Law Kumar Singh
Impact in
- Ophthalmology top 2%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
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- Artificial Intelligence in Healthcare
Papers in
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- Retinal Imaging and Analysis 21
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- Glaucoma and retinal disorders 16
- Retinal Diseases and Treatments 9
- Co-authors
- Munish Khanna (33 shared papers)Rekha Singh (16 shared papers)Shankar Thawkar (13 shared papers)Hitendra Garg (16 shared papers)Satish J. Sharma (1 shared paper)Robin Singh Bhadoria (1 shared paper)Deepak Gupta (1 shared paper)Ashish Khanna (1 shared paper)
- Journals
- Multimedia Tools and Applications (11 papers)Advances in Engineering Software (2 papers)Biomedical Signal Processing and Control (1 paper)Evolving Systems (1 paper)Soft Computing (1 paper)
- Partner nations
- IndiaGuyanaUnited Arab Emirates
In The Last Decade
Law Kumar Singh
41 papers receiving 910 citations
Peers
Comparison fields: 5 of 96
- Ophthalmology 212
- Health Information Management 98
- Radiology, Nuclear Medicine and Imaging 459
- Computer Vision and Pattern Recognition 278
- Neurology 89
Countries citing papers authored by Law Kumar Singh
This map shows the geographic impact of Law Kumar Singh'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 Law Kumar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Law Kumar Singh more than expected).
Fields of papers citing papers by Law Kumar Singh
This network shows the impact of papers produced by Law Kumar Singh. 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 Law Kumar Singh. The network helps show where Law Kumar Singh may publish in the future.
Co-authors
The 17 scholars most cited alongside Law Kumar Singh, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 90 | |
| 2 | 2023 | 52 | |
| 3 | 2022 | 52 | |
| 4 | 2021 | 49 | |
| 5 | 2022 | 47 | |
| 6 | 2023 | 45 | |
| 7 | 2023 | 42 | |
| 8 | 2022 | 34 | |
| 9 | 2023 | 34 | |
| 10 | 2023 | 33 | |
| 11 | 2021 | 33 | |
| 12 | 2024 | 33 | |
| 13 | 2021 | 31 | |
| 14 | 2022 | 30 | |
| 15 | 2023 | 29 | |
| 16 | 2023 | 28 | |
| 17 | 2022 | 28 | |
| 18 | 2024 | 27 | |
| 19 | 2024 | 25 | |
| 20 | 2020 | 25 |
About Law Kumar Singh
Law Kumar Singh is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, having authored 44 papers that have together received 942 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (21 papers), Glaucoma and retinal disorders (16 papers), Digital Imaging for Blood Diseases (11 papers), Retinal Diseases and Treatments (9 papers), AI in cancer detection (9 papers), Gene expression and cancer classification (7 papers), Artificial Intelligence in Healthcare (4 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Ophthalmology (212 citations), Health Information Management (98 citations), Radiology, Nuclear Medicine and Imaging (459 citations), Computer Vision and Pattern Recognition (278 citations) and Neurology (89 citations). Law Kumar Singh has collaborated with scholars based in India, Guyana and United Arab Emirates. Frequent co-authors include Munish Khanna, Rekha Singh, Shankar Thawkar, Hitendra Garg, Satish J. Sharma, Robin Singh Bhadoria, Deepak Gupta, Ashish Khanna, Gaurav Pandey and Himanshu Monga. Their work appears in journals such as Multimedia Tools and Applications, Advances in Engineering Software, Biomedical Signal Processing and Control, Evolving Systems and Soft Computing.
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.