Suvadip Mukherjee
- Computer Vision and Pattern Recognition top 10%
- Biophysics top 5%
- Media Technology top 5%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Co-authors
- Scott T. ActonBarry CondronXiaojie HuangJean‐Christophe Olivo‐MarínSaurav BasuNitin SinghalC. PerreyThibault Lagache
- Topics
- Cell Image Analysis Techniques (9 papers)Advanced Fluorescence Microscopy Techniques (5 papers)Image Processing Techniques and Applications (5 papers)
- Journals
- Nature CommunicationsIEEE Transactions on Image ProcessingIEEE Transactions on Medical Imaging
- Partner nations
- United StatesFranceIndia
In The Last Decade
Suvadip Mukherjee
23 papers receiving 264 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 106
- Biophysics 81
- Media Technology 64
- Radiology, Nuclear Medicine and Imaging 48
- Artificial Intelligence 42
Countries citing papers authored by Suvadip Mukherjee
This map shows the geographic impact of Suvadip Mukherjee'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 Suvadip Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suvadip Mukherjee more than expected).
Fields of papers citing papers by Suvadip Mukherjee
This network shows the impact of papers produced by Suvadip Mukherjee. 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 Suvadip Mukherjee. The network helps show where Suvadip Mukherjee may publish in the future.
Co-authorship network of co-authors of Suvadip Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Suvadip Mukherjee. A scholar is included among the top collaborators of Suvadip Mukherjee 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 Suvadip Mukherjee. Suvadip Mukherjee 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 | 9 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 29 | |
| 9 | 13 | |
| 10 | 17 | |
| 11 | 14 | |
| 12 | 11 | |
| 13 | 73 | |
| 14 | 41 | |
| 15 | 6 | |
| 16 | 13 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 3 |
About Suvadip Mukherjee
Suvadip Mukherjee is a scholar working on Biophysics, Media Technology and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 268 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (9 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Image Processing Techniques and Applications (5 papers). The work is most often cited by research in Biophysics (81 citations), Media Technology (64 citations) and Structural Biology (8 citations). Suvadip Mukherjee has collaborated with scholars based in United States, France and India. Frequent co-authors include Scott T. Acton, Barry Condron, Xiaojie Huang, Jean‐Christophe Olivo‐Marín, Saurav Basu, Nitin Singhal, C. Perrey, Thibault Lagache, Snehasis Mukherjee and Elisabeth Labruyère. Their work appears in journals such as Nature Communications, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.
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.