Sunil Kumar

1.3k citations
77 papers · 901 · h-index 19

Impact in

Papers in

Sunil Kumar

69 papers receiving 873 citations

Peers

Sunil Kumar
Comparison fields: 5 of 78
  • Numerical Analysis 570
  • Modeling and Simulation 99
  • Computational Theory and Mathematics 289
  • Applied Mathematics 122
  • Gastroenterology 49
Replace Maı̈tine Bergounioux with:
Maı̈tine Bergounioux France
K. W. Chang Taiwan
Biao Qu China
J. M. Carnicer Spain
Felipe Álvarez Chile
Elena Resmerita Austria
Paulo Roberto Oliveira Brazil
Mohammed Yusuf Waziri Nigeria
Anton Schiela Germany
Klaus Glashoff Germany
Sunil Kumar relative to Maı̈tine Bergounioux France Maı̈tine Bergounioux's profile →
Citations per field
00.5×5.3×
Maı̈tine Bergounioux · 1×
Citations per year

Countries citing papers authored by Sunil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201453
2 201553
3 201744
4 202344
5 201843
6 202339
7 201534
8 201332
9 202030
10 202429
11 201927
12 201326
13 201523
14 201121
15 202021
16 201219
17 201619
18 201119
19 202018
20 201016

About Sunil Kumar

Sunil Kumar is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Computational Mechanics, Applied Mathematics and Computer Vision and Pattern Recognition, having authored 77 papers that have together received 901 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (54 papers), Advanced Mathematical Modeling in Engineering (26 papers), Advanced Numerical Methods in Computational Mathematics (23 papers), Numerical methods for differential equations (14 papers), Differential Equations and Boundary Problems (10 papers), Material Science and Thermodynamics (9 papers), Fractional Differential Equations Solutions (8 papers) and Nonlinear Differential Equations Analysis (5 papers). The work is most often cited by research in Numerical Analysis (570 citations), Modeling and Simulation (99 citations), Computational Theory and Mathematics (289 citations), Applied Mathematics (122 citations) and Gastroenterology (49 citations). Sunil Kumar has collaborated with scholars based in India, Spain and Portugal. Frequent co-authors include Mukesh Kumar, S. Chandra Sekhara Rao, Pratibhamoy Das, Isabel N. Figueiredo, J. Vigo‐Aguiar, Pedro Figueiredo, Vikas Gupta, Carlos Manta Oliveira, B. Engquist and Luís Pinto. Their work appears in journals such as Numerical Algorithms, Journal of Computational and Applied Mathematics, Mathematical Methods in the Applied Sciences, Applied Mathematics and Computation and Journal of Optimization Theory and Applications.

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.

Explore authors with similar magnitude of impact