Sunando Sengupta
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Robotic Path Planning Algorithms
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in ⓘ
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- Advanced Vision and Imaging 6
- Advanced Image and Video Retrieval Techniques 4
- Face and Expression Recognition 1
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- Robotics and Sensor-Based Localization 3
- Co-authors
- Philip H. S. Torr (3 shared papers)Paul Sturgess (5 shared papers)Ali Shahrokni (2 shared papers)Ľubor Ladický (3 shared papers)Yalın Baştanlar (2 shared papers)William F. Clocksin (2 shared papers)Chris Russell (2 shared papers)Jonathan Warrell (1 shared paper)
- Journals
- International Journal of Computer Vision (1 paper)Radar (Oxford Brookes University) (1 paper)University of Hertfordshire Research Archive (University of Hertfordshire) (1 paper)
- Partner nations
- United KingdomIndiaTürkiye
In The Last Decade
Sunando Sengupta
10 papers receiving 397 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 333
- Geology 69
- Aerospace Engineering 232
- Environmental Engineering 90
- Computer Graphics and Computer-Aided Design 12
Countries citing papers authored by Sunando Sengupta
This map shows the geographic impact of Sunando 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 Sunando Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunando Sengupta more than expected).
Fields of papers citing papers by Sunando Sengupta
This network shows the impact of papers produced by Sunando 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 Sunando Sengupta. The network helps show where Sunando Sengupta may publish in the future.
Co-authors
The 16 scholars most cited alongside Sunando Sengupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 103 | |
| 2 | 2011 | 77 | |
| 3 | 2013 | 75 | |
| 4 | 2012 | 60 | |
| 5 | 2015 | 42 | |
| 6 | 2010 | 32 | |
| 7 | 2012 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 5 | |
| 10 | 2008 | 1 |
About Sunando Sengupta
Sunando Sengupta is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Media Technology, Environmental Engineering and Ocean Engineering, having authored 10 papers that have together received 409 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Robotics and Sensor-Based Localization (3 papers), Remote Sensing and LiDAR Applications (2 papers), Image Processing Techniques and Applications (2 papers), Speech and Audio Processing (1 paper), Face and Expression Recognition (1 paper) and Automated Road and Building Extraction (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (333 citations), Geology (69 citations), Aerospace Engineering (232 citations), Environmental Engineering (90 citations) and Computer Graphics and Computer-Aided Design (12 citations). Sunando Sengupta has collaborated with scholars based in United Kingdom, India and Türkiye. Frequent co-authors include Philip H. S. Torr, Paul Sturgess, Ali Shahrokni, Ľubor Ladický, Yalın Baştanlar, William F. Clocksin, Chris Russell, Jonathan Warrell, Philip H. S. Torr and Philip Torr. Their work appears in journals such as International Journal of Computer Vision, Radar (Oxford Brookes University) and University of Hertfordshire Research Archive (University of Hertfordshire).
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.