A bibliometric overview of International Journal of Machine Learning and Cybernetics between 2010 and 2017
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ORIGINAL ARTICLE
A bibliometric overview of International Journal of Machine Learning and Cybernetics between 2010 and 2017 Zeshui Xu1 · Dejian Yu2 · Xizhao Wang3 Received: 19 June 2018 / Accepted: 8 September 2018 © Springer-Verlag GmbH Germany, part of Springer Nature 2018
Abstract International Journal of Machine Learning and Cybernetics (IJMLC) is one of the influential journals in the area of computer science, and it published its first issue in 2010. On the one hand, taking the 544 IJMLC publications between 2010 and 2017 as the research object, this paper uses bibliometric methods to study the citation characteristics, international cooperation and institutional cooperation, the author’s cooperation rate and cooperation degree, geographical distribution of the IJMLC publications. On the other hand, CiteSpace and Vosviewer, two data visualization software tools, are used to make the comprehensive analysis of the co-occurrence of the author keywords of the IJMLC publications. The document co-citation clusters visualization and burst detection of keywords are also presented to explore the development of the research trends. The research results in this paper provide a basis for further improving the academic level and quality of the IJMLC. Keywords Bibliometric · Citation and co-citation · IJMLC · CiteSpace · Vosviewer
1 Introduction International Journal of Machine Learning and Cybernetics (IJMLC) is a peer-review journal in computer science published by Springer dating back to 2010. According to its official website, it focuses on and publishes scientific research achievements in the field of machine learning and cybernetics. In addition, the interdisciplinary research findings that integrate other disciplines with machine learning and cybernetics such as engineering, mathematics, cognitive sciences also belong to the scope of the IJMLC. The 2017 JCR (Journal Citation Reports) shows that the IJMLC ranks 35th out of 132 ‘computer science, and artificial * Zeshui Xu [email protected] Dejian Yu [email protected] Xizhao Wang [email protected] 1
Business School, Sichuan University, Chengdu 610064, China
2
Business School, Nanjing Audit University, Nanjing 211815, Jiangsu, China
3
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
intelligence’ categorized journals and its impact factor is 2.692. Since its establishment, the IJMLC has made important contributions to computer science, especially in the field of machine learning and cybernetics. So far, the IJLMC has contributed hundreds of academic publications in this field, and therefore, it is necessary to take a bibliometric overview of the IJLMC publications. The concept of bibliometric was put forward in 1969 by information scientist Pritchard [34]. It refers to the mathematical and statistical methods to quantitatively analyze the cross-science of all knowledge carriers [4, 16, 51]. At present, bibliometric has become an important branch of informatics. It has attracted the attention of resea
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