Sanjay Kumar
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies
Papers in
-
- Advanced Neural Network Applications 9
- Medical Image Segmentation Techniques 7
- Neurology 15
- Brain Tumor Detection and Classification 15
- Co-authors
- D. Goldgof (3 shared papers)R. D. Singh (3 shared papers)Chandranath Chatterjee (3 shared papers)A. K. Lohani (3 shared papers)Rakesh Kumar (3 shared papers)J. Singh (6 shared papers)Ashish Negi (3 shared papers)C. Martin (4 shared papers)
- Journals
- Water Resources Management (2 papers)Physical Communication (1 paper)Transactions of the IMF (1 paper)Journal of Porous Materials (1 paper)Materials Characterization (1 paper)
- Partner nations
- IndiaUnited StatesRomania
In The Last Decade
Sanjay Kumar
76 papers receiving 802 citations
Peers
Comparison fields: 5 of 111
- Neurology 97
- Water Science and Technology 156
- Computer Vision and Pattern Recognition 202
- Global and Planetary Change 130
- Soil Science 49
Countries citing papers authored by Sanjay Kumar
This map shows the geographic impact of Sanjay 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 Sanjay Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Kumar more than expected).
Fields of papers citing papers by Sanjay Kumar
This network shows the impact of papers produced by Sanjay 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 Sanjay Kumar. The network helps show where Sanjay Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanjay 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 95 | |
| 2 | 2007 | 84 | |
| 3 | 1995 | 51 | |
| 4 | 2002 | 43 | |
| 5 | 2018 | 38 | |
| 6 | 2023 | 31 | |
| 7 | 2013 | 31 | |
| 8 | 2012 | 27 | |
| 9 | 2011 | 26 | |
| 10 | 2018 | 26 | |
| 11 | 2022 | 24 | |
| 12 | 2022 | 24 | |
| 13 | 2004 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2012 | 21 | |
| 16 | 2018 | 21 | |
| 17 | 2023 | 18 | |
| 18 | 2012 | 18 | |
| 19 | 2022 | 16 | |
| 20 | 2015 | 14 |
About Sanjay Kumar
Sanjay Kumar is a scholar working on Computer Vision and Pattern Recognition, Neurology, Information Systems, Materials Chemistry and Artificial Intelligence, having authored 88 papers that have together received 875 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (15 papers), Advanced Neural Network Applications (9 papers), Medical Image Segmentation Techniques (7 papers), Copper-based nanomaterials and applications (6 papers), Hydrology and Watershed Management Studies (5 papers), ZnO doping and properties (5 papers), Flood Risk Assessment and Management (4 papers) and Blockchain Technology Applications and Security (4 papers). The work is most often cited by research in Neurology (97 citations), Water Science and Technology (156 citations), Computer Vision and Pattern Recognition (202 citations), Global and Planetary Change (130 citations) and Soil Science (49 citations). Sanjay Kumar has collaborated with scholars based in India, United States and Romania. Frequent co-authors include D. Goldgof, R. D. Singh, Chandranath Chatterjee, A. K. Lohani, Rakesh Kumar, J. Singh, Ashish Negi, C. Martin, M. Miclau and Song Han. Their work appears in journals such as Water Resources Management, Physical Communication, Transactions of the IMF, Journal of Porous Materials and Materials Characterization.
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.