Sarvesh Kumar

442 total citations
38 papers, 319 citations indexed

About

Sarvesh Kumar is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, Sarvesh Kumar has authored 38 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computational Mechanics, 15 papers in Computational Theory and Mathematics and 14 papers in Mechanics of Materials. Recurrent topics in Sarvesh Kumar's work include Advanced Numerical Methods in Computational Mathematics (29 papers), Advanced Mathematical Modeling in Engineering (15 papers) and Computational Fluid Dynamics and Aerodynamics (12 papers). Sarvesh Kumar is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (29 papers), Advanced Mathematical Modeling in Engineering (15 papers) and Computational Fluid Dynamics and Aerodynamics (12 papers). Sarvesh Kumar collaborates with scholars based in India, Chile and United Kingdom. Sarvesh Kumar's co-authors include Ricardo Ruíz-Baier, E. Natarajan, Amiya K. Pani, Neela Nataraj, Raimund Bürger, Ricardo Oyarzúa, Amitesh Kumar, Raju K. George and V. Subramanian and has published in prestigious journals such as Journal of Computational Physics, Computers & Mathematics with Applications and Applied Mathematical Modelling.

In The Last Decade

Sarvesh Kumar

32 papers receiving 305 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sarvesh Kumar India 11 290 135 124 51 39 38 319
Mika Juntunen Finland 7 253 0.9× 146 1.1× 116 0.9× 49 1.0× 29 0.7× 18 304
Sergio Caucao Chile 12 287 1.0× 206 1.5× 115 0.9× 52 1.0× 16 0.4× 34 298
Jörg Grande Germany 6 238 0.8× 95 0.7× 81 0.7× 45 0.9× 30 0.8× 11 267
Ayçıl Çeşmeli̇oğlu United States 9 423 1.5× 103 0.8× 195 1.6× 44 0.9× 65 1.7× 22 456
Annette F. Stephansen Norway 5 211 0.7× 63 0.5× 129 1.0× 36 0.7× 59 1.5× 9 255
Anton Smolianski Switzerland 11 284 1.0× 80 0.6× 90 0.7× 32 0.6× 21 0.5× 16 326
Vitoriano Ruas France 9 235 0.8× 104 0.8× 67 0.5× 46 0.9× 26 0.7× 68 264
Manfred Dobrowolski Germany 10 329 1.1× 190 1.4× 209 1.7× 76 1.5× 104 2.7× 21 406
Eduardo M. Garau Argentina 9 222 0.8× 104 0.8× 134 1.1× 21 0.4× 53 1.4× 11 248
Gerd Rapin Germany 10 205 0.7× 91 0.7× 80 0.6× 27 0.5× 66 1.7× 14 278

Countries citing papers authored by Sarvesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sarvesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarvesh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sarvesh Kumar. A scholar is included among the top collaborators of Sarvesh Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarvesh Kumar. Sarvesh Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kumar, Sarvesh, et al.. (2025). Nonconforming virtual element method for an incompressible miscible displacement problem in porous media. Computers & Mathematics with Applications. 183. 153–179. 1 indexed citations
2.
Kumar, Sarvesh & V. Subramanian. (2025). Temporal boundary between two non-dispersive media. Optics Continuum. 4(4). 826–826.
3.
Kumar, Sarvesh, et al.. (2025). Assessing mechanical strength of ion exchange resins to predict fines generation in hydrocarbon catalysis. Particulate Science And Technology. 44(2). 177–188.
4.
Kumar, Sarvesh, et al.. (2024). Morley type virtual element method for von Kármán equations. Advances in Computational Mathematics. 50(5). 1 indexed citations
5.
Kumar, Sarvesh, et al.. (2023). Mixed virtual element methods for optimal control of Darcy flow. Computers & Mathematics with Applications. 140. 134–153. 3 indexed citations
6.
Kumar, Sarvesh, et al.. (2020). Stability analysis for a new model of multi-species convection-diffusion-reaction in poroelastic tissue. Applied Mathematical Modelling. 84. 425–446. 15 indexed citations
8.
Kumar, Sarvesh, et al.. (2018). Flow Pattern and Liquid Holdup Prediction in Multiphase Flow by Machine Learning Approach. 14(4). 1–9. 2 indexed citations
9.
Kumar, Sarvesh, et al.. (2018). Mixed and discontinuous finite volume element schemes for the optimal control of immiscible flow in porous media. Computers & Mathematics with Applications. 76(4). 923–937. 3 indexed citations
10.
Natarajan, E., et al.. (2018). Convergence analysis of virtual element methods for semilinear parabolic problems on polygonal meshes. Numerical Methods for Partial Differential Equations. 35(1). 222–245. 49 indexed citations
11.
Natarajan, E., et al.. (2018). Virtual element method for semilinear hyperbolic problems on polygonal meshes. International Journal of Computer Mathematics. 96(5). 971–991. 30 indexed citations
12.
Natarajan, E., et al.. (2016). A new nonconforming finite element method for convection dominated diffusion-reaction equations. International Journal of Advances in Engineering Sciences and Applied Mathematics. 8(4). 274–283.
13.
Bürger, Raimund, et al.. (2016). Discontinuous approximation of viscous two-phase flow in heterogeneous porous media. Journal of Computational Physics. 321. 126–150. 12 indexed citations
14.
Kumar, Sarvesh & Ricardo Ruíz-Baier. (2015). Equal Order Discontinuous Finite Volume Element Methods for the Stokes Problem. Journal of Scientific Computing. 65(3). 956–978. 16 indexed citations
15.
Bürger, Raimund, Sarvesh Kumar, & Ricardo Ruíz-Baier. (2015). Discontinuous finite volume element discretization for coupled flow–transport problems arising in models of sedimentation. Journal of Computational Physics. 299. 446–471. 26 indexed citations
16.
Kumar, Sarvesh, et al.. (2015). A priori error estimates for discontinuous finite volume discretizations of the Brinkman optimal control problem. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
17.
Kumar, Sarvesh. (2013). ON THE APPROXIMATION OF INCOMPRESSIBLE MISCIBLE DISPLACEMENT PROBLEMS IN POROUS MEDIA BY MIXED AND STANDARD FINITE VOLUME ELEMENT METHODS. Advances in Complex Systems. 4(3). 1350013–1350013. 3 indexed citations
18.
Kumar, Sarvesh, Neela Nataraj, & Amiya K. Pani. (2008). Finite volume element method for second order hyperbolic equations. DSpace (IIT Bombay). 5(1). 132–151. 24 indexed citations
19.
Kumar, Sarvesh. (2008). FINITE VOLUME ELEMENT METHODS FOR INCOMPRESSIBLE MISCIBLE DISPLACEMENT PROBLEMS IN POROUS MEDIA. 1 indexed citations
20.
Kumar, Sarvesh, Neela Nataraj, & Amiya K. Pani. (2007). Finite volume element method for the incompressible miscible displacement problems in porous media. PAMM. 7(1). 2020015–2020016. 1 indexed citations

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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