Snehasis Mukherjee
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Co-authors
- Shiv Ram DubeyS. H. Shabbeer BashaP. ViswanathSoumendu ChakrabortySwalpa Kumar RoyB.B. ChaudhuriSatish Kumar SinghDipti Prasad Mukherjee
- Topics
- Human Pose and Action Recognition (14 papers)Advanced Neural Network Applications (10 papers)Video Surveillance and Tracking Methods (10 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Snehasis Mukherjee
40 papers receiving 860 citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 450
- Artificial Intelligence 283
- Media Technology 122
- Radiology, Nuclear Medicine and Imaging 91
- Biomedical Engineering 76
Countries citing papers authored by Snehasis Mukherjee
This map shows the geographic impact of Snehasis 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 Snehasis Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Snehasis Mukherjee more than expected).
Fields of papers citing papers by Snehasis Mukherjee
This network shows the impact of papers produced by Snehasis 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 Snehasis Mukherjee. The network helps show where Snehasis Mukherjee may publish in the future.
Co-authorship network of co-authors of Snehasis Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Snehasis Mukherjee. A scholar is included among the top collaborators of Snehasis 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 Snehasis Mukherjee. Snehasis 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 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 18 | |
| 7 | 37 | |
| 8 | 23 | |
| 9 | 185 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 38 | |
| 13 | 2 | |
| 14 | 13 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 30 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 2 |
About Snehasis Mukherjee
Snehasis Mukherjee is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 43 papers that have together received 900 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (14 papers), Advanced Neural Network Applications (10 papers) and Video Surveillance and Tracking Methods (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (450 citations), Media Technology (122 citations) and Artificial Intelligence (283 citations). Snehasis Mukherjee has collaborated with scholars based in India and United States. Frequent co-authors include Shiv Ram Dubey, S. H. Shabbeer Basha, P. Viswanath, Soumendu Chakraborty, Swalpa Kumar Roy, B.B. Chaudhuri, Satish Kumar Singh, Dipti Prasad Mukherjee, Sujoy Biswas and Suvadip Mukherjee. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and Neural Networks.
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.