Sushil Kumar

76 papers receiving 857 citations

Peers

Sushil Kumar
Comparison fields: 5 of 100
  • Modeling and Simulation 253
  • Numerical Analysis 116
  • Mechanics of Materials 350
  • Computational Mechanics 186
  • Mathematical Physics 61
Replace Mazen Saad with:
Mazen Saad France
R. S. Schechter United States
Juan C. Heinrich United States
António Romano Italy
Paola Causin Italy
Jean‐Sébastien Schotté France
Po-Wei Li China
S. McKee United Kingdom
I. Christie United States
Marco Discacciati Switzerland
Sushil Kumar relative to Mazen Saad France Mazen Saad's profile →
Citations per field
00.5×4.2×
Mazen Saad · 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 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201089
2 199063
3 201443
4 198938
5 201736
6 201336
7 201033
8 201831
9 201728
10 201526
11 199126
12 201324
13 201623
14 202022
15 201920
16 201919
17 202116
18 201015
19 201815
20 202115

About Sushil Kumar

Sushil Kumar is a scholar working on Mechanics of Materials, Modeling and Simulation, Biomedical Engineering, Numerical Analysis and Computational Mechanics, having authored 83 papers that have together received 892 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (34 papers), Thermoelastic and Magnetoelastic Phenomena (23 papers), Nanofluid Flow and Heat Transfer (15 papers), Differential Equations and Numerical Methods (14 papers), Iterative Methods for Nonlinear Equations (9 papers), Numerical methods in engineering (9 papers), Numerical methods in inverse problems (8 papers) and Infrared Thermography in Medicine (8 papers). The work is most often cited by research in Modeling and Simulation (253 citations), Numerical Analysis (116 citations), Mechanics of Materials (350 citations), Computational Mechanics (186 citations) and Mathematical Physics (61 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, Stavros Busenberg, Shirley Telles, Layne T. Watson, Cécile Piret, Warwick F. Vincent and M. G. Sumithra. Their work appears in journals such as Journal of Thermal Biology, International Journal of Nonlinear Sciences and Numerical Simulation, Computers in Biology and Medicine, Mathematical Methods in the Applied Sciences 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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