Ankit Jaiswal
Impact in
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- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Generative Adversarial Networks and Image Synthesis
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- Digital Media Forensic Detection 8
- Advanced Steganography and Watermarking Techniques 5
- Co-authors
- Rajeev Srivastava (7 shared papers)Prashant Kodgire (7 shared papers)Tomer Avidor‐Reiss (6 shared papers)Harshit Singh (1 shared paper)Uma Shankar (1 shared paper)Tarun Kumar Sharma (1 shared paper)Naoki Kanayama (2 shared papers)Monika Jain (1 shared paper)
- Journals
- Molecular Immunology (3 papers)International Reviews of Immunology (2 papers)Multimedia Tools and Applications (2 papers)Scientific Reports (1 paper)Pattern Analysis and Applications (1 paper)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Ankit Jaiswal
28 papers receiving 233 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 119
- Biophysics 25
- Media Technology 30
- Reproductive Medicine 18
- Law 20
Countries citing papers authored by Ankit Jaiswal
This map shows the geographic impact of Ankit Jaiswal'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 Ankit Jaiswal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Jaiswal more than expected).
Fields of papers citing papers by Ankit Jaiswal
This network shows the impact of papers produced by Ankit Jaiswal. 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 Ankit Jaiswal. The network helps show where Ankit Jaiswal may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankit Jaiswal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 45 | |
| 2 | 2021 | 36 | |
| 3 | 2019 | 29 | |
| 4 | 2017 | 14 | |
| 5 | 2022 | 13 | |
| 6 | 2019 | 12 | |
| 7 | 2020 | 11 | |
| 8 | 2022 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 4 | |
| 17 | An economic analysis of soybean cultivation vis-à-vis its competing crops in Madhya Pradesh | 2012 | 3 |
| 18 | 2019 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 3 |
About Ankit Jaiswal
Ankit Jaiswal is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Immunology, Plant Science and Cell Biology, having authored 32 papers that have together received 241 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (8 papers), Advanced Steganography and Watermarking Techniques (5 papers), Microtubule and mitosis dynamics (5 papers), Image Processing Techniques and Applications (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers), Chromosomal and Genetic Variations (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (119 citations), Biophysics (25 citations), Media Technology (30 citations), Reproductive Medicine (18 citations) and Law (20 citations). Ankit Jaiswal has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Rajeev Srivastava, Prashant Kodgire, Tomer Avidor‐Reiss, Harshit Singh, Uma Shankar, Tarun Kumar Sharma, Naoki Kanayama, Monika Jain, Amit Kumar and Emily Fishman. Their work appears in journals such as Molecular Immunology, International Reviews of Immunology, Multimedia Tools and Applications, Scientific Reports and Pattern Analysis and Applications.
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.