Rajnesh Kumar

462 total citations
17 papers, 382 citations indexed

About

Rajnesh Kumar is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics. According to data from OpenAlex, Rajnesh Kumar has authored 17 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Modeling and Simulation, 8 papers in Numerical Analysis and 6 papers in Applied Mathematics. Recurrent topics in Rajnesh Kumar's work include Fractional Differential Equations Solutions (13 papers), Iterative Methods for Nonlinear Equations (6 papers) and Nonlinear Differential Equations Analysis (4 papers). Rajnesh Kumar is often cited by papers focused on Fractional Differential Equations Solutions (13 papers), Iterative Methods for Nonlinear Equations (6 papers) and Nonlinear Differential Equations Analysis (4 papers). Rajnesh Kumar collaborates with scholars based in India, Romania and Vietnam. Rajnesh Kumar's co-authors include Devendra Kumar, Ved Prakash Dubey, Jagdev Singh, Subir Das, Dumitru Bǎleanu, H. M. Srivastava, Sunil Kumar, Ilyas Khan, Nirupam Chakraborti and Praveen Kumar Gupta and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Chaos Solitons & Fractals and European Spine Journal.

In The Last Decade

Rajnesh Kumar

17 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajnesh Kumar India 11 307 140 124 93 79 17 382
Ved Prakash Dubey India 13 407 1.3× 173 1.2× 162 1.3× 73 0.8× 95 1.2× 26 467
Hassan Mohammadi Pirouz Iran 7 281 0.9× 102 0.7× 116 0.9× 105 1.1× 78 1.0× 12 469
Ramazan Özarslan Türkiye 11 333 1.1× 122 0.9× 86 0.7× 87 0.9× 150 1.9× 27 425
Mohammad Partohaghighi Türkiye 13 355 1.2× 151 1.1× 185 1.5× 66 0.7× 87 1.1× 40 435
Asad Freihat Jordan 8 277 0.9× 128 0.9× 93 0.8× 46 0.5× 89 1.1× 16 320
Sachin Kumar India 13 364 1.2× 190 1.4× 94 0.8× 61 0.7× 128 1.6× 29 409
Sonal Jain India 11 296 1.0× 82 0.6× 72 0.6× 114 1.2× 119 1.5× 39 381
Rubens de Figueiredo Camargo Brazil 11 262 0.9× 108 0.8× 76 0.6× 52 0.6× 113 1.4× 29 340
J. Tórres-Jiménez Mexico 10 233 0.8× 113 0.8× 98 0.8× 38 0.4× 64 0.8× 28 340
Surath Ghosh India 8 289 0.9× 121 0.9× 117 0.9× 74 0.8× 79 1.0× 18 364

Countries citing papers authored by Rajnesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Rajnesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajnesh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Rajnesh Kumar. A scholar is included among the top collaborators of Rajnesh 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 Rajnesh Kumar. Rajnesh Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Dubey, Ved Prakash, Rajnesh Kumar, Devendra Kumar, Ilyas Khan, & Jagdev Singh. (2020). An efficient computational scheme for nonlinear time fractional systems of partial differential equations arising in physical sciences. Advances in Difference Equations. 2020(1). 46 indexed citations
2.
Kumar, Rajnesh, et al.. (2020). A hybrid analytical scheme for the numerical computation of time fractional computer virus propagation model and its stability analysis. Chaos Solitons & Fractals. 133. 109626–109626. 26 indexed citations
3.
Dubey, Ved Prakash, Rajnesh Kumar, Jagdev Singh, & Devendra Kumar. (2020). An efficient computational technique for time-fractional modified Degasperis-Procesi equation arising in propagation of nonlinear dispersive waves. Journal of Ocean Engineering and Science. 6(1). 30–39. 29 indexed citations
4.
Srivastava, H. M., Ved Prakash Dubey, Rajnesh Kumar, et al.. (2020). An efficient computational approach for a fractional-order biological population model with carrying capacity. Chaos Solitons & Fractals. 138. 109880–109880. 105 indexed citations
5.
Dubey, Ved Prakash, Rajnesh Kumar, & Devendra Kumar. (2019). Approximate analytical solution of fractional order biochemical reaction model and its stability analysis. International Journal of Biomathematics. 12(5). 1950059–1950059. 11 indexed citations
6.
Dubey, Ved Prakash, Rajnesh Kumar, & Devendra Kumar. (2019). Numerical solution of time-fractional three-species food chain model arising in the realm of mathematical ecology. International Journal of Biomathematics. 13(2). 2050011–2050011. 15 indexed citations
7.
Dubey, Ved Prakash, Rajnesh Kumar, & Devendra Kumar. (2019). A reliable treatment of residual power series method for time-fractional Black–Scholes European option pricing equations. Physica A Statistical Mechanics and its Applications. 533. 122040–122040. 33 indexed citations
8.
Kumar, Rajnesh, et al.. (2019). Analytical study of fractional Bratu-type equation arising in electro-spun organic nanofibers elaboration. Physica A Statistical Mechanics and its Applications. 521. 762–772. 22 indexed citations
9.
Kumar, Rajnesh, et al.. (2014). A study of Greens functions for three-dimensional problem in thermoelastic diffusion media. 7(7). 68–78. 5 indexed citations
10.
Kumar, Rajnesh & Sunil Kumar. (2013). A New Fractional Modelling on Susceptible-Infected-Recovered Equations with Constant Vaccination Rate. Nonlinear Engineering. 3(1). 11–19. 23 indexed citations
11.
Das, Subir, Rajnesh Kumar, & Praveen Kumar Gupta. (2011). The Homotopy Analysis Method for Fractional Cauchy Reaction-Diffusion Problems. International Journal of Chemical Reactor Engineering. 9(1). 3 indexed citations
12.
Kumar, Rajnesh, et al.. (2011). A Comparative Study and Analysis of Thermal Distribution in Heavy Duty Track Radiator Using Nano Fluids. Indian Journal Of Applied Research. 3(11). 179–186. 1 indexed citations
13.
Das, Subir & Rajnesh Kumar. (2011). Approximate analytical solutions of fractional gas dynamic equations. Applied Mathematics and Computation. 217(24). 9905–9915. 35 indexed citations
14.
Das, Subir, Rajnesh Kumar, & Praveen Kumar Gupta. (2011). Analytical Approximate Solution of Space-Time Fractional Diffusion Equation with a Moving Boundary Condition. Zeitschrift für Naturforschung A. 66(5). 281–288. 4 indexed citations
15.
Das, Subir, Rajnesh Kumar, Praveen Kumar Gupta, & Hossein Jafari. (2010). Approximate Analytical Solutions for Fractional Space- and Time- Partial Differential Equations using Homotopy Analysis Method. Applications and Applied Mathematics: An International Journal (AAM). 5(2). 22. 7 indexed citations
16.
Chakraborti, Nirupam & Rajnesh Kumar. (2003). Re-evaluation of some select SinH2m clusters using genetic algorithms. Journal of Phase Equilibria and Diffusion. 24(2). 132–139. 10 indexed citations
17.
Kumar, Rajnesh, et al.. (2001). Spina bifida occulta in isthmic spondylolisthesis: a surgical trap. European Spine Journal. 11(2). 159–161. 7 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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