A Bibliometric Study and Science Mapping Research of Intelligent Decision

Li, Bo; Xu, Zeshui; Hong, Nan; Hussain, Amir

Abstract

Intelligent decision (ID) has received a great deal of attention and has been integrated into various fields, such as machine learning, fuzzy inference system, and natural language processing. The advanced technologies have become hot topics and have been made great development and innovations in academic documents. This paper is a comprehensive review in the field of ID based on bibliometric analysis and strategic analysis. First, the descriptive statistics and results are presented, including database, annual publications, research directions, and hotspots. Based on the visualization tools (including VOS viewer, CiteSpace, Bibexcel, and GPS visualizer), from the perspective of the author keyword, the current research topics, and the development evolution are presented. Some bibliometric analysis methods are applied, such as co-occurrence analysis, timeline view analysis, and burst detection analysis. Then, this paper identifies the most influential countries/regions, institutions, and authors. Next, some important themes are further discussed by strategic analysis and overlapping analysis. This paper helps scholars with understanding the development trajectory and statistical model of ID research to promote in-depth exploration.

• Journal Article Type: Article
• Acceptance Date: Jan 3, 2022
• Online Publication Date: Jan 22, 2022
• Publication Date: 2022-05
• Deposit Date: Mar 8, 2022
• Journal: Cognitive Computation
• Print ISSN: 1866-9956
• Electronic ISSN: 1866-9964
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Pages: 989-1008
• DOI: https://doi.org/10.1007/s12559-022-09993-3
• Keywords: Intelligent decision, Bibliometrics, Keywords, Clusters, Strategic analysis
• Public URL: http://researchrepository.napier.ac.uk/Output/2841856