Somnath Sengupta
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Automotive Engineering top 5%
- Media Technology top 5%
- Co-authors
- Maheshkumar H. KolekarJ.M. HannahPeter GrantDinh Quang TruongKannappan PalaniappanSiddhartha MukhopadhyayAbhishek MidyaJayanta K. Ghosh
- Topics
- Video Coding and Compression Technologies (16 papers)Electric and Hybrid Vehicle Technologies (15 papers)Video Analysis and Summarization (13 papers)
- Journals
- Journal of Cleaner ProductionIEEE Transactions on Image ProcessingEnergy Conversion and Management
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Somnath Sengupta
89 papers receiving 845 citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 550
- Signal Processing 197
- Electrical and Electronic Engineering 144
- Automotive Engineering 131
- Media Technology 93
Countries citing papers authored by Somnath Sengupta
This map shows the geographic impact of Somnath Sengupta'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 Somnath Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Somnath Sengupta more than expected).
Fields of papers citing papers by Somnath Sengupta
This network shows the impact of papers produced by Somnath Sengupta. 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 Somnath Sengupta. The network helps show where Somnath Sengupta may publish in the future.
Co-authorship network of co-authors of Somnath Sengupta
This figure shows the co-authorship network connecting the top 25 collaborators of Somnath Sengupta. A scholar is included among the top collaborators of Somnath Sengupta 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 Somnath Sengupta. Somnath Sengupta 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 | 0 | |
| 3 | 24 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 56 | |
| 7 | 32 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 41 | |
| 16 | 34 | |
| 17 | Hidden Markov Model Based Structuring of Cricket Video Sequences Using Motion and Color Features. | 12 |
| 18 | 0 | |
| 19 | Seismic transmission tomography a configurative approach | 1 |
| 20 | Experimental approach to grain-size data interpretation | 5 |
About Somnath Sengupta
Somnath Sengupta is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Automotive Engineering, having authored 95 papers that have together received 906 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (16 papers), Electric and Hybrid Vehicle Technologies (15 papers) and Video Analysis and Summarization (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (550 citations), Signal Processing (197 citations) and Automotive Engineering (131 citations). Somnath Sengupta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Maheshkumar H. Kolekar, J.M. Hannah, Peter Grant, Dinh Quang Truong, Kannappan Palaniappan, Siddhartha Mukhopadhyay, Abhishek Midya, Jayanta K. Ghosh, B. S. Mazumder and Satish Sinha. Their work appears in journals such as Journal of Cleaner Production, IEEE Transactions on Image Processing and Energy Conversion and Management.
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.