Mayank Vatsa
Impact in
- Signal Processing top 0.05%
- Biometric Identification and Security
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- Face recognition and analysis
- Face and Expression Recognition
- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
Papers in
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- Biometric Identification and Security 153
-
- Face recognition and analysis 143
- Face and Expression Recognition 113
- Digital Media Forensic Detection 31
- Advanced Image and Video Retrieval Techniques 21
- Co-authors
- Richa SinghAfzel NooreAkshay AgarwalSamarth BharadwajGaurav GoswamiHimanshu S. BhattTejas I. DhamechaAnush Sankaran
- Journals
- IEEE Transactions on Biometrics Behavior and Identity Science (13 papers)IEEE Transactions on Information Forensics and Security (12 papers)Information Fusion (9 papers)Pattern Recognition (9 papers)IEEE Access (7 papers)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Mayank Vatsa
282 papers receiving 6.4k citations
Peers
Comparison fields: 5 of 155
- Signal Processing 3.9k
- Computer Vision and Pattern Recognition 4.8k
- Safety Research 527
- Information Systems 1.2k
- Media Technology 403
Countries citing papers authored by Mayank Vatsa
This map shows the geographic impact of Mayank Vatsa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mayank Vatsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayank Vatsa more than expected).
Fields of papers citing papers by Mayank Vatsa
This network shows the impact of papers produced by Mayank Vatsa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mayank Vatsa. The network helps show where Mayank Vatsa may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayank Vatsa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 13 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 5 | |
| 13 | 2022 | 0 | |
| 14 | 2022 | 1 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 5 | |
| 17 | NewsBag: A Benchmark Multimodal Dataset for Fake News Detection. | 2020 | 5 |
| 18 | 2009 | 62 | |
| 19 | Fingerprint Indexing using Minutiae and Pore Features. | 2009 | 6 |
| 20 | 2003 | 184 |
About Mayank Vatsa
Mayank Vatsa is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Health Informatics, Safety Research and Artificial Intelligence, having authored 307 papers that have together received 6.8k indexed citations. Recurring topics across this work include Biometric Identification and Security (153 papers), Face recognition and analysis (143 papers), Face and Expression Recognition (113 papers), User Authentication and Security Systems (36 papers), Adversarial Robustness in Machine Learning (33 papers), Digital Media Forensic Detection (31 papers), Forensic Fingerprint Detection Methods (27 papers) and Advanced Image and Video Retrieval Techniques (21 papers). The work is most often cited by research in Signal Processing (3.9k citations), Computer Vision and Pattern Recognition (4.8k citations), Safety Research (527 citations), Information Systems (1.2k citations) and Media Technology (403 citations). Mayank Vatsa has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Richa Singh, Afzel Noore, Akshay Agarwal, Samarth Bharadwaj, Gaurav Goswami, Himanshu S. Bhatt, Tejas I. Dhamecha, Anush Sankaran, Nalini Ratha and Angshul Majumdar. Their work appears in journals such as IEEE Transactions on Biometrics Behavior and Identity Science, IEEE Transactions on Information Forensics and Security, Information Fusion, Pattern Recognition and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.