Sanjay Kumar
Impact in
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies
-
- Medical Image Segmentation Techniques
Papers in
-
- Advanced Neural Network Applications 5
- Advanced Vision and Imaging 4
- Medical Image Segmentation Techniques 4
-
- Cloud Computing and Resource Management 4
- Co-authors
- D. Goldgof (3 shared papers)Chandranath Chatterjee (3 shared papers)Rakesh Kumar (3 shared papers)R. D. Singh (3 shared papers)A. K. Lohani (3 shared papers)C. Martin (4 shared papers)M. Miclau (2 shared papers)J. Singh (3 shared papers)
- Journals
- Water Resources Management (2 papers)Scientific Reports (1 paper)Journal of Nanoparticle Research (1 paper)Chemistry of Materials (1 paper)Hydrological Processes (1 paper)
- Partner nations
- IndiaUnited StatesRomania
In The Last Decade
Sanjay Kumar
64 papers receiving 669 citations
Peers
Comparison fields: 5 of 109
- Water Science and Technology 149
- Computer Vision and Pattern Recognition 149
- Neurology 56
- Global and Planetary Change 125
- Soil Science 47
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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 82 | |
| 2 | 1994 | 82 | |
| 3 | 1995 | 46 | |
| 4 | 2002 | 42 | |
| 5 | 2013 | 30 | |
| 6 | 2018 | 29 | |
| 7 | 2023 | 27 | |
| 8 | 2012 | 27 | |
| 9 | 2011 | 25 | |
| 10 | 2022 | 22 | |
| 11 | 2004 | 22 | |
| 12 | 2012 | 21 | |
| 13 | 2022 | 21 | |
| 14 | 2018 | 17 | |
| 15 | 2012 | 17 | |
| 16 | 2020 | 17 | |
| 17 | 2023 | 15 | |
| 18 | 2022 | 15 | |
| 19 | 2020 | 11 | |
| 20 | 2022 | 10 |
About Sanjay Kumar
Sanjay Kumar is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Neurology, Materials Chemistry and Electrical and Electronic Engineering, having authored 79 papers that have together received 732 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (11 papers), Copper-based nanomaterials and applications (6 papers), Advanced Neural Network Applications (5 papers), Hydrology and Watershed Management Studies (5 papers), ZnO doping and properties (5 papers), Cloud Computing and Resource Management (4 papers), Advanced Vision and Imaging (4 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Water Science and Technology (149 citations), Computer Vision and Pattern Recognition (149 citations), Neurology (56 citations), Global and Planetary Change (125 citations) and Soil Science (47 citations). Sanjay Kumar has collaborated with scholars based in India, United States and Romania. Frequent co-authors include D. Goldgof, Chandranath Chatterjee, Rakesh Kumar, R. D. Singh, A. K. Lohani, C. Martin, M. Miclau, J. Singh, Kevin W. Bowyer and Dmitry B. Goldgof. Their work appears in journals such as Water Resources Management, Scientific Reports, Journal of Nanoparticle Research, Chemistry of Materials and Hydrological Processes.
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.