Sandeep Kumar Mathivanan
- Artificial Intelligence top 5%
- Neurology top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Co-authors
- Prabhu JayagopalSaravanan SrinivasanHariharan RajaduraiMohd Asif ShahBasu Dev ShivahareV E SathishkumarV. MuthukumaranSaurav Mallik
- Topics
- Brain Tumor Detection and Classification (15 papers)AI in cancer detection (13 papers)Advanced Neural Network Applications (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- IndiaUnited StatesEthiopia
In The Last Decade
Sandeep Kumar Mathivanan
80 papers receiving 897 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 310
- Neurology 272
- Computer Vision and Pattern Recognition 244
- Radiology, Nuclear Medicine and Imaging 216
- Biomedical Engineering 69
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-authorship network of co-authors of Sandeep Kumar Mathivanan
This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Kumar Mathivanan. A scholar is included among the top collaborators of Sandeep Kumar Mathivanan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sandeep Kumar Mathivanan. Sandeep Kumar Mathivanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 17 | |
| 7 | 9 | |
| 8 | 32 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 34 | |
| 12 | 2 | |
| 13 | 25 | |
| 14 | 12 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 46 | |
| 19 | 20 | |
| 20 | 26 |
About Sandeep Kumar Mathivanan
Sandeep Kumar Mathivanan is a scholar working on Neurology, Computer Vision and Pattern Recognition and Health Information Management, 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) and Advanced Neural Network Applications (12 papers). The work is most often cited by research in Neurology (272 citations), Health Information Management (62 citations) and Computer Vision and Pattern Recognition (244 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 SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.