Mapping the Landscape of Artificial Intelligence Research: A Bibliometric Approach

Authors

  • Eri Mardiani Universitas Nasional
  • Muhammad Subhan Iswahyudi Indonesian Center for Team Coaching Studies (ICTCS)

DOI:

https://doi.org/10.58812/wsis.v1i08.183

Keywords:

Mapping, Landscape, Artificial Intelligence, Bibliometric

Abstract

This research study employs a comprehensive bibliometric approach, enhanced by the utilization of VOS viewer, to map the expansive landscape of artificial intelligence (AI) research. Through the meticulous collection, pre-processing, and analysis of a diverse dataset, this study uncovers the multifaceted dimensions that define AI research. The analysis encompasses publication trends, authorship dynamics, citation patterns, and emergent research themes. The integration of VOS viewer’s visualization capabilities enriches the exploration by offering intuitive representations of collaboration networks, citation maps, and thematic clusters. The results highlight the growth trajectory of AI research, the collaborative networks among researchers and institutions, the influence of seminal works, and the emergence of thematic trends. Moreover, the study contextualizes the findings, discussing their implications for interdisciplinary collaboration, ethical considerations, and the societal impact of AI research. Ultimately, this research contributes to a comprehensive understanding of AI research dynamics, guiding future exploration, collaboration, and innovation within this rapidly evolving domain.

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Published

2023-08-29

How to Cite

Eri Mardiani, & Iswahyudi, M. S. (2023). Mapping the Landscape of Artificial Intelligence Research: A Bibliometric Approach . West Science Interdisciplinary Studies, 1(08), 606–618. https://doi.org/10.58812/wsis.v1i08.183

Issue

Vol. 1 No. 08 (2023): West Science Interdisciplinary Studies

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Articles

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Copyright (c) 2023 Eri Mardiani, Muhammad Subhan Iswahyudi

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