Decoding Emotions: Mapping the Bibliometric Landscape through Facial Recognition Studies

doi:10.23940/ijpe.24.02.p6.112119

Int J Performability Eng ›› 2024, Vol. 20 ›› Issue (2): 112-119.doi: 10.23940/ijpe.24.02.p6.112119

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Decoding Emotions: Mapping the Bibliometric Landscape through Facial Recognition Studies

Ekta Singh^* and Parma Nand

Department of Computer Science and Engineering, Sharda University, Uttar Pradesh, India

Submitted on ; Revised on ; Accepted on
Contact: * E-mail address: 2021210063.ekta@dr.sharda.ac.in

Abstract

Abstract: This study presents a comprehensive bibliometric analysis of research in facial emotion recognition. Utilizing the Scopus database, a total of 2492 articles published in English were meticulously analyzed. The study employed various bibliometric indicators, including publication year, source, author, country, and keyword analyses. Tools such as Vos viewer and Excel were used for performance analysis. Our findings highlight a significant growth in publications over the years, with a notable concentration in computer science and engineering. The study identifies key contributors, prevalent research trends, and emerging facial emotion recognition research topics. The insights gained from this study provide a valuable overview of the field's evolution and its current landscape, facilitating future research directions and collaborations.

Key words: face recognition, emotions, bibliometric, Scopus, meta analysis

Ekta Singh and Parma Nand. Decoding Emotions: Mapping the Bibliometric Landscape through Facial Recognition Studies [J]. Int J Performability Eng, 2024, 20(2): 112-119.

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Decoding Emotions: Mapping the Bibliometric Landscape through Facial Recognition Studies

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