Arijit Patra
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Computational Drug Discovery Methods
Papers in
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- Domain Adaptation and Few-Shot Learning 6
- Machine Learning in Healthcare 1
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- Digital Imaging for Blood Diseases 1
- Generative Adversarial Networks and Image Synthesis 1
- Medical Image Segmentation Techniques 1
- Co-authors
- Julia Alison Noble (8 shared papers)Paul Leeson (3 shared papers)Ross Upton (1 shared paper)Weilin Huang (1 shared paper)Aris T. Papageorghiou (2 shared papers)Yifan Cai (2 shared papers)Pierre Chatelain (2 shared papers)Lior Drukker (2 shared papers)
- Journals
- Drug Discovery Today (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)IEEE Transactions on Multimedia (1 paper)Chemical Research in Toxicology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
Arijit Patra
17 papers receiving 246 citations
Arijit Patra's Hit Papers
Peers
Comparison fields: 5 of 31
- Health Informatics 31
- Computational Theory and Mathematics 45
- Artificial Intelligence 57
- Computer Vision and Pattern Recognition 20
- Radiology, Nuclear Medicine and Imaging 8
Countries citing papers authored by Arijit Patra
This map shows the geographic impact of Arijit Patra'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 Arijit Patra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arijit Patra more than expected).
Fields of papers citing papers by Arijit Patra
This network shows the impact of papers produced by Arijit Patra. 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 Arijit Patra. The network helps show where Arijit Patra may publish in the future.
Co-authors
The 24 scholars most cited alongside Arijit Patra, 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 | Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World Hit paper breakdown → | 2025 | 70 |
| 2 | 2018 | 33 | |
| 3 | 2020 | 21 | |
| 4 | 2020 | 18 | |
| 5 | 2017 | 16 | |
| 6 | 2019 | 16 | |
| 7 | 2018 | 15 | |
| 8 | 2019 | 14 | |
| 9 | 2025 | 13 | |
| 10 | 2020 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2018 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2026 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2025 | 0 |
About Arijit Patra
Arijit Patra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 18 papers that have together received 252 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Computational Drug Discovery Methods (2 papers), Digital Imaging for Blood Diseases (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Medical Image Segmentation Techniques (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Health Informatics (31 citations), Computational Theory and Mathematics (45 citations), Artificial Intelligence (57 citations), Computer Vision and Pattern Recognition (20 citations) and Radiology, Nuclear Medicine and Imaging (8 citations). Arijit Patra has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Julia Alison Noble, Paul Leeson, Ross Upton, Weilin Huang, Aris T. Papageorghiou, Yifan Cai, Pierre Chatelain, Lior Drukker, Harshita Sharma and Tapabrata Chakraborti. Their work appears in journals such as Drug Discovery Today, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Multimedia, Chemical Research in Toxicology and Scientific Reports.
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.