Deepayan Bhowmik
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Charith AbhayaratneFeng TianOluwaseun AjaoShahrzad ZargariMark HawleyFabien CardinauxAndrew WallaceArmando Marino
- Topics
- Advanced Steganography and Watermarking Techniques (25 papers)Digital Media Forensic Detection (16 papers)Advanced Data Compression Techniques (8 papers)
- Partner nations
- United KingdomIndiaBelgium
In The Last Decade
Deepayan Bhowmik
49 papers receiving 667 citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 305
- Information Systems 202
- Artificial Intelligence 130
- Sociology and Political Science 122
- Computer Networks and Communications 82
Countries citing papers authored by Deepayan Bhowmik
This map shows the geographic impact of Deepayan Bhowmik'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 Deepayan Bhowmik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepayan Bhowmik more than expected).
Fields of papers citing papers by Deepayan Bhowmik
This network shows the impact of papers produced by Deepayan Bhowmik. 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 Deepayan Bhowmik. The network helps show where Deepayan Bhowmik may publish in the future.
Co-authorship network of co-authors of Deepayan Bhowmik
This figure shows the co-authorship network connecting the top 25 collaborators of Deepayan Bhowmik. A scholar is included among the top collaborators of Deepayan Bhowmik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deepayan Bhowmik. Deepayan Bhowmik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 34 | |
| 14 | Sentiment Aware Fake News Detection on Online Social Networks (Forthcoming) | 1 |
| 15 | 13 | |
| 16 | 12 | |
| 17 | 17 | |
| 18 | 100 | |
| 19 | 2 | |
| 20 | 5 |
About Deepayan Bhowmik
Deepayan Bhowmik is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Signal Processing, having authored 53 papers that have together received 708 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (25 papers), Digital Media Forensic Detection (16 papers) and Advanced Data Compression Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (305 citations), Information Systems (202 citations) and Signal Processing (67 citations). Deepayan Bhowmik has collaborated with scholars based in United Kingdom, India and Belgium. Frequent co-authors include Charith Abhayaratne, Feng Tian, Oluwaseun Ajao, Shahrzad Zargari, Mark Hawley, Fabien Cardinaux, Andrew Wallace, Armando Marino, Savi Maharaj and Robert Stewart. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and Remote Sensing.
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.