Kumar Ayush
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
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- Visual Attention and Saliency Detection
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
Papers in
-
- Generative Adversarial Networks and Image Synthesis 3
- Multimodal Machine Learning Applications 2
- Augmented Reality Applications 2
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- Remote-Sensing Image Classification 3
- Co-authors
- R. Venkatesh Babu (1 shared paper)Srinivas S S Kruthiventi (1 shared paper)Stefano Ermon (4 shared papers)Burak Uzkent (4 shared papers)Marshall Burke (3 shared papers)David B. Lobell (3 shared papers)Chenlin Meng (1 shared paper)Ayush Chopra (5 shared papers)
- Journals
- Nature Communications (1 paper)Science (1 paper)IEEE Transactions on Image Processing (1 paper)International Joint Conference on Artificial Intelligence (1 paper)Proceedings - International Conference on Image Processing (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Kumar Ayush
19 papers receiving 1.3k citations
Kumar Ayush's Hit Papers
Peers
Comparison fields: 5 of 104
- Media Technology 171
- Computer Vision and Pattern Recognition 435
- Aging 19
- Cellular and Molecular Neuroscience 162
- Health Informatics 14
Countries citing papers authored by Kumar Ayush
This map shows the geographic impact of Kumar Ayush'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 Kumar Ayush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Ayush more than expected).
Fields of papers citing papers by Kumar Ayush
This network shows the impact of papers produced by Kumar Ayush. 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 Kumar Ayush. The network helps show where Kumar Ayush may publish in the future.
Co-authors
The 25 scholars most cited alongside Kumar Ayush, 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 | Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly Hit paper breakdown → | 2022 | 479 |
| 2 | 2017 | 340 | |
| 3 | 2021 | 193 | |
| 4 | 2020 | 58 | |
| 5 | 2017 | 56 | |
| 6 | 2020 | 55 | |
| 7 | 2021 | 25 | |
| 8 | 2022 | 15 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2026 | 8 | |
| 14 | 2017 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2017 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2018 | 0 |
About Kumar Ayush
Kumar Ayush is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Information Systems and Health Informatics, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (3 papers), Recommender Systems and Techniques (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Impact of Light on Environment and Health (2 papers), Multimodal Machine Learning Applications (2 papers), Augmented Reality Applications (2 papers) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Media Technology (171 citations), Computer Vision and Pattern Recognition (435 citations), Aging (19 citations), Cellular and Molecular Neuroscience (162 citations) and Health Informatics (14 citations). Kumar Ayush has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include R. Venkatesh Babu, Srinivas S S Kruthiventi, Stefano Ermon, Burak Uzkent, Marshall Burke, David B. Lobell, Chenlin Meng, Ayush Chopra, Balaji Krishnamurthy and Avisek Lahiri. Their work appears in journals such as Nature Communications, Science, IEEE Transactions on Image Processing, International Joint Conference on Artificial Intelligence and Proceedings - International Conference on Image Processing.
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.