Krish Shah
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
-
- Cutaneous Melanoma Detection and Management
Papers in
-
- Machine Learning in Healthcare 2
- Topic Modeling 2
- Adversarial Robustness in Machine Learning 1
-
- Digital Imaging for Blood Diseases 1
- Co-authors
- Manan Shah (1 shared paper)Christopher L. McDonald (1 shared paper)Alan H. Daniels (2 shared papers)Bassel G. Diebo (2 shared papers)Andrew Xu (3 shared papers)Sheshang Degadwala (1 shared paper)Mukund Deshpande (1 shared paper)Pali D. Shah (1 shared paper)
- Journals
- European Spine Journal (1 paper)Annals of Clinical and Translational Neurology (1 paper)Multimedia Tools and Applications (1 paper)Journal of Intelligent Information Systems (1 paper)Blood (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Krish Shah
17 papers receiving 167 citations
Peers
Comparison fields: 5 of 62
- Health Informatics 13
- Oncology 63
- Artificial Intelligence 68
- Neurology 10
- Computer Vision and Pattern Recognition 25
Countries citing papers authored by Krish Shah
This map shows the geographic impact of Krish Shah'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 Krish Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krish Shah more than expected).
Fields of papers citing papers by Krish Shah
This network shows the impact of papers produced by Krish Shah. 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 Krish Shah. The network helps show where Krish Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Krish Shah, 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 | 2022 | 77 | |
| 2 | 2024 | 27 | |
| 3 | 2021 | 17 | |
| 4 | 2018 | 16 | |
| 5 | 2025 | 9 | |
| 6 | 2020 | 8 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2021 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 0 |
About Krish Shah
Krish Shah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Communication, having authored 18 papers that have together received 174 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (3 papers), Machine Learning in Healthcare (2 papers), Topic Modeling (2 papers), Cancer Genomics and Diagnostics (1 paper), Digital Imaging for Blood Diseases (1 paper), Adversarial Robustness in Machine Learning (1 paper), Brain Tumor Detection and Classification (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Health Informatics (13 citations), Oncology (63 citations), Artificial Intelligence (68 citations), Neurology (10 citations) and Computer Vision and Pattern Recognition (25 citations). Krish Shah has collaborated with scholars based in United States, India and China. Frequent co-authors include Manan Shah, Christopher L. McDonald, Alan H. Daniels, Bassel G. Diebo, Andrew Xu, Sheshang Degadwala, Mukund Deshpande, Pali D. Shah, Maheshkumar H. Kolekar and Hetal Shah. Their work appears in journals such as European Spine Journal, Annals of Clinical and Translational Neurology, Multimedia Tools and Applications, Journal of Intelligent Information Systems and Blood.
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.