scholarly journals Vulnerability studies in the fields of transportation and complex networks: a citation network analysis

2020 ◽  
Author(s):  
Kashin Sugishita ◽  
Yasuo Asakura
Keyword(s):  
Complex Networks ◽  
Web Of Science ◽  
Citation Network ◽  
Interdisciplinary Studies ◽  
Connected Component ◽  
Major Research ◽  
Network Systems ◽  
Main Research ◽  
Citation Network Analysis ◽  
Research Domains

Abstract In recent years, studies on network vulnerability have grown rapidly in the fields of transportation and complex networks. Even though these two fields are closely related, their overall structure is still unclear. In this study, to add clarity comprehensively and objectively, we analyze a citation network consisting of vulnerability studies in these two fields. We collect publication records from an online publication database, the Web of Science, and construct a citation network where nodes and edges represent publications and citation relations, respectively. We analyze the giant weakly connected component consisting of 705 nodes and 4,584 edges. First, we uncover main research domains by detecting communities in the network. Second, we identify major research development over time in the detected communities by applying main path analysis. Third, we quantitatively reveal asymmetric citation patterns between the two fields, which implies that mutual understanding between them is still lacking. Since these two fields deal with the vulnerability of network systems in common, more active interdisciplinary studies should have a great potential to advance both fields in the future.

Textile-based fiber optic sensors for health monitoring: A systematic and citation network analysis review

2021 ◽  
pp. 004051752110362
Author(s):  
Ka-Po Lee ◽  
Joanne Yip ◽  
Kit-Lun Yick ◽  
Chao Lu ◽  
Chris K Lo
Keyword(s):  
Network Analysis ◽  
Fiber Optic ◽  
Vital Signs ◽  
Citation Network ◽  
Fiber Optic Sensors ◽  
Superior Performance ◽  
Vital Signs Monitoring ◽  
Wear Comfort ◽  
Citation Network Analysis ◽  
Research Domains

Receptivity towards textile-based fiber optic sensors that are used to monitor physical health is increasing as they have good flexibility, are light in weight, provide wear comfort, have electromagnetic immunity, and are electrically safe. Their superior performance has facilitated their use for obtaining close to body measurements. However, there are many related studies in the literature, so it is challenging to identify the knowledge structure and research trends. Therefore, this article aims to provide an objective and systematic literature review on textile-based fiber optic sensors that are used for monitoring health issues and to analyze their trends through a citation network analysis. A full-text search of journal articles was conducted in the Web of Science Core Collection, and a total of 625 studies was found, with 47 that were used as the sample. Also, CitNetExplorer was used for analyzing the research domains and trends. Three research domains were identified, among them, “Flexible sensors for vital signs monitoring” is the largest research cluster, and most of the articles in this cluster focus on respiratory monitoring. Therefore, this area of study should probably be on the academic radar. The collection of data on textile-based fiber optic sensors is invaluable for evaluating degree of rehabilitation, detecting diseases, preventing accidents, as well as gauging the performance and training successfulness of athletes.

scholarly journals An Overarching Review on Delay Analyses in Construction Projects

Buildings ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 109
Author(s):  
Murat Çevikbaş ◽  
Zeynep Işık
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Web Of Science ◽  
Delay Analysis ◽  
Future Studies ◽  
Main Research ◽  
Research Areas ◽  
Road Map ◽  
Research Themes ◽  
Research Domains

Numerous studies have been conducted by researchers on the delay analysis topic, which is one of the primary areas of scientific study due to the effects of delays on time and cost in construction projects. Following fruitful contributions made by the researchers, it is believed to be extremely important to summarize the existing studies in terms of being a road map for future studies and practitioners. In this context, not only does this study aim to detect the most significant authors, sources, organizations and countries contributing to the improvement of delay domain in the construction industry concerning delay analyses worldwide but also to provide the researchers with extensive insights concerning the prominent research themes, trends and gaps in the literature. Hence, 168 documents related to delay analyses from 1982 to 11 February 2021 were detected through the Scopus Database and the Web of Science Database, and scientometric analyses were conducted via VOSviewer software. By evaluating the related research, two main research areas were detected in this field, namely; improving the delay analysis methods and resolving the disputes before they occur. This study is believed to make theoretical and practical contributions in that it examines the delay analysis topic in all aspects such as prominent institutions, countries, authors and sources, synthesizes the data and highlights possible research domains, gaps and trends concerning the delay analysis topic in construction industry.

A Bibliometric Analysis of the Technological Innovation in China

2019 ◽  
pp. 67-87
Author(s):  
Chien-wen Shen ◽  
Jung-tsung Ho
Keyword(s):  
Bibliometric Analysis ◽  
Technological Innovation ◽  
Environmental Science ◽  
Citation Network ◽  
Engineering Science ◽  
Research Development ◽  
Main Research ◽  
Citation Network Analysis ◽  
Direct Citation ◽  
Development Group

This chapter uses direct citation network analysis and bibliometric analysis approach to explore the overall research development of China's technological innovation. Results show that environmental science ecology, engineering, science technology, and energy fuels are the top research topics related to China. A direct citation network of technological innovation in China is also illustrated to show the major themes of the technological innovation among key researchers in China. In addition, the authors adopt the relatedness measure as the basis of cluster analysis, which classifies five main research development groups related to the technological innovation in China. They then review the core papers under each group to illustrate the detailed development of each group. Researchers and practitioners can refer the results to identify the key papers in each development group and understand the influential research that may lead to the important technological innovations in China.

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 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.

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 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 Alice in Wonderland syndrome (AIWS): A research overview

2020 ◽  
Author(s):  
Md Mahbub Hossain
Keyword(s):  
Web Of Science ◽  
Body Schema ◽  
Future Research ◽  
Major Research ◽  
Publication Trends ◽  
Alice In Wonderland ◽  
Experience Of Time ◽  
Knowledge And Practice ◽  
Research Domains ◽  
Visual Disturbances

Background: Alice in Wonderland syndrome (AIWS) is a rare neuropsychiatric condition characterized by distorted visual perceptions, body schema, and experience of time. This bibliometric study aimed to analyze the characteristics of the global research landscape on AIWS. Methods: Bibliometric data on AIWS related publications published until 2019 were retrieved from the Web of Science database. The data were analyzed using statistical and scientometric tools to evaluate the publication trends, key research domains, top contributing journals, institutions, and countries associated with AIWS-related research. Results: A total of 125 published items were analyzed with a mean of 3 authors and 8.15 citations per document. Most articles were published after 2008, in medical journals focused on neuropsychiatric sciences, and most institutions affiliated with AIWS research were based on high-income countries. Major research domains associated with AIWS included visual disturbances, body image, migraine, infections, risk factors, and other clinical correlates. Conclusion: The current research landscape informs a developing trend in AIWS research in selected regions and specialties. Future research should emphasize multidisciplinary and translational investigations through global collaborations to advance the knowledge and practice on AIWS.

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