Devansh Jain
Impact in
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- Image and Video Stabilization
- Multimodal Machine Learning Applications
Papers in
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- Image and Video Stabilization 1
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- Parallel Computing and Optimization Techniques 2
- Co-authors
- Ajit V. Rajwade (1 shared paper)Luis Espinosa-Anke (1 shared paper)Phitchaya Mangpo Phothilimthana (1 shared paper)Yueming Yuan (1 shared paper)Yanqi Zhou (1 shared paper)Mohsen Lesani (1 shared paper)Rastislav Bodík (1 shared paper)Amit Sabne (1 shared paper)
- Journals
- Proceedings of the ACM on Programming Languages (2 papers)Solar Physics (1 paper)Lecture notes in mechanical engineering (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
7 papers receiving 42 citations
Peers
Comparison fields: 5 of 19
- Health Informatics 3
- Computer Vision and Pattern Recognition 23
- Artificial Intelligence 23
- Media Technology 5
- Radiology, Nuclear Medicine and Imaging 9
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 | 21 | |
| 2 | 2023 | 14 | |
| 3 | 2022 | 4 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 1 |
About Devansh Jain
Devansh Jain is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Human-Computer Interaction, Information Systems and Management and Artificial Intelligence, having authored 7 papers that have together received 44 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (2 papers), Topic Modeling (2 papers), Text and Document Classification Technologies (1 paper), Solar and Space Plasma Dynamics (1 paper), Medical Imaging Techniques and Applications (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Natural Language Processing Techniques (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 (23 citations), Artificial Intelligence (23 citations), Media Technology (5 citations) and Radiology, Nuclear Medicine and Imaging (9 citations). Devansh Jain has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Ajit V. Rajwade, Luis Espinosa-Anke, Phitchaya Mangpo Phothilimthana, Yueming Yuan, Yanqi Zhou, Mohsen Lesani, Rastislav Bodík, Amit Sabne and Charith Mendis. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Solar Physics, Lecture notes in mechanical engineering 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.