Krishna Kumar

1.9k total citations · 1 hit paper
81 papers, 1.3k citations indexed

About

Krishna Kumar is a scholar working on Plant Science, Computational Mechanics and Management, Monitoring, Policy and Law. According to data from OpenAlex, Krishna Kumar has authored 81 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 21 papers in Computational Mechanics and 17 papers in Management, Monitoring, Policy and Law. Recurrent topics in Krishna Kumar's work include Plant-Microbe Interactions and Immunity (17 papers), Landslides and related hazards (17 papers) and Fluid Dynamics Simulations and Interactions (13 papers). Krishna Kumar is often cited by papers focused on Plant-Microbe Interactions and Immunity (17 papers), Landslides and related hazards (17 papers) and Fluid Dynamics Simulations and Interactions (13 papers). Krishna Kumar collaborates with scholars based in United States, India and United Kingdom. Krishna Kumar's co-authors include Kenichi Soga, Natarajan Amaresan, Alba Yerro, Samila Bandara, Eduardo Alonso Pérez de Ágreda, Nooruddin Thajuddin, R. C. Srivastava, Jean‐Yves Delenne, Yong-Jin Choi and Joseph P. Vantassel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Krishna Kumar

73 papers receiving 1.2k citations

Hit Papers

Trends in large-deformation analysis of landslide mass mo... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krishna Kumar United States 19 424 383 348 320 165 81 1.3k
Guoqing Li China 19 274 0.6× 79 0.2× 144 0.4× 48 0.1× 228 1.4× 74 1.5k
Zhenping Zhang China 20 132 0.3× 23 0.1× 240 0.7× 231 0.7× 190 1.2× 74 1.1k
LI Yong-chi China 13 188 0.4× 55 0.1× 527 1.5× 188 0.6× 520 3.2× 57 1.1k
Benjamin Richard France 18 172 0.4× 52 0.1× 498 1.4× 18 0.1× 248 1.5× 61 939
F. Iacono Italy 16 230 0.5× 78 0.2× 402 1.2× 19 0.1× 27 0.2× 77 958
Jıanbo Feı China 12 68 0.2× 101 0.3× 207 0.6× 123 0.4× 54 0.3× 56 515
Junrong Zhang China 20 128 0.3× 6 0.0× 364 1.0× 540 1.7× 154 0.9× 73 1.2k
Lipeng Liu China 17 143 0.3× 11 0.0× 241 0.7× 40 0.1× 161 1.0× 90 1.1k
Xiaobo Zhang China 17 45 0.1× 17 0.0× 138 0.4× 74 0.2× 189 1.1× 53 1.4k
Paolo Croce Italy 15 72 0.2× 27 0.1× 666 1.9× 120 0.4× 61 0.4× 42 1.0k

Countries citing papers authored by Krishna Kumar

Since Specialization
Citations

This map shows the geographic impact of Krishna 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 Krishna Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna Kumar more than expected).

Fields of papers citing papers by Krishna Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krishna 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 Krishna Kumar. The network helps show where Krishna Kumar may publish in the future.

Co-authorship network of co-authors of Krishna Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Kumar. A scholar is included among the top collaborators of Krishna 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 Krishna Kumar. Krishna 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
2.
Hashmi, Mohammad Farukh, et al.. (2025). Hybrid deep learning and handcrafted feature fusion for pneumonia detection in chest X-rays. Journal of Electrical Systems and Information Technology. 12(1).
3.
Rathje, Ellen M., et al.. (2024). Sequential Hybrid Finite Element and Material Point Method to Simulate Slope Failures. Computers and Geotechnics. 173. 106525–106525. 3 indexed citations
4.
Choi, Yong-Jin & Krishna Kumar. (2024). Inverse analysis of granular flows using differentiable graph neural network simulator. Computers and Geotechnics. 171. 106374–106374. 5 indexed citations
6.
Goswami, Somdatta, et al.. (2024). Basis-to-basis operator learning using function encoders. Computer Methods in Applied Mechanics and Engineering. 435. 117646–117646. 2 indexed citations
7.
Marx, D. H., Krishna Kumar, & Jorge G. Zornberg. (2023). Quantification of geogrid lateral restraint using transparent sand and deep learning-based image segmentation. Geotextiles and Geomembranes. 51(5). 53–69. 3 indexed citations
8.
Mishra, R. K., Sonika Pandey, Kali Krishna Hazra, et al.. (2023). Biocontrol efficacy and induced defense mechanisms of indigenous Trichoderma strains against Fusarium wilt [F. udum (Butler)] in pigeonpea. Physiological and Molecular Plant Pathology. 127. 102122–102122. 11 indexed citations
9.
Choi, Yong-Jin & Krishna Kumar. (2023). Graph Neural Network-based surrogate model for granular flows. Computers and Geotechnics. 166. 106015–106015. 18 indexed citations
11.
Kumar, Krishna. (2023). Reflections on teaching an engineering course through murder mysteries. Journal of Technology and Science Education. 13(3). 646–646. 1 indexed citations
12.
Kumar, Krishna & Joseph P. Vantassel. (2023). GNS: A generalizable Graph Neural Network-basedsimulator for particulate and fluid modeling. The Journal of Open Source Software. 8(88). 5025–5025. 7 indexed citations
15.
Mishra, R. K., Monika Mishra, Abhishek Bohra, et al.. (2021). First Report of Fusarium equiseti Causing Wilt of Cajanus scarabaeoides, a Wild Relative of Pigeonpea, in India. Plant Disease. 105(9). 2735–2735. 5 indexed citations
16.
Mishra, R. K., et al.. (2018). Trichoderma asperellum: a potential biocontrol agents against wilt of pigeonpea caused by Fusarium udum Butler.. Journal of Food Legumes. 31(1). 45–48. 5 indexed citations
17.
Mutabaruka, Patrick, Krishna Kumar, Kenichi Soga, Farhang Radjaï, & Jean‐Yves Delenne. (2015). Transient dynamics of a 2D granular pile. The European Physical Journal E. 38(5). 133–133. 4 indexed citations
18.
Gopu, Venkadesaperumal, et al.. (2014). Plant growth promoting capability and genetic diversity of bacteria isolated from mud volcano and lime cave of Andaman and Nicobar Islands. Brazilian Journal of Microbiology. 45(4). 1271–1281. 20 indexed citations
19.
Kumar, Krishna, et al.. (1987). Sugarcane pests in Bihar: retrospect and prospect - a review.. Agricultural Reviews. 8(2). 59–66. 1 indexed citations
20.
Kumar, Krishna. (1983). Dynamic Deformation Model of Nuclear Collective Motions. Progress of Theoretical Physics Supplement. 74. 198–208. 1 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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