A Bibliometric Analysis of Digital Image Forensics

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 min...

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Bibliographic Details
Published inScience & technology libraries (New York, N.Y.) Vol. 39; no. 1; pp. 96 - 113
Main Authors Gokhale, Angelina, Mulay, Preeti, Pramod, Dhanya, Kulkarni, Ravi
Format Journal Article
LanguageEnglish
Published Philadelphia Routledge 02.01.2020
Taylor & Francis LLC
Subjects
bibliometric analysis
Bibliometrics
Digital image forensics
Digital imaging
Forensic sciences
image forgery detection
Machine learning
mind map
PRISMA
Scopus
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0194-262X
1541-1109
DOI:10.1080/0194262X.2020.1714529