Sushil Kumar

65 papers receiving 759 citations

Peers

Sushil Kumar
Comparison fields: 5 of 97
  • Modeling and Simulation 232
  • Numerical Analysis 106
  • Mechanics of Materials 311
  • Computational Mechanics 180
  • Biomedical Engineering 257
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I. Christie United States
Mazen Saad France
Juan C. Heinrich United States
R. S. Schechter United States
Jean‐Sébastien Schotté France
D. L. Clements Australia
Po-Wei Li China
Marco Discacciati Switzerland
L. Škerget Slovenia
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Citations per field
00.5×10×15.6×
I. Christie · 1×
Citations per year

Countries citing papers authored by Sushil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sushil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sushil 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 Sushil Kumar Line = papers co-authored together Sushil Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201085
2 199061
3 201439
4 198938
5 201733
6 201332
7 201829
8 201028
9 201727
10 199125
11 201525
12 201322
13 201620
14 202019
15 201919
16 201917
17 201015
18 201815
19 202115
20 202114

About Sushil Kumar

Sushil Kumar is a scholar working on Modeling and Simulation, Mechanics of Materials, Biomedical Engineering, Numerical Analysis and Computational Mechanics, having authored 73 papers that have together received 802 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (30 papers), Thermoelastic and Magnetoelastic Phenomena (18 papers), Nanofluid Flow and Heat Transfer (14 papers), Differential Equations and Numerical Methods (13 papers), Numerical methods in engineering (9 papers), Nonlinear Waves and Solitons (8 papers), Iterative Methods for Nonlinear Equations (8 papers) and Infrared Thermography in Medicine (6 papers). The work is most often cited by research in Modeling and Simulation (232 citations), Numerical Analysis (106 citations), Mechanics of Materials (311 citations), Computational Mechanics (180 citations) and Biomedical Engineering (257 citations). Sushil Kumar has collaborated with scholars based in India, United States and New Zealand. Frequent co-authors include V. K. Katiyar, A. K. Shukla, G.C. Wake, Ajay Kumar, Shirley Telles, Stavros Busenberg, Layne T. Watson, Cécile Piret, Warwick F. Vincent and M. G. Sumithra. Their work appears in journals such as Journal of Thermal Biology, Mathematical Methods in the Applied Sciences, International Journal of Nonlinear Sciences and Numerical Simulation, Computers in Biology and Medicine and International Journal of Computational Methods.

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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