Sugata Munshi
- Electrical and Electronic Engineering top 10%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Debangshu DeyAmitava ChatterjeeSaptarshi ChatterjeeBiswendu ChatterjeeS. ChakravortiBiswarup GangulySovan DalaiBiswajit Bhattacharyya
- Topics
- Sensor Technology and Measurement Systems (11 papers)Cutaneous Melanoma Detection and Management (10 papers)Advanced Sensor Technologies Research (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- IndiaUnited Kingdom
In The Last Decade
Sugata Munshi
65 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Electrical and Electronic Engineering 366
- Cognitive Neuroscience 311
- Artificial Intelligence 285
- Biomedical Engineering 265
- Computer Vision and Pattern Recognition 221
Countries citing papers authored by Sugata Munshi
This map shows the geographic impact of Sugata Munshi'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 Sugata Munshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sugata Munshi more than expected).
Fields of papers citing papers by Sugata Munshi
This network shows the impact of papers produced by Sugata Munshi. 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 Sugata Munshi. The network helps show where Sugata Munshi may publish in the future.
Co-authorship network of co-authors of Sugata Munshi
This figure shows the co-authorship network connecting the top 25 collaborators of Sugata Munshi. A scholar is included among the top collaborators of Sugata Munshi 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 Sugata Munshi. Sugata Munshi 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 | 13 | |
| 3 | 11 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 21 | |
| 8 | 21 | |
| 9 | 30 | |
| 10 | 14 | |
| 11 | 91 | |
| 12 | 1 | |
| 13 | A Log Amplifier Based Linearization Scheme for Thermocouples | 5 |
| 14 | 104 | |
| 15 | A New Intelligent Scheme for Simultaneous Cold Junction Compensation and Linearization of Thermocouples | 2 |
| 16 | 5 | |
| 17 | 6 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | 13 |
About Sugata Munshi
Sugata Munshi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sensor Technology and Measurement Systems (11 papers), Cutaneous Melanoma Detection and Management (10 papers) and Advanced Sensor Technologies Research (9 papers). The work is most often cited by research in Signal Processing (174 citations), Cognitive Neuroscience (311 citations) and Computer Vision and Pattern Recognition (221 citations). Sugata Munshi has collaborated with scholars based in India and United Kingdom. Frequent co-authors include Debangshu Dey, Amitava Chatterjee, Saptarshi Chatterjee, Biswendu Chatterjee, S. Chakravorti, Biswarup Ganguly, Sovan Dalai, Biswajit Bhattacharyya, Subrata Biswas and Sabyasachi Bandyopadhyay. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Intelligent Transportation Systems.
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.