Devansh Jain
Impact in
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- Image and Video Stabilization
- Multimodal Machine Learning Applications
Papers in
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- Optical measurement and interference techniques 1
- Advanced Vision and Imaging 1
- Image and Video Stabilization 1
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- Parallel Computing and Optimization Techniques 2
- Co-authors
- Ajit Rajwade (1 shared paper)Luis Espinosa-Anke (1 shared paper)Amit Sabne (1 shared paper)Phitchaya Mangpo Phothilimthana (1 shared paper)Yanqi Zhou (1 shared paper)Charith Mendis (2 shared papers)Yueming Yuan (1 shared paper)Mohsen Lesani (1 shared paper)
- Journals
- Proceedings of the ACM on Programming Languages (2 papers)Solar Physics (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Devansh Jain
5 papers receiving 35 citations
Peers
Comparison fields: 5 of 16
- Health Informatics 3
- Computer Vision and Pattern Recognition 18
- Artificial Intelligence 20
- Radiology, Nuclear Medicine and Imaging 8
- Media Technology 2
Countries citing papers authored by Devansh Jain
This map shows the geographic impact of Devansh Jain'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 Devansh Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devansh Jain more than expected).
Fields of papers citing papers by Devansh Jain
This network shows the impact of papers produced by Devansh Jain. 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 Devansh Jain. The network helps show where Devansh Jain may publish in the future.
Co-authors
The 9 scholars most cited alongside Devansh Jain, 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 | 2021 | 19 | |
| 2 | 2023 | 10 | |
| 3 | 2022 | 5 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2025 | 0 |
About Devansh Jain
Devansh Jain is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications and Astronomy and Astrophysics, having authored 6 papers that have together received 36 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Parallel Computing and Optimization Techniques (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Software System Performance and Reliability (1 paper), Optical measurement and interference techniques (1 paper), Advanced Vision and Imaging (1 paper), Medical Imaging Techniques and Applications (1 paper) and Image and Video Stabilization (1 paper). The work is most often cited by research in Health Informatics (3 citations), Computer Vision and Pattern Recognition (18 citations), Artificial Intelligence (20 citations), Radiology, Nuclear Medicine and Imaging (8 citations) and Media Technology (2 citations). Devansh Jain has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Ajit Rajwade, Luis Espinosa-Anke, Amit Sabne, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Charith Mendis, Yueming Yuan, Mohsen Lesani and Rastislav Bodík. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Solar Physics and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.