A Bibliometric Analysis of Digital Image Forensics. Issue 1 (2nd January 2020)

• Record Type: Journal Article
• Authors: Gokhale, Angelina; Mulay, Preeti; Pramod, Dhanya; Kulkarni, Ravi
• Is Part Of: Science & technology libraries. Volume 39:Issue 1(2020)
• Page Start: 96
• Page End: 113
• Publication Date: 2020-01-02
• Subjects: Digital image forensics -- image forgery detection -- bibliometric analysis -- mind map -- Scopus -- PRISMA; Science and technology libraries -- Periodicals; Wetenschappelijke bibliotheken; Natuurwetenschappen; Techniek; Sciences -- Bibliothèques -- Périodiques; Technologie -- Bibliothèques -- Périodiques; Ressource Internet (Descripteur de forme); Périodique électronique (Descripteur de forme); 026.5
• DOI: 10.1080/0194262X.2020.1714529
• Languages: English
• ISSNs: 0194-262X

Abstract

ABSTRACT: We present a bibliometric analysis of the evolving field of digital image forensics (DIF) from 2014 to early 2020. The study analyses and discusses the results obtained from the highly indexed Scopus database for various subject areas, renowned authors, funding agencies, and affiliations using a mind map approach. We adapt the PRISMA methodology formerly applied for systematic reviews to refine our search results. The results of this study indicate an increasing awareness of DIF in countries like China, India, and Italy along with an increase in publications since 2018, specifically, with the application of deep learning techniques for DIF.