S. Mohan Kumar
Impact in
- Equine top 10%
Papers in
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- Digital Imaging for Blood Diseases 9
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- AI in cancer detection 8
- Co-authors
- Leena Kumari (1 shared paper)B. Gopi (4 shared papers)Aparna Banerjee Dixit (1 shared paper)Vinod Sharma (1 shared paper)T. Kumanan (1 shared paper)M. Patricia George (1 shared paper)Somesh Gupta (1 shared paper)Sanjeev Gupta (1 shared paper)
In The Last Decade
S. Mohan Kumar
45 papers receiving 283 citations
Peers
Comparison fields: 5 of 110
- Equine 13
- Health Informatics 9
- Computer Networks and Communications 86
- Neurology 17
- Computer Vision and Pattern Recognition 37
Countries citing papers authored by S. Mohan Kumar
This map shows the geographic impact of S. Mohan Kumar'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 S. Mohan Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Mohan Kumar more than expected).
Fields of papers citing papers by S. Mohan Kumar
This network shows the impact of papers produced by S. Mohan Kumar. 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 S. Mohan Kumar. The network helps show where S. Mohan Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Mohan Kumar, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 70 | |
| 2 | 2020 | 49 | |
| 3 | 2016 | 20 | |
| 4 | Antifertility effects of Malvaviscus conzattii greenm flower extract (sc) on male albino mice. | 1980 | 17 |
| 5 | 1971 | 16 | |
| 6 | HF backscatter radar at the magnetic equator : System details and preliminary results | 2001 | 14 |
| 7 | 2021 | 10 | |
| 8 | 2019 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2016 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2015 | 6 | |
| 15 | 2023 | 6 | |
| 16 | The Performance Evaluation of the Breast Microcalcification CAD System Based on DWT, SNE AND SVM | 2013 | 5 |
| 17 | Importance of Manual Image Annotation Tools and Free Datasets for Medical Research | 2019 | 5 |
| 18 | 2023 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2020 | 5 |
About S. Mohan Kumar
S. Mohan Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Information Systems, having authored 57 papers that have together received 338 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (9 papers), AI in cancer detection (8 papers), Retinal Imaging and Analysis (7 papers), Glaucoma and retinal disorders (6 papers), Cutaneous Melanoma Detection and Management (5 papers), Brain Tumor Detection and Classification (5 papers), IoT and Edge/Fog Computing (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Equine (13 citations), Health Informatics (9 citations), Computer Networks and Communications (86 citations), Neurology (17 citations) and Computer Vision and Pattern Recognition (37 citations). S. Mohan Kumar has collaborated with scholars based in India, Spain and Germany. Frequent co-authors include Leena Kumari, B. Gopi, Aparna Banerjee Dixit, Vinod Sharma, T. Kumanan, M. Patricia George, Somesh Gupta, Sanjeev Gupta, M. Kavitha and B. Kalidasan. Their work appears in journals such as Annals of The Royal College of Surgeons of England, International Journal of Biometeorology, Reproduction, Journal of the European Academy of Dermatology and Venereology and Indian Journal of Science and Technology.
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.