Digital Media Forensic Detection
Digital Media Forensic Detection is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 21k research works in it since 1954. 16.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the detection and identification of digital image forgeries, including techniques such as copy-move forgery detection, sensor pattern noise analysis, JPEG compression history estimation, camera model identification, splicing detection, and tampering localization. The papers also explore the application of deep learning methods for image forensics and the detection of inconsistencies in image manipulation.
- Image Forgery Detection
- Digital Forensics
- Copy-Move Forgery
- Sensor Pattern Noise
- JPEG Compression
- Camera Model Identification
- Deep Learning
- Splicing Detection
- Tampering Localization
- Resampling Detection
- Research works
- 21k fractional, since 1954
- In the world top 10%
- 3.6k per year above
- Top-10% rate
- 16.8% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +72% the tick is no change
Which countries lead Digital Media Forensic Detection research?
By volume, China and India publish the most (2.2k and 1.5k works in 2022–2025).
By volume, 2022–2025
- 1 China 2.2k works
- 2 India 1.5k works
- 3 United States 499 works
- 4 South Korea 168 works
- 5 United Kingdom 143 works
- 6 Italy 126 works
- 7 Taiwan 119 works
- 8 Indonesia 118 works
- 9 Iraq 116 works
- 10 Germany 106 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Digital Media Forensic Detection research?
By volume in 2022–2025, Beijing University of Posts and Telecommunications publishes the most Digital Media Forensic Detection research, followed by Vellore Institute of Technology University and University of Science and Technology of China.
By volume, 2022–2025
- 1 Beijing University of Posts and TelecommunicationsChina 46 works
- 2 Vellore Institute of Technology UniversityIndia 37 works
- 3 University of Science and Technology of ChinaChina 36 works
- 4 Amrita Vishwa VidyapeethamIndia 35 works
- 5 Shanghai Jiao Tong UniversityChina 35 works
- 6 SRM Institute of Science and TechnologyIndia 34 works
- 7 Chinese Academy of SciencesChina 32 works
- 8 Fudan UniversityChina 30 works
- 9 Delhi Technological UniversityIndia 28 works
- 10 Sun Yat-sen UniversityChina 28 works
Who are the leading researchers in Digital Media Forensic Detection?
The most-cited researchers publishing on Digital Media Forensic Detection include Luc Van Gool, Chen Change Loy and Ming–Hsuan Yang.
- 1 Luc Van Gool Switzerland 8.5k citations
- 2 Chen Change Loy Singapore 7.7k citations
- 3 Ming–Hsuan Yang United States 7.4k citations
- 4 Thomas S. Huang United States 7.4k citations
- 5 Anil K. Jain United States 6.3k citations
- 6 Yann LeCun United States 5.4k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Digital Media Forensic Detection research done?
The largest centres of Digital Media Forensic Detection research in 2022–2025 are Beijing (China), Shanghai (China), Chennai (India) and Nanjing (China).
Where is the best place to study Digital Media Forensic Detection?
Among universities, judged by research, Delhi Technological University, Thapar Institute of Engineering & Technology and National Institute of Technology Patna score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Delhi Technological UniversityIndia | 64.9 | 16.4% | 15.4× | 28 | +216.2% |
| 2 | Thapar Institute of Engineering & TechnologyIndia | 64.1 | 29.7% | 10.6× | 11 | +1221.2% |
| 3 | National Institute of Technology PatnaIndia | 63.2 | 44.1% | 11.9× | 11 | — |
| 4 | Nanjing University of Information Science and TechnologyChina | 62.8 | 15.0% | 9.1× | 25 | +475.1% |
| 5 | Beijing University of Posts and TelecommunicationsChina | 62.0 | 15.1% | 11.1× | 46 | +55.4% |
| 6 | University of Science and Technology of ChinaChina | 56.6 | 27.5% | 4.5× | 36 | +112.9% |
| 7 | Amrita Vishwa VidyapeethamIndia | 56.5 | 12.7% | 10.0× | 36 | +34.0% |
| 8 | Vellore Institute of Technology UniversityIndia | 55.9 | 13.8% | 5.7× | 37 | +416.5% |
| 9 | Institute of EngineeringNepal | 53.9 | 4.1% | 10.3× | 13 | +175.5% |
| 10 | Shenzhen UniversityChina | 53.7 | 17.4% | 5.4× | 27 | +162.6% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Digital Media Forensic Detection research growing?
Output in 2018–2022 was 72% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Digital Media Forensic Detection.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.