Kumar Ayush
Impact in
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- Generative Adversarial Networks and Image Synthesis
Papers in
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- Generative Adversarial Networks and Image Synthesis 4
- Image and Video Quality Assessment 3
- Image Enhancement Techniques 2
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- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Prabir Kumar Biswas (1 shared paper)Pabitra Mitra (1 shared paper)Balaji Krishnamurthy (4 shared papers)Ayush Chopra (4 shared papers)Burak Uzkent (3 shared papers)Tarak K. Patra (3 shared papers)Abhishek Seth (1 shared paper)Stefano Ermon (3 shared papers)
- Journals
- Soft Matter (2 papers)The Journal of Physical Chemistry C (1 paper)Physical Chemistry Chemical Physics (1 paper)Physical review. B. (1 paper)Journal of Emerging Technologies and Innovative Research (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Kumar Ayush
23 papers receiving 208 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 85
- Ophthalmology 17
- Computer Graphics and Computer-Aided Design 6
- Radiology, Nuclear Medicine and Imaging 34
- Media Technology 11
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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 49 | |
| 2 | 2020 | 27 | |
| 3 | 2021 | 24 | |
| 4 | 2023 | 17 | |
| 5 | 2017 | 13 | |
| 6 | 2019 | 13 | |
| 7 | 2019 | 11 | |
| 8 | 2022 | 11 | |
| 9 | 2020 | 8 | |
| 10 | 2017 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2013 | 6 | |
| 13 | 2019 | 4 | |
| 14 | 2019 | 3 | |
| 15 | Traffic Light Control System Using Image Processing | 2021 | 2 |
| 16 | 2023 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2021 | 1 |
About Kumar Ayush
Kumar Ayush is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Materials Chemistry, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 26 papers that have together received 214 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (4 papers), Image and Video Quality Assessment (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Perovskite Materials and Applications (2 papers), Recommender Systems and Techniques (2 papers), Chalcogenide Semiconductor Thin Films (2 papers), Image Enhancement Techniques (2 papers) and Solid-state spectroscopy and crystallography (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (85 citations), Ophthalmology (17 citations), Computer Graphics and Computer-Aided Design (6 citations), Radiology, Nuclear Medicine and Imaging (34 citations) and Media Technology (11 citations). Kumar Ayush has collaborated with scholars based in India and United States. Frequent co-authors include Prabir Kumar Biswas, Pabitra Mitra, Balaji Krishnamurthy, Ayush Chopra, Burak Uzkent, Tarak K. Patra, Abhishek Seth, Stefano Ermon, Dinesh Kabra and Nakul Jain. Their work appears in journals such as Soft Matter, The Journal of Physical Chemistry C, Physical Chemistry Chemical Physics, Physical review. B. and Journal of Emerging Technologies and Innovative Research.
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.