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.

A five-decade review of gender-based occupational segregation: A bibliometric study of influential authors, institutions, and research clusters

2021 ◽  
Vol 30 (2) ◽  
pp. 117-128
Author(s):  
Leena Sachdeva ◽  
Kumkum Bharti ◽  
Mridul Maheshwari
Keyword(s):  
Wage Differential ◽  
Web Of Science ◽  
Occupational Segregation ◽  
Extensive Field ◽  
Organisational Structures ◽  
Gender Based ◽  
Changes Over Time ◽  
Over Time ◽  
The Web

Despite the proliferation of occupational segregation research, only a limited amount has explored it from a gender perspective. The attention that has been given is widely scattered and requires an analysis to identify the major works undertaken and the changes over time. This study aimed to examine and assimilate articles published on gender-based occupational segregation through a bibliometric analysis. The study examined 512 articles published from the early 1970s to 2020 that were retrieved from the Web of Science database. The findings suggest that gender and occupational segregation remain an extensive field of research, although this research comes mainly from North American and European countries. The low representation from developing countries indicates that more research is needed based on these different socio-cultural settings. This study identified three dominant research clusters, namely gendered organisational structures and systems, measurement of occupational segregation, and wage differential. Studies also covered areas including conceptualization, LGBTQ issues, and the role of legislation and institutions in reducing workplace inequalities; thus, providing a direction for scholars and practitioners.

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 A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020

2021 ◽  
Vol 18 (3) ◽  
pp. 952 ◽  
Author(s):  
Leonardo B. Furstenau ◽  
Bruna Rabaioli ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  
Keyword(s):  
Decision Making ◽  
Network Analysis ◽  
Web Of Science ◽  
Future Research ◽  
Future Trends ◽  
Damage Prevention ◽  
Over Time ◽  
The Web

The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. The thematic evolution. structure presented two thematic areas: “Damage prevention and containment of COVID-19” and “Comorbidities and diseases caused by COVID-19”, which provides new perspectives and futures trends of the field. These results will form the basis for future research and guide decision-making in coronavirus focused on COVID-19 research and treatments.

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.

Prediction of Rising Venues in Citation Networks

2017 ◽  
Vol 21 (4) ◽  
pp. 650-658 ◽  
Author(s):  
Muhammad Azam Zia ◽  
◽  
Zhongbao Zhang ◽  
Guangda Li ◽  
Haseeb Ahmad ◽  
...  
Keyword(s):  
Machine Learning ◽  
Continuous Improvement ◽  
Citation Count ◽  
Citation Network ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Citation Networks ◽  
Network Support ◽  
Core Issue ◽  
Over Time

Prediction of rising stars has become a core issue in data mining and social networks. Prediction of rising venues could unveil rapidly emerging research venues in citation network. The aim of this research is to predict the rising venues. First, we presented five effective prediction features along with their mathematical formulations for extracting rising venues. The underlying features are composed by incorporating the citation count, publications, cited to and cited by information at venue level. For prediction purpose, we employ four machine learning algorithms including Bayesian Network, Support Vector Machine, Multilayer Perceptron and Random Forest. Experimental results demonstrate that proposed features set are effective for rising venues prediction. Our empirical analysis spotlights the rising venues that demonstrate the continuous improvement over time and finally become the leading scientific venues.

What Researchers are Currently Saying about Ontologies: A Review of Recent Web of Science Articles

2020 ◽  
Vol 47 (3) ◽  
pp. 199-219
Author(s):  
Luís Miguel Oliveira Machado ◽  
Maurício Barcellos Almeida ◽  
Renato Rocha Souza
Keyword(s):  
Information Systems ◽  
Computer Science ◽  
Exploratory Study ◽  
Web Of Science ◽  
Mixed Methodology ◽  
Extensive Literature ◽  
Fields Of Study ◽  
Current Prevalence ◽  
The Web

Traditionally connected to philosophy, the term ontology is increasingly related to information systems areas. Some researchers consider the approaches of the two disciplinary contexts to be completely different. Others consider that, although different, they should talk to each other, as both seek to answer similar questions. With the extensive literature on this topic, we intend to contribute to the understanding of the use of the term ontology in current research and which references support this use. An exploratory study was developed with a mixed methodology and a sample collected from the Web of Science of articles published in 2018. The results show the current prevalence of computer science in studies related to ontology and also of Gruber's view suggesting ontology as kind of conceptualization, a dominant view in that field. Some researchers, particularly in the field of biomedicine, do not adhere to this dominant view but to another one that seems closer to ontological study in the philosophical context. The term ontology, in the context of information systems, appears to be consolidating with a meaning different from the original, presenting traces of the process of “metaphorization” in the transfer of the term between the two fields of study.

