Sumit Kumar

2.3k total citations
69 papers, 1.6k citations indexed

About

Sumit Kumar is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Sumit Kumar has authored 69 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Materials Chemistry and 14 papers in Molecular Biology. Recurrent topics in Sumit Kumar's work include AI in cancer detection (10 papers), Image Retrieval and Classification Techniques (8 papers) and Neurogenesis and neuroplasticity mechanisms (8 papers). Sumit Kumar is often cited by papers focused on AI in cancer detection (10 papers), Image Retrieval and Classification Techniques (8 papers) and Neurogenesis and neuroplasticity mechanisms (8 papers). Sumit Kumar collaborates with scholars based in India, United States and Malaysia. Sumit Kumar's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Applied Physics Letters.

In The Last Decade

Sumit Kumar

68 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sumit Kumar India 21 462 279 260 253 223 69 1.6k
Jingzhong Zhang China 25 476 1.0× 165 0.6× 104 0.4× 172 0.7× 189 0.8× 115 1.7k
Jong Kuk Kim South Korea 21 242 0.5× 82 0.3× 92 0.4× 468 1.8× 121 0.5× 100 1.5k
Aifeng Zhang China 29 752 1.6× 266 1.0× 298 1.1× 637 2.5× 42 0.2× 118 3.1k
Zhong Yang China 22 564 1.2× 430 1.5× 65 0.3× 158 0.6× 27 0.1× 101 1.8k
Hyunsu Lee South Korea 19 375 0.8× 200 0.7× 56 0.2× 142 0.6× 119 0.5× 69 1.6k
Mohit Neema United States 24 315 0.7× 205 0.7× 89 0.3× 83 0.3× 34 0.2× 42 1.9k
Jane Synnergren Sweden 22 877 1.9× 314 1.1× 41 0.2× 123 0.5× 124 0.6× 58 1.7k
Yizhe Zhang China 21 417 0.9× 155 0.6× 27 0.1× 49 0.2× 66 0.3× 49 1.5k
Eugene Kim United States 26 670 1.5× 278 1.0× 31 0.1× 195 0.8× 24 0.1× 95 2.2k
Yajie Sun China 20 648 1.4× 342 1.2× 24 0.1× 183 0.7× 45 0.2× 86 1.7k

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-authorship network of co-authors of Sumit Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sumit Kumar. A scholar is included among the top collaborators of Sumit Kumar 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 Sumit Kumar. Sumit Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kumar, Sumit, et al.. (2023). Suppression of conductivity by 1 uc buffer layer at LAO/STO interface. Physica B Condensed Matter. 660. 414871–414871. 2 indexed citations
2.
Kumar, Sumit, et al.. (2023). Artificial tailoring of MI transition at LAO/STO interface with SrSnO3 buffer layer. Materials Chemistry and Physics. 311. 128513–128513. 2 indexed citations
3.
Sharma, Manoj, et al.. (2023). Medicinal plants recognition using heterogeneous leaf features: an intelligent approach. Multimedia Tools and Applications. 83(17). 51513–51540. 6 indexed citations
4.
5.
Kumar, Sumit, Raj Setia, & Kuldeep Singh. (2023). Artificial Intelligence and Machine Learning in Satellite Data Processing and Services. Lecture notes in electrical engineering. 6 indexed citations
6.
Kumaraswamy, Eelandula, Shallu Sharma, & Sumit Kumar. (2022). A review on cancer detection strategies with help of biomedical images using machine learning techniques. AIP conference proceedings. 2418. 30064–30064. 11 indexed citations
7.
Singh, Shiva, Sumit Kumar, & Subrata Kumar Ghosh. (2021). Development of a unique multi-layer perceptron neural architecture and mathematical model for predicting thermal conductivity of distilled water based nanofluids using experimental data. Colloids and Surfaces A Physicochemical and Engineering Aspects. 627. 127184–127184. 19 indexed citations
8.
Kumar, Sumit, et al.. (2020). A hybrid algorithm for lung cancer classification using SVM and Neural Networks. ICT Express. 7(3). 335–341. 112 indexed citations
9.
Mausam, Kuwar, et al.. (2020). Solicitation of nanoparticles/fluids in solar thermal energy harvesting: A review. Materials Today Proceedings. 26. 2289–2295. 13 indexed citations
10.
Kumar, Sumit, Biswarup Satpati, A. K. Shukla, et al.. (2020). LaScO3/SrTiO3: A conducting polar heterointerface of two 3d band insulating perovskites. Applied Physics Letters. 116(5). 15 indexed citations
11.
Kumar, Sumit, et al.. (2019). Application of Photoinduced Electron Transfer with Copper Nanoclusters toward Finding Characteristics of Protein Pockets. ACS Omega. 4(2). 2523–2532. 22 indexed citations
12.
Kumar, Amit, Jae‐Ho Hwang, Sumit Kumar, & Jwa‐Min Nam. (2012). Tuning and assembling metal nanostructures with DNA. Chemical Communications. 49(26). 2597–2597. 42 indexed citations
13.
Espinosa‐Jeffrey, Araceli, Sumit Kumar, Paul Zhao, et al.. (2002). Transferrin Regulates Transcription of the MBP Gene and Its Action Synergizes with IGF-1 to Enhance Myelinogenesis in the md Rat. Developmental Neuroscience. 24(2-3). 227–241. 46 indexed citations
14.
Monteros, A. Espinosa de los, Sumit Kumar, Pengcheng Zhao, et al.. (1999). Transferrin Is an Essential Factor for Myelination. Neurochemical Research. 24(2). 235–248. 79 indexed citations
15.
Yadav, M, et al.. (1996). HHV-6 antigen and viral DNA detected in cervical cells from archived tissue using histochemical staining and hybridization. Clinical and Diagnostic Virology. 7(1). 23–33. 17 indexed citations
16.
Kumar, Sumit & Jean de Vellis. (1996). Neurotrophin activates signal transduction in oligodendroglial cells: Expression of functionalTrkC receptor isoforms. Journal of Neuroscience Research. 44(5). 490–498. 28 indexed citations
17.
Gordon, Marcia N., Sumit Kumar, A. Espinosa de los Monteros, et al.. (1990). Developmental Regulation of Myelin-Associated Genes in the Normal and the Myelin Deficient Mutant Rat. Advances in experimental medicine and biology. 265. 11–22. 12 indexed citations
18.
Monteros, A. Espinosa de los, Sumit Kumar, Sheila Scully, R. Cole, & Jean de Vellis. (1990). Transferrin gene expression and secretion by rat brain cells in vitro. Journal of Neuroscience Research. 25(4). 576–580. 69 indexed citations
19.
Monteros, A. Espinosa de los, et al.. (1990). The <i>Myelin-Deficient</i>Rat Mutant: Partial Recovery of Oligodendrocyte Maturation in vitro. Developmental Neuroscience. 12(4-5). 326–339. 10 indexed citations
20.
Kumar, Sumit, E. Carmack Holmes, Sheila Scully, et al.. (1986). The hormonal regulation of gene expression of glial markers: Glutamine synthetase and glycerol phosphate dehydrogenase in primary cultures of rat brain and in C6 cell line. Journal of Neuroscience Research. 16(1). 251–264. 62 indexed citations

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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