Sandeep Kumar Mathivanan
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
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- Artificial Intelligence in Healthcare
Papers in
-
- AI in cancer detection 13
- Machine Learning and ELM 4
-
- Advanced Neural Network Applications 12
- Digital Imaging for Blood Diseases 7
- Co-authors
- Prabhu Jayagopal (47 shared papers)Saravanan Srinivasan (20 shared papers)Hariharan Rajadurai (14 shared papers)Mohd Asif Shah (13 shared papers)Basu Dev Shivahare (7 shared papers)V E Sathishkumar (9 shared papers)V. Muthukumaran (9 shared papers)Saurav Mallik (16 shared papers)
- Journals
- Scientific Reports (14 papers)IEEE Access (4 papers)Computational Intelligence and Neuroscience (3 papers)BMC Plant Biology (3 papers)PLoS ONE (3 papers)
- Partner nations
- IndiaUnited StatesEthiopia
In The Last Decade
Sandeep Kumar Mathivanan
80 papers receiving 897 citations
Sandeep Kumar Mathivanan's Hit Papers
Peers
Comparison fields: 5 of 112
- Neurology 272
- Health Information Management 62
- Computer Vision and Pattern Recognition 244
- Health Informatics 16
- Artificial Intelligence 310
Countries citing papers authored by Sandeep Kumar Mathivanan
This map shows the geographic impact of Sandeep Kumar Mathivanan'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 Sandeep Kumar Mathivanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Kumar Mathivanan more than expected).
Fields of papers citing papers by Sandeep Kumar Mathivanan
This network shows the impact of papers produced by Sandeep Kumar Mathivanan. 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 Sandeep Kumar Mathivanan. The network helps show where Sandeep Kumar Mathivanan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandeep Kumar Mathivanan, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Employing deep learning and transfer learning for accurate brain tumor detection Hit paper breakdown → | 2024 | 65 |
| 2 | 2023 | 53 | |
| 3 | A hybrid deep CNN model for brain tumor image multi-classification Hit paper breakdown → | 2024 | 51 |
| 4 | 2022 | 46 | |
| 5 | 2023 | 41 | |
| 6 | 2023 | 35 | |
| 7 | 2023 | 34 | |
| 8 | 2023 | 33 | |
| 9 | 2024 | 32 | |
| 10 | 2024 | 32 | |
| 11 | 2021 | 26 | |
| 12 | 2023 | 25 | |
| 13 | 2022 | 20 | |
| 14 | 2023 | 20 | |
| 15 | 2022 | 18 | |
| 16 | 2024 | 17 | |
| 17 | 2023 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2024 | 14 | |
| 20 | 2023 | 14 |
About Sandeep Kumar Mathivanan
Sandeep Kumar Mathivanan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Neurology, Radiology, Nuclear Medicine and Imaging and Plant Science, having authored 99 papers that have together received 929 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (15 papers), AI in cancer detection (13 papers), Advanced Neural Network Applications (12 papers), Smart Agriculture and AI (11 papers), COVID-19 diagnosis using AI (10 papers), Digital Imaging for Blood Diseases (7 papers), Artificial Intelligence in Healthcare (6 papers) and Machine Learning and ELM (4 papers). The work is most often cited by research in Neurology (272 citations), Health Information Management (62 citations), Computer Vision and Pattern Recognition (244 citations), Health Informatics (16 citations) and Artificial Intelligence (310 citations). Sandeep Kumar Mathivanan has collaborated with scholars based in India, United States and Ethiopia. Frequent co-authors include Prabhu Jayagopal, Saravanan Srinivasan, Hariharan Rajadurai, Mohd Asif Shah, Basu Dev Shivahare, V E Sathishkumar, V. Muthukumaran, Saurav Mallik, J. Chinna Babu and Hong Qin. Their work appears in journals such as Scientific Reports, IEEE Access, Computational Intelligence and Neuroscience, BMC Plant Biology and PLoS ONE.
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.