Sumit Kumar

2.3k citations
69 papers · 1.6k indexed · h-index 21

Impact in

Papers in

Sumit Kumar

68 papers receiving 1.6k citations

Peers

Sumit Kumar
Comparison fields: 5 of 139
  • Developmental Neuroscience 260
  • Neurology 157
  • Cellular and Molecular Neuroscience 253
  • Radiology, Nuclear Medicine and Imaging 221
  • Behavioral Neuroscience 32
Replace Aifeng Zhang with:
Aifeng Zhang China
Zhian Liu China
Zhong Yang China
Jingzhong Zhang China
Jaepyeong Cha United States
Xiaobin Wang China
Jie Bian China
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Inchan Youn South Korea
Eugene Kim United States
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Citations per field
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Citations per year

Countries citing papers authored by Sumit Kumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sumit Kumar Line = papers co-authored together Sumit Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021165
2 2020112
3 198996
4 202184
5 199983
6 199979
7 202176
8 199069
9 198662
10 199061
11 201857
12 200246
13 201242
14 201831
15 198031
16 198530
17 199628
18 202026
19 201922
20 198822

About Sumit Kumar

Sumit Kumar is a scholar working on Developmental Neuroscience, Computer Vision and Pattern Recognition, Neurology, Electronic, Optical and Magnetic Materials and Media Technology, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Image Retrieval and Classification Techniques (8 papers), Digital Imaging for Blood Diseases (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Conducting polymers and applications (5 papers) and Magnetic and transport properties of perovskites and related materials (5 papers). The work is most often cited by research in Developmental Neuroscience (260 citations), Neurology (157 citations), Cellular and Molecular Neuroscience (253 citations), Radiology, Nuclear Medicine and Imaging (221 citations) and Behavioral Neuroscience (32 citations). Sumit Kumar has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Jean de Vellis, Shallu Sharma, R. Cole, Sheila Scully, Ashish Kalkal, Saurabh Kumar, P. Gopinath, Rachel Yoon Kyung Chang, A. Espinosa de los Monteros and Francesco Chiappelli. Their work appears in journals such as ACS Omega, Optik, Multimedia Tools and Applications, Journal of Biological Chemistry and Developmental Neuroscience.

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.

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