scholarly journals Computer science in Eastern Europe 1989-2014: a bibliometric study

2015 ◽  
Vol 67 (5) ◽  
pp. 526-541 ◽  
Author(s):  
Dalibor Fiala ◽  
Peter Willett
Keyword(s):  
Computer Science ◽  
Web Of Science ◽  
Science Research ◽  
Bibliometric Study ◽  
Eastern European ◽  
Content Type ◽  
Publication Rates ◽  
Computer Science Research ◽  
The Individual ◽  
The Web

Purpose – The purpose of this paper is to study the development of research in computer science in 15 Eastern European countries following the breaching of the Berlin Wall in 1989. Design/methodology/approach – The authors conducted a bibliometric analysis of 82,121 computer science publications indexed in the Web of Science database and investigated publication, citation, and collaboration patterns of the individual countries. Findings – Poland has been the most productive country, followed by Russia, the Czech Republic, Romania, Hungary, and Slovenia. Publication rates have increased substantially over the period, but this has not been accompanied by a corresponding increase in the quality of the publications. Hungary and Slovenia are the most influential countries in terms of citations per paper. Artificial Intelligence is the most frequently occurring computer science subject category, with Interdisciplinary Applications the category with the greatest impact. USA, Germany, UK, France, and Canada are the most frequently collaborating western nations, and papers published in collaboration with US authors accrue the most citations. Originality/value – This is the first ever bibliometric study of the whole post-communist Eastern European computer science research as indexed in the Web of Science.

scholarly journals Twenty-five Years of Journal of Universal Computer Science: A Bibliometric Overview

2021 ◽  
Vol 27 (1) ◽  
pp. 3-39
Author(s):  
Nelson Baloian ◽  
José A. Pino ◽  
Gustavo Zurita ◽  
Valeria Lobos-Ossandón ◽  
Hermann Maurer
Keyword(s):  
Open Access ◽  
Computer Science ◽  
Core Collection ◽  
Web Of Science ◽  
Scientific Journal ◽  
Vos Viewer ◽  
Wide Range ◽  
The World ◽  
International Diversity ◽  
The Web

The Journal of Universal Computer Science is a monthly peer-reviewed open-access scientific journal covering all aspects of computer science, launched in 1994, so becoming twenty-five years old in 2019. In order to celebrate its anniversary, this study presents a bibliometric overview of the leading publication and citation trends occurring in the journal. The aim of the work is to identify the most relevant authors, institutions, countries, and analyze their evolution through time. The article uses the Web of Science Core Collection citations and the ACM Computing Classification System in order to search for the bibliographic information. Our study also develops a graphical mapping of the bibliometric material by using the visualization of similarities (VOS) viewer. With this software, the work analyzes bibliographic coupling, citation and co-citation analysis, co-authorship, and co-occurrence of keywords. The results underline the significant growth of the journal through time and its international diversity having publications from countries all over the world and covering a wide range of categories which confirms the “universal” character of the journal.

Gamification and Its Application in the Social Environment

2020 ◽  
Vol 13 (3) ◽  
pp. 58-79
Author(s):  
Staling Cordero-Brito ◽  
Juanjo Mena
Keyword(s):  
Social Environment ◽  
Web Of Science ◽  
The United States ◽  
Scientific Publications ◽  
Scientific Databases ◽  
The Social ◽  
Motivation And Engagement ◽  
Main Components ◽  
Over Time ◽  
The Web

This study sets out to conduct a systematic review of the emergence and evolution of gamification in the social environment, its main components, and its application as a learning tool through the motivation and engagement it generates in people. The results were obtained by consulting two major scientific databases, namely, Scopus and the Web of Science, which provided 136 articles published on the social environment from 2011 through to mid-2016 using the term gamification. The results of this study reveal how over time gamification has been gaining importance in the social environment through the use of its components. The highest number of scientific publications come from the United States and Spain. In addition, the use of gaming components increases motivation and engagement. It shows how gamification uses (individual or group) rewards according to the context to achieve the proposed objectives, being successfully implemented in education, health, services, and social learning.

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