Rahul Dixit
Impact in
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- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Generative Adversarial Networks and Image Synthesis
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Digital Media Forensic Detection 15
- Advanced Steganography and Watermarking Techniques 9
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- Image Processing Techniques and Applications 10
- Co-authors
- Ruchira Naskar (12 shared papers)Swati Mishra (1 shared paper)Rajat Subhra Chakraborty (6 shared papers)Arvind Dhaka (3 shared papers)Arpit Kumar Sharma (2 shared papers)Richard C.K. Wong (1 shared paper)Michael Ho-Yan Lee (1 shared paper)Ananya Das (1 shared paper)
- Journals
- International Journal of Imaging Systems and Technology (1 paper)Sadhana (1 paper)Applied Soft Computing (1 paper)Multimedia Tools and Applications (1 paper)IEEE Engineering Management Review (1 paper)
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Rahul Dixit
31 papers receiving 290 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 204
- Media Technology 80
- Biophysics 41
- Gastroenterology 28
- Neurology 23
Countries citing papers authored by Rahul Dixit
This map shows the geographic impact of Rahul Dixit'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 Rahul Dixit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Dixit more than expected).
Fields of papers citing papers by Rahul Dixit
This network shows the impact of papers produced by Rahul Dixit. 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 Rahul Dixit. The network helps show where Rahul Dixit may publish in the future.
Co-authors
The 17 scholars most cited alongside Rahul Dixit, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 50 | |
| 2 | 2018 | 46 | |
| 3 | 2010 | 35 | |
| 4 | 2021 | 25 | |
| 5 | 2020 | 17 | |
| 6 | 2019 | 17 | |
| 7 | 2011 | 15 | |
| 8 | 2017 | 13 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2019 | 8 | |
| 13 | Digital Image Forensics: Theory and Implementation | 2019 | 6 |
| 14 | 2020 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2016 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2020 | 3 |
About Rahul Dixit
Rahul Dixit is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biophysics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 309 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (15 papers), Image Processing Techniques and Applications (10 papers), Advanced Steganography and Watermarking Techniques (9 papers), Cell Image Analysis Techniques (6 papers), COVID-19 diagnosis using AI (5 papers), Digital and Cyber Forensics (3 papers), Music and Audio Processing (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (204 citations), Media Technology (80 citations), Biophysics (41 citations), Gastroenterology (28 citations) and Neurology (23 citations). Rahul Dixit has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Ruchira Naskar, Swati Mishra, Rajat Subhra Chakraborty, Arvind Dhaka, Arpit Kumar Sharma, Richard C.K. Wong, Michael Ho-Yan Lee, Ananya Das, Chintan Bhavsar and Aditi Sahoo. Their work appears in journals such as International Journal of Imaging Systems and Technology, Sadhana, Applied Soft Computing, Multimedia Tools and Applications and IEEE Engineering Management Review.
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.