A Bibliometric Analysis of Digital Image Forensics

被引：29
|
作者：
Gokhale, Angelina [1 ]
Mulay, Preeti [2 ]
Pramod, Dhanya [1 ]
Kulkarni, Ravi [3 ]
机构：
[1] Symbiosis Centre for Information Technology (SCIT), Symbiosis International (Deemed) University, Pune, India
[2] Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed) University, Pune, India
[3] Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed) University, Pune, India
来源：
Science and Technology Libraries | 2020年 / 39卷 / 01期
关键词：
Deep learning;
D O I：
10.1080/0194262X.2020.1714529
中图分类号：
学科分类号：
摘要：
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. © 2020, © 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.
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页码：96 / 113
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