Sachin Kumar

506 total citations
29 papers, 409 citations indexed

About

Sachin Kumar is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics. According to data from OpenAlex, Sachin Kumar has authored 29 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Modeling and Simulation, 20 papers in Numerical Analysis and 17 papers in Applied Mathematics. Recurrent topics in Sachin Kumar's work include Fractional Differential Equations Solutions (27 papers), Nonlinear Differential Equations Analysis (15 papers) and Differential Equations and Numerical Methods (11 papers). Sachin Kumar is often cited by papers focused on Fractional Differential Equations Solutions (27 papers), Nonlinear Differential Equations Analysis (15 papers) and Differential Equations and Numerical Methods (11 papers). Sachin Kumar collaborates with scholars based in India, Mexico and Taiwan. Sachin Kumar's co-authors include Prashant Pandey, Dumitru Bǎleanu, Dia Zeidan, J. F. Gómez‐Aguilar, Subir Das, Abdon Atangana, Jinde Cao, Mahmoud Abdel‐Aty, Bashir Ahmad and Juan J. Nieto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chaos Solitons & Fractals and Alexandria Engineering Journal.

In The Last Decade

Sachin Kumar

27 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sachin Kumar India 13 364 190 128 94 61 29 409
Ved Prakash Dubey India 13 407 1.1× 173 0.9× 95 0.7× 162 1.7× 73 1.2× 26 467
Erdal Baş Türkiye 14 485 1.3× 160 0.8× 242 1.9× 143 1.5× 91 1.5× 37 593
Ramazan Özarslan Türkiye 11 333 0.9× 122 0.6× 150 1.2× 86 0.9× 87 1.4× 27 425
Sushila Rathore India 9 505 1.4× 276 1.5× 150 1.2× 199 2.1× 55 0.9× 19 568
Ram Swroop India 9 486 1.3× 295 1.6× 130 1.0× 219 2.3× 66 1.1× 13 537
J. Tórres-Jiménez Mexico 10 233 0.6× 113 0.6× 64 0.5× 98 1.0× 38 0.6× 28 340
Necdet Bıldık Türkiye 12 380 1.0× 225 1.2× 77 0.6× 99 1.1× 41 0.7× 31 510
Rajnesh Kumar India 11 307 0.8× 140 0.7× 79 0.6× 124 1.3× 93 1.5× 17 382
İ. Onur Kıymaz Türkiye 9 343 0.9× 152 0.8× 208 1.6× 106 1.1× 45 0.7× 26 467
Asad Freihat Jordan 8 277 0.8× 128 0.7× 89 0.7× 93 1.0× 46 0.8× 16 320

Countries citing papers authored by Sachin Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sachin Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachin Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sachin Kