Devendra Kumar

1.2k total citations · 1 hit paper
98 papers, 860 citations indexed

About

Devendra Kumar is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Modeling and Simulation. According to data from OpenAlex, Devendra Kumar has authored 98 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Numerical Analysis, 32 papers in Computational Theory and Mathematics and 22 papers in Modeling and Simulation. Recurrent topics in Devendra Kumar's work include Differential Equations and Numerical Methods (53 papers), Advanced Mathematical Modeling in Engineering (23 papers) and Fractional Differential Equations Solutions (21 papers). Devendra Kumar is often cited by papers focused on Differential Equations and Numerical Methods (53 papers), Advanced Mathematical Modeling in Engineering (23 papers) and Fractional Differential Equations Solutions (21 papers). Devendra Kumar collaborates with scholars based in India, United States and Spain. Devendra Kumar's co-authors include Mohan K. Kadalbajoo, Saad Harous, Pratibhamoy Das, P. Pramod Chakravarthy, Arjun S. Yadaw, Arshad Khan, Jagdev Singh, Dumitru Bǎleanu, Abraham Silberschatz and Higinio Ramos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Devendra Kumar

89 papers receiving 808 citations

Hit Papers

A higher order stable numerical approximation for time‐fr... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Devendra Kumar India 16 638 300 174 167 99 98 860
Vladimir Gaitsgory Australia 17 316 0.5× 381 1.3× 65 0.4× 121 0.7× 41 0.4× 53 789
Valery Y. Glizer Israel 17 396 0.6× 144 0.5× 34 0.2× 178 1.1× 56 0.6× 95 848
Hiroaki Mukaidani Japan 18 238 0.4× 331 1.1× 61 0.4× 30 0.2× 26 0.3× 190 1.1k
S. Mohammad Hosseini Iran 12 284 0.4× 77 0.3× 279 1.6× 82 0.5× 11 0.1× 44 522
Z. Drici United States 12 119 0.2× 70 0.2× 139 0.8× 233 1.4× 26 0.3× 20 545
Samir Adly France 18 307 0.5× 741 2.5× 51 0.3× 192 1.1× 24 0.2× 97 956
T. Zolezzi Italy 16 358 0.6× 883 2.9× 13 0.1× 352 2.1× 48 0.5× 63 1.4k
H. Saberi Najafi Iran 15 258 0.4× 249 0.8× 184 1.1× 57 0.3× 13 0.1× 68 580
Geraldo Nunes Silva Brazil 17 185 0.3× 454 1.5× 39 0.2× 222 1.3× 12 0.1× 74 849
Yu. G. Evtushenko Russia 13 284 0.4× 234 0.8× 19 0.1× 27 0.2× 44 0.4× 74 538

Countries citing papers authored by Devendra Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Devendra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devendra Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Devendra Kumar. A scholar is included among the top collaborators of Devendra 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 Devendra Kumar. Devendra 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, Devendra, et al.. (2025). A Numerical Technique to Solve Time-Fractional Delay Diffusion Wave Equation via Trigonometric Collocation Approach. Communications on Applied Mathematics and Computation.
2.
Kumar, Devendra, et al.. (2024). An effective numerical approach for solving a system of singularly perturbed differential–difference equations in biology and physiology. Mathematics and Computers in Simulation. 229. 553–573. 1 indexed citations
3.
Das, Pratibhamoy, et al.. (2024). A higher order stable numerical approximation for time‐fractional non‐linear Kuramoto–Sivashinsky equation based on quintic B‐‐spline. Mathematical Methods in the Applied Sciences. 47(15). 11953–11975. 44 indexed citations breakdown →
4.
Kumar, Devendra, et al.. (2024). A higher order unconditionally stable numerical technique for multi-term time-fractional diffusion and advection–diffusion equations. Computational and Applied Mathematics. 43(5). 3 indexed citations
5.
Kumar, Devendra, et al.. (2024). SENTIMENT ANALYSIS USING TRANSFORMER BASED MODEL. 264–269.
6.
Kumar, Devendra, et al.. (2023). Parameter uniform numerical method for a system of singularly perturbed parabolic convection–diffusion equations. Mathematics and Computers in Simulation. 212. 360–381. 3 indexed citations
7.
Kumar, Devendra, et al.. (2023). Higher-order compact finite difference method for a free boundary problem of ductal carcinoma in situ. Applied Mathematics and Computation. 467. 128501–128501. 2 indexed citations
8.
Kumar, Devendra, et al.. (2023). An efficient numerical technique for two-parameter singularly perturbed problems having discontinuity in convection coefficient and source term. Computational and Applied Mathematics. 42(1). 3 indexed citations
9.
Kumar, Devendra, et al.. (2023). A SEMI-ANALYTIC METHOD FOR SOLVING SINGULARLY PERTURBED TWIN-LAYER PROBLEMS WITH A TURNING POINT. Mathematical Modelling and Analysis. 28(1). 102–117. 1 indexed citations
10.
Kumar, Devendra, et al.. (2020). Trigonometric quinticB-spline collocation method for singularly perturbed turning point boundary value problems. International Journal of Computer Mathematics. 98(5). 1029–1048. 23 indexed citations
11.
Choi, Junesang, et al.. (2019). Certain formulas involving a multi-index Mittag-Leffler function. East Asian Mathematical Journal. 35(1). 23–30. 3 indexed citations
12.
Kumar, Devendra. (2013). A computational technique for solving boundary value problem with two small parameters. SHILAP Revista de lepidopterología. 3 indexed citations
13.
Kumar, Devendra. (2012). Finite difference scheme for singularly perturbed convectiondiffusion problem with two small parameters. 2(5). 441–458. 2 indexed citations
14.
Kumar, Devendra, et al.. (2012). Rainfall-runoff modelling of a watershed. Civil and environmental research. 2(2). 35–42. 1 indexed citations
15.
Kadalbajoo, Mohan K. & Devendra Kumar. (2008). PARAMETER-UNIFORM FITTED OPERATOR B-SPLINE COLLOCATION METHOD FOR SELF-ADJOINT SINGULARLY PERTURBED TWO-POINT BOUNDARY VALUE PROBLEMS. 30. 346–358. 5 indexed citations
16.
Kasana, Harvir Singh & Devendra Kumar. (2005). $L^p$-approximation of generalized biaxially symmetric potentials over Carathéodory domains. Mathematica Slovaca. 55(5). 563–572.
17.
Kumar, Devendra & Saad Harous. (1990). An approach towards distributed simulation of timed Petri nets. Winter Simulation Conference. 428–435. 17 indexed citations
18.
Kumar, Devendra. (1989). An Approximate Method to Predict Performance of a Distributed Simulation Scheme.. Proceedings of the International Conference on Parallel Processing. 259–262. 10 indexed citations
19.
Kumar, Devendra. (1986). Simulating feedforward systems using a network of processors. Annual Simulation Symposium. 127–144. 12 indexed citations
20.
Kumar, Devendra. (1985). Design and Performance Analysis of a Distributed Simulation Scheme.. Int. CMG Conference. 314–320. 2 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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