scholarly journals Research Fronts of Computer Science: A Scientometric Analysis

2021 ◽  
Vol 10 (1) ◽  
pp. 18-26
Author(s):  
Wanjun Xia ◽  
Yanping Jiang ◽  
Weifeng Zhu ◽  
Shuang Zhang ◽  
Tianrui Li
Keyword(s):  
Computer Science ◽  
Scientometric Analysis ◽  
Research Fronts

Magnetic nanoparticles research: a scientometric analysis of development trends and research fronts

2016 ◽  
Vol 108 (3) ◽  
pp. 1591-1602 ◽  
Author(s):  
Ping Liu ◽  
Bao-Li Chen ◽  
Kan Liu ◽  
Hao Xie
Keyword(s):  
Magnetic Nanoparticles ◽  
Scientometric Analysis ◽  
Development Trends ◽  
Research Fronts

scholarly journals Algorithm for Applying Statistics and Scientometric Analysis to Identify Innovative Areas of Focus in Scientific Knowledge in Labour Economics

2019 ◽  
Vol 26 (2) ◽  
pp. 53-66
Author(s):  
O. E. Bashina ◽  
L. V. Matraeva ◽  
Ye. S. Vasyutina
Keyword(s):  
Scientific Knowledge ◽  
Search Algorithm ◽  
Subject Area ◽  
Future Research ◽  
Scientometric Analysis ◽  
Labour Economics ◽  
Timing Diagram ◽  
Research Fronts ◽  
Principal Points ◽  
Active Research

The modern Digital Universe changes and expands at a speed that every two years double the amount of data. It leads to a situation when huge accumulated flows of information can no longer be covered by traditional scientific search and built into a relevant scientific research framework. The authors argue that there is a need for using modern statistics and scientometric application packages for solving research tasks in the primary trends of the information economy. The article presents a comparative analysis of various scientometric programs and describes a new approach to identifying and visualizing patterns and transient regularities in the scientific literature on the basis of a study of global publication flows in the last 25 years in the subject area of «labour economics» represented in the Web of Science.The authors conceptualize and visualize scientific domain of «labour economics» within the framework of the timing diagram of the evolution of research fronts. They introduce the search algorithm for active research fronts in the global information flow using CiteSpace V.0 and highlight the most critical trends and principal points of research clusters for the past decade on labour economics and its core studies. The paper determines most perspective citation spikes that could potentially become the center of new scientific knowledge in this area and outlines opportunities for future research.

scholarly journals The Landscape of Risk Perception Research: A Scientometric Analysis

2021 ◽  
Vol 13 (23) ◽  
pp. 13188
Author(s):  
Floris Goerlandt ◽  
Jie Li ◽  
Genserik Reniers
Keyword(s):  
Risk Perception ◽  
Consumer Choice ◽  
Traffic Accidents ◽  
Temporal Dynamics ◽  
Research Output ◽  
Temporal Trends ◽  
Future Research ◽  
Scientometric Analysis ◽  
Research Fronts ◽  
High Level

Risk perception is important in organizational and societal governance contexts. This article presents a high-level analysis of risk perception research using Web of Science core collection databases, scientometrics methods and visualization tools. The focus is on trends in outputs, geographical and temporal trends, and patterns in the associated scientific categories. Thematic clusters and temporal dynamics of focus topics are identified using keyword analysis. A co-citation analysis is performed to identify the evolution of research fronts and key documents. The results indicate that research output is growing fast, with most contributions originating from western countries. The domain is highly interdisciplinary, rooted in psychology and social sciences, but branching into domains related to environmental sciences, medicine, and engineering. Significant research themes focus on perceptions related to health, with a focus on cancer, human immunodeficiency virus, and epidemiology, natural hazards and major disasters, traffic accidents, technological and industrial risks, and customer trust. Risk perception research originated from consumer choice decisions, with subsequent research fronts focusing on understanding the risk perception concept, and on developing taxonomies and measurement methods. Applied research fronts focus on environmental hazards, traffic accidents, breast cancer and, more recently, e-commerce transactions and flood risk. Based on the results, various avenues for future research are described.

scholarly journals The Landscape of Risk Communication Research: A Scientometric Analysis

2020 ◽  
Vol 17 (9) ◽  
pp. 3255 ◽  
Author(s):  
Floris Goerlandt ◽  
Jie Li ◽  
Genserik Reniers
Keyword(s):  
Public Health ◽  
Risk Communication ◽  
Practical Importance ◽  
Risk Governance ◽  
Scientometric Analysis ◽  
Distribution Analysis ◽  
Communication Research ◽  
Research Fronts ◽  
Societal Risk ◽  
Research Domain

Risk communication is a significant research domain with practical importance in supporting societal risk governance and informed private decision making. In this article, a high-level analysis of the risk communication research domain is performed using scientometrics methods and visualization tools. Output trends and geographical patterns are identified, and patterns in scientific categories determined. A journal distribution analysis provides insights into dominant journals and the domain’s intellectual base. Thematic clusters and temporal evolution of focus topics are obtained using a terms analysis, and a co-citation analysis provides insights into the evolution of research fronts and key documents. The results indicate that the research volume grows exponentially, with by far most contributions originating from Western countries. The domain is highly interdisciplinary, rooted in psychology and social sciences, and branching mainly into medicine and environmental sciences. Narrative themes focus on risk communication in medical and societal risk governance contexts. The domain originated from public health and environmental concerns, with subsequent research fronts addressing risk communication concepts and models. Applied research fronts are associated with environmental hazards, public health, medical risks, nuclear power, and emergency response to various natural hazards. Based on the results, various avenues for future research are described.

scholarly journals A SCIENTOMETRIC ANALYSIS OF THE EMERGING TOPICS IN GENERAL COMPUTER SCIENCE

2020 ◽  
Vol 19 (Number 4) ◽  
pp. 583-622
Author(s):  
Norliza Katuk ◽  
Ku Ruhana Ku-Mahamud ◽  
Nur Haryani Zakaria ◽  
Ayad Mohammed Jabbar
Keyword(s):  
Computer Science ◽  
Citation Count ◽  
Subject Area ◽  
Library Science ◽  
Editorial Team ◽  
Scientometric Analysis ◽  
Journal Editorial ◽  
Emerging Topics ◽  
General Computer Science ◽  
General Computer

Citations have been an acceptable journal performance metric used by many indexing databases for inclusion and discontinuation of journals in their list. Therefore, editorial teams must maintain their journal performance by increasing article citations for continuous content indexing in the databases. With this aim in hand, this study intended to assist the editorial team of the Journal of Information and Communication Technology (JICT) in increasing the performance and impact of the journal. Currently, the journal has suffered from low citation count, which may jeopardise its sustainability. Past studies in library science suggested a positive correlation between keywords and citations. Therefore, keyword and topic analyses could be a solution to address the issue of journal citation. This article described a scientometric analysis of emerging topics in general computer science, the Scopus subject area for which JICT is indexed. This study extracted bibliometric data of the top 10% journals in the subject area to create a dataset of 5,546 articles. The results of the study suggested ten emerging topics in computer science that can be considered by the journal editorial team in selecting articles and a list of highly used keywords in articles published in 2019 and 2020 (as of 15 April 2020). The outcome of this study might be considered by the JICT editorial team and other journals in general computer science that suffer from a similar issue.

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