Sumit Kumar
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
Papers in
-
- Image Retrieval and Classification Techniques 11
- Advanced Image and Video Retrieval Techniques 10
- Digital Imaging for Blood Diseases 8
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- Neurogenesis and neuroplasticity mechanisms 9
- Co-authors
- Jean de Vellis (14 shared papers)Shallu Sharma (12 shared papers)Ruth Cole (2 shared papers)Sheila A. Scully (5 shared papers)Ashish Kalkal (3 shared papers)Saurabh Kumar (2 shared papers)Gopinath Packirisamy (2 shared papers)Rachel Yoon Kyung Chang (3 shared papers)
- Journals
- ACS Omega (3 papers)Optik (3 papers)Multimedia Tools and Applications (3 papers)Developmental Neuroscience (2 papers)ICT Express (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Sumit Kumar
78 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 141
- Developmental Neuroscience 278
- Neurology 176
- Cellular and Molecular Neuroscience 265
- Radiology, Nuclear Medicine and Imaging 258
- Behavioral Neuroscience 34
Countries citing papers authored by Sumit Kumar
This map shows the geographic impact of Sumit 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 Sumit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Kumar more than expected).
Fields of papers citing papers by Sumit Kumar
This network shows the impact of papers produced by Sumit 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 Sumit Kumar. The network helps show where Sumit Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 188 | |
| 2 | 2020 | 133 | |
| 3 | 2021 | 103 | |
| 4 | 1989 | 99 | |
| 5 | 1999 | 91 | |
| 6 | 2021 | 84 | |
| 7 | 1999 | 82 | |
| 8 | 1990 | 76 | |
| 9 | 2018 | 71 | |
| 10 | 1986 | 65 | |
| 11 | 1990 | 61 | |
| 12 | 2002 | 47 | |
| 13 | 2012 | 44 | |
| 14 | 2018 | 40 | |
| 15 | 1980 | 34 | |
| 16 | 1985 | 32 | |
| 17 | 1996 | 30 | |
| 18 | 2020 | 28 | |
| 19 | 1988 | 25 | |
| 20 | 2021 | 23 |
About Sumit Kumar
Sumit Kumar is a scholar working on Computer Vision and Pattern Recognition, Developmental Neuroscience, Neurology, Electronic, Optical and Magnetic Materials and Radiology, Nuclear Medicine and Imaging, having authored 85 papers that have together received 1.9k indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Image Retrieval and Classification Techniques (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Digital Imaging for Blood Diseases (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Brain Tumor Detection and Classification (6 papers) and Magnetic and transport properties of perovskites and related materials (6 papers). The work is most often cited by research in Developmental Neuroscience (278 citations), Neurology (176 citations), Cellular and Molecular Neuroscience (265 citations), Radiology, Nuclear Medicine and Imaging (258 citations) and Behavioral Neuroscience (34 citations). Sumit Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Jean de Vellis, Shallu Sharma, Ruth Cole, Sheila A. Scully, Ashish Kalkal, Saurabh Kumar, Gopinath Packirisamy, Rachel Yoon Kyung Chang, Davinder Singh Rathee and Paramjit Singh. Their work appears in journals such as ACS Omega, Optik, Multimedia Tools and Applications, Developmental Neuroscience and ICT Express.
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.