Vivek Kumar

641 citations
53 papers · 400 · h-index 10

Impact in

Papers in

Vivek Kumar

46 papers receiving 384 citations

Peers

Vivek Kumar
Comparison fields: 5 of 80
  • Modeling and Simulation 116
  • Numerical Analysis 136
  • Applied Mathematics 40
  • Public Health, Environmental and Occupational Health 95
  • Computational Mechanics 65
Replace Saif Ullah with:
Saif Ullah Pakistan
Leila Torkzadeh Iran
M.‐D. Roselló Spain
Maureen P. Edwards Australia
Appanah Rao Appadu South Africa
M.L. Hbid Morocco
Muhammad Zaid Dauhoo Mauritius
Fuat Gürcan Türkiye
Chandrali Baishya India
Samia Bushnaq Jordan
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Citations per field
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Saif Ullah · 1×
Citations per year

Countries citing papers authored by Vivek Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Vivek 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 Vivek Kumar Line = papers co-authored together Vivek Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201654
2 201753
3 200743
4 201434
5 200920
6 202119
7 200715
8
An optimized B-spline method for solving singularly perturbed differential difference equations with delay as well as advance
200811
9 201611
10 200710
11 20219
12 20198
13 20208
14 20208
15 20078
16 20177
17 20226
18 20216
19 20185
20 20225

About Vivek Kumar

Vivek Kumar is a scholar working on Numerical Analysis, Public Health, Environmental and Occupational Health, Computational Mechanics, Genetics and Computational Theory and Mathematics, having authored 53 papers that have together received 400 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (14 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Evolution and Genetic Dynamics (10 papers), Advanced Mathematical Modeling in Engineering (8 papers), Advanced Numerical Methods in Computational Mathematics (7 papers), Fluid Dynamics and Turbulent Flows (6 papers), Computational Fluid Dynamics and Aerodynamics (5 papers) and Numerical methods for differential equations (4 papers). The work is most often cited by research in Modeling and Simulation (116 citations), Numerical Analysis (136 citations), Applied Mathematics (40 citations), Public Health, Environmental and Occupational Health (95 citations) and Computational Mechanics (65 citations). Vivek Kumar has collaborated with scholars based in India, Germany and Canada. Frequent co-authors include Mani Mehra, B. Srinivasan, Mohan K. Kadalbajoo, M. Rajkumar, S. Abinaya, Günter Leugering, Kapil K. Sharma, Abhinav Juneja, Richa Sharma and Charu Arora. Their work appears in journals such as International Journal of Biomathematics, Applied Mathematical Modelling, Journal of Computational and Applied Mathematics, Applied Mathematics and Computation and Mathematics and Computers in Simulation.

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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