Sushil Kumar

68 papers receiving 805 citations

Peers

Sushil Kumar
Comparison fields: 5 of 96
  • Modeling and Simulation 232
  • Numerical Analysis 108
  • Mechanics of Materials 317
  • Computational Mechanics 183
  • Biomedical Engineering 267
Replace P. W. Partridge with:
P. W. Partridge United Kingdom
Mazen Saad France
R. S. Schechter United States
Juan C. Heinrich United States
Sarah Mitchell Ireland
S. McKee United Kingdom
Paola Causin Italy
I. Christie United States
Jean‐Sébastien Schotté France
W. Chen China
Sushil Kumar relative to P. W. Partridge United Kingdom P. W. Partridge's profile →
Citations per field
00.5×7.5×
P. W. Partridge · 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 24 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 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201089
2 199061
3 201441
4 198938
5 201734
6 201334
7 201831
8 201030
9 201728
10 201525
11 199125
12 201322
13 202021
14 201621
15 201919
16 201917
17 202116
18 201015
19 201815
20 202115

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 74 papers that have together received 838 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (29 papers), Thermoelastic and Magnetoelastic Phenomena (18 papers), Nanofluid Flow and Heat Transfer (14 papers), Differential Equations and Numerical Methods (13 papers), Iterative Methods for Nonlinear Equations (8 papers), Numerical methods in engineering (8 papers), Nonlinear Waves and Solitons (7 papers) and Infrared Thermography in Medicine (6 papers). The work is most often cited by research in Modeling and Simulation (232 citations), Numerical Analysis (108 citations), Mechanics of Materials (317 citations), Computational Mechanics (183 citations) and Biomedical Engineering (267 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, Shirley Telles, Ajay Kumar, Stavros Busenberg, Layne T. Watson, Cécile Piret, G. Jayaraman 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 Biomathematics.

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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