishu Li ◽  
Yuxiu Zhao ◽  
Qi Wang ◽  
Jian Zhou
Keyword(s):  
Web Of Science ◽  
Research Area ◽  
Multiscale Entropy ◽  
Permutation Entropy ◽  
Citation Networks ◽  
Analysis Method ◽  
Research Areas ◽  
Information Studies ◽  
20Th Anniversary ◽  
Research Domain

Entropy, founded in 1999, is an emerging international journal in the field of entropy and information studies. In the year of 2018, the journal enjoyed its 20th anniversary, and therefore, it is quite reasonable and meaningful to conduct a retrospective as its birthday gift. In accordance with Entropy’s distinctive name and research area, this paper creatively provides a bibliometric analysis method to not only look back at the vicissitude of the entire entropy topic, but also witness the journal’s growth and influence during this process. Based on 123,063 records extracted from the Web of Science, the work in sequence analyzes publication outputs, high-cited literature, and reference co-citation networks, in the aspects of the topic and the journal, respectively. The results indicate that the topic now has become a tremendous research domain and is still roaring ahead with great potentiality, widely researched by different kinds of disciplines. The most significant hotspots so far are suggested as the theoretical or practical innovation of graph entropy, permutation entropy, and pseudo-additive entropy. Furthermore, with the rapid growth in recent years, Entropy has attracted many dominant authors of the topic and experiences a distinctive geographical publication distribution. More importantly, in the midst of the topic, the journal has made enormous contributions to major research areas, particularly being a spear head in the studies of multiscale entropy and permutation entropy.

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.

Loops in publication citation networks

2019 ◽  
Vol 46 (6) ◽  
pp. 837-848 ◽  
Author(s):  
Yi Bu ◽  
Yong Huang ◽  
Wei Lu
Keyword(s):  
Computer Science ◽  
Web Of Science ◽  
Citation Network ◽  
Frequent Patterns ◽  
Citation Networks ◽  
Connected Component ◽  
Strongly Connected ◽  
Changes Over Time ◽  
Over Time ◽  
The Web

Traditionally, publication citation networks are regarded as acyclic, that is, no loops in the network as an earlier published article cannot cite a later published article. However, due to the accessibility of pre-print versions of articles, there might be some loops in a publication citation network. This article presents a descriptive statistic on loops in publication citation networks of computer science and physics by employing a network-based indicator, namely, strongly connected component (SCC). By employing computer science and physics disciplines publications from the Web of Science database as examples, this article examines the count of loops, how the count changes over time and how the count relates to the published year difference between publications within the loop in the citation network. Some common structural patterns are also extracted and analysed; we observe that the two disciplines share the most frequent patterns though there exist some minor differences. Moreover, we find that self-citations in terms of authors, authors’ institutions and journals contribute to the formation of loops in publication citation networks.

scholarly journals BIBLIOMETRIC ANALYSIS OF WASTE MANAGEMENT AND RECYCLING IN TOURISM SCIENCE FROM PAST TO TODAY

2020 ◽  
pp. 220-236
Author(s):  
Tancel Tercan ◽  
Gauhar Ilyasovna Eshenkulova
Keyword(s):  
Social Network ◽  
Waste Management ◽  
Web Of Science ◽  
Citation Network ◽  
Research Area ◽  
Management Research ◽  
Green Hotel ◽  
Author Keywords ◽  
Number Of Publications ◽  
The Web

The main purpose of study is to examine the researches published in the field of waste management and recycling in tourism science at the period of 1980–2019 with bibliometric perspective and to determine the waste management research area trends in this discipline in the last 39 years. In this context, the Web of Science database was searched under the title of waste management and recycling within the scope of ‘hospitality, leisure and tourism’. In the research, number of publications, publication languages, types of publications, journal co-citation network, author co-citation network, document co-citation network and co-occurring author keywords were analyzed. Social network analysis was used to test purposes. According to the results, it can be said that interest in the field in the context of waste management in tourism publications has increased significantly since 2018. Studies are mainly articles. According to the results, it can be said that Gosling is a pioneer in both waste management and recycling in tourism science. If found that the most commonly used keywords in waste management are sustainability, tourism and food waste. It is determined that the most used words in the field of recycling are tourism, heritage and green hotel.

scholarly journals A bibliometric review of cryptocurrencies: how have they grown?

2022 ◽  
Vol 8 (1) ◽  
Author(s):  
Francisco Javier García-Corral ◽  
José Antonio Cordero-García ◽  
Jaime de Pablo-Valenciano ◽  
Juan Uribe-Toril
Keyword(s):  
New Technologies ◽  
Web Of Science ◽  
R Package ◽  
Research Areas ◽  
Blockchain Technology ◽  
Economic Area ◽  
Current Topic ◽  
Bibliometric Review ◽  
Number Of Publications ◽  
The Impact

AbstractWith the development of new technologies, some concepts become relevant in the economic area, as is the case with cryptocurrencies, in general, or Bitcoin and Ethereum, in particular. Due to the impact of these tools, a detailed bibliometric study that allows us to obtain all information about cryptocurrencies must be conducted. This study will help scientific production by specifying the development and lines of related research that have been followed and are currently being followed. We have used Tableau, R (Bibliometrix R Package), and VOSviewer software to analyze the information. These have been combined to create and review unified metadata from the Web of Science (WoS) and Scopus databases. The bibliometric analysis shows 771 articles on the WoS database and 648 articles on Scopus published between 2010 and early 2019. They present the most relevant articles, research areas, countries, institutions, authors, journals, and trends during the last few years. In conclusion, the number of publications has grown in the last 3 years. The analysis shows the evolution of blockchain technology used in this type of cryptocurrency. The review of this period marks a possible end to the historical part of cryptocurrencies, thereby opening the current topic to its multiple applications.

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