Tanmay Gupta
Impact in
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- Computer Graphics and Visualization Techniques
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- Multimodal Machine Learning Applications
- Advanced Vision and Imaging
- Human Pose and Action Recognition
Papers in
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- Multimodal Machine Learning Applications 5
- Advanced Neural Network Applications 2
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- Infrastructure Maintenance and Monitoring 2
- Structural Engineering and Vibration Analysis 2
- Co-authors
- Aniruddha Kembhavi (4 shared papers)Derek Hoiem (4 shared papers)Daeyun Shin (1 shared paper)Jason Rock (1 shared paper)JunYoung Gwak (1 shared paper)Ashok Kumar Gupta (1 shared paper)Kevin J. Shih (1 shared paper)Saurabh Singh (1 shared paper)
- Journals
- Structures (1 paper)Soft Computing (1 paper)Journal of The Institution of Engineers (India) Series A (1 paper)Engineering Structures (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Tanmay Gupta
14 papers receiving 285 citations
Peers
Comparison fields: 5 of 55
- Computer Graphics and Computer-Aided Design 31
- Computer Vision and Pattern Recognition 168
- Geology 34
- Computational Mechanics 65
- Artificial Intelligence 88
Countries citing papers authored by Tanmay Gupta
This map shows the geographic impact of Tanmay Gupta'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 Tanmay Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanmay Gupta more than expected).
Fields of papers citing papers by Tanmay Gupta
This network shows the impact of papers produced by Tanmay Gupta. 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 Tanmay Gupta. The network helps show where Tanmay Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Tanmay Gupta, 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 | 2023 | 99 | |
| 2 | 2015 | 86 | |
| 3 | 2022 | 24 | |
| 4 | 2018 | 20 | |
| 5 | 2023 | 17 | |
| 6 | 2024 | 13 | |
| 7 | 2021 | 11 | |
| 8 | No-Frills Human-Object Interaction Detection: Factorization, Appearance and Layout Encodings, and Training Techniques. | 2018 | 6 |
| 9 | 2017 | 6 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2017 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2025 | 1 |
About Tanmay Gupta
Tanmay Gupta is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering, Artificial Intelligence, Sociology and Political Science and Aerospace Engineering, having authored 14 papers that have together received 293 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Infrastructure Maintenance and Monitoring (2 papers), Structural Behavior of Reinforced Concrete (2 papers), Disaster Management and Resilience (2 papers), Structural Engineering and Vibration Analysis (2 papers), Advanced Neural Network Applications (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (31 citations), Computer Vision and Pattern Recognition (168 citations), Geology (34 citations), Computational Mechanics (65 citations) and Artificial Intelligence (88 citations). Tanmay Gupta has collaborated with scholars based in United States and India. Frequent co-authors include Aniruddha Kembhavi, Derek Hoiem, Daeyun Shin, Jason Rock, JunYoung Gwak, Ashok Kumar Gupta, Kevin J. Shih, Saurabh Singh, Alexander G. Schwing and Luca Weihs. Their work appears in journals such as Structures, Soft Computing, Journal of The Institution of Engineers (India) Series A, Engineering Structures and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.