Nitin Singhal
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- AI in cancer detection 15
- Domain Adaptation and Few-Shot Learning 2
-
- Parallel Computing and Optimization Techniques 7
- Co-authors
- Sungdae Cho (5 shared papers)In Kyu Park (4 shared papers)Chris Kim (1 shared paper)Chang‐Su Kim (2 shared papers)Sang-Uk Lee (2 shared papers)Young-Yoon Lee (2 shared papers)Hariharan Ravishankar (1 shared paper)Vivek Vaidya (1 shared paper)
- Journals
- Modern Pathology (2 papers)Journal of Visual Communication and Image Representation (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)Scientific Reports (1 paper)European Urology Oncology (1 paper)
- Partner nations
- South KoreaIndiaUnited States
In The Last Decade
Nitin Singhal
34 papers receiving 541 citations
Peers
Comparison fields: 5 of 59
- Health Informatics 37
- Hardware and Architecture 95
- Computer Vision and Pattern Recognition 184
- Artificial Intelligence 171
- Radiology, Nuclear Medicine and Imaging 86
Countries citing papers authored by Nitin Singhal
This map shows the geographic impact of Nitin Singhal'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 Nitin Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitin Singhal more than expected).
Fields of papers citing papers by Nitin Singhal
This network shows the impact of papers produced by Nitin Singhal. 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 Nitin Singhal. The network helps show where Nitin Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Nitin Singhal, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 110 | |
| 2 | 2022 | 66 | |
| 3 | 2022 | 54 | |
| 4 | 2016 | 43 | |
| 5 | 2009 | 42 | |
| 6 | 2010 | 34 | |
| 7 | 2023 | 24 | |
| 8 | 2020 | 21 | |
| 9 | 2020 | 19 | |
| 10 | 2024 | 19 | |
| 11 | 2017 | 17 | |
| 12 | 2007 | 13 | |
| 13 | 2012 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2022 | 9 | |
| 17 | 2024 | 9 | |
| 18 | 2010 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2010 | 6 |
About Nitin Singhal
Nitin Singhal is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 572 indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Parallel Computing and Optimization Techniques (7 papers), Medical Image Segmentation Techniques (6 papers), Computer Graphics and Visualization Techniques (3 papers), Retinal Imaging and Analysis (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (2 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Health Informatics (37 citations), Hardware and Architecture (95 citations), Computer Vision and Pattern Recognition (184 citations), Artificial Intelligence (171 citations) and Radiology, Nuclear Medicine and Imaging (86 citations). Nitin Singhal has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Sungdae Cho, In Kyu Park, Chris Kim, In Kyu Park, Chang‐Su Kim, Sang-Uk Lee, Young-Yoon Lee, Hariharan Ravishankar, Vivek Vaidya and Ravi M. Kamble. Their work appears in journals such as Modern Pathology, Journal of Visual Communication and Image Representation, IEEE Transactions on Parallel and Distributed Systems, Scientific Reports and European Urology Oncology.
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.