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The research landscape on the artificial intelligence: a bibliometric analysis of recent 20 years

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Abstract

Artificial intelligence (AI), a general term that implies the imitation of information process of intelligent behavior and sense with minimal intervention, is one of the most promising research areas and has received a considerable attention with coexisting pros and cons. In order to understand the research status quo and future trends on AI technology, this work uses bibliometric analysis method to obtain this objective. By analyzing the datasets including journal article data collected from Web of Science (WOS), conference paper data retrieved from Scopus and the patent data extracted from Derwent Innovations Index (DII) in the period of 2000-2019, we primarily provide a comprehensive overview to better understand the research status of AI. Bibliometric analysis results can also shed light on the evolution and trends in AI.

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Authors and Affiliations

  1. School of Business, Hubei University, Youyi Avenue 368, Wuhan, China

    Hui Gao

  2. School of Management, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan, China

    Xiuhao Ding

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  1. Hui Gao
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  2. Xiuhao Ding
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Correspondence to Hui Gao.

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Gao, H., Ding, X. The research landscape on the artificial intelligence: a bibliometric analysis of recent 20 years. Multimed Tools Appl 81, 12973–13001 (2022). https://doi.org/10.1007/s11042-022-12208-4

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  • DOI: https://doi.org/10.1007/s11042-022-12208-4

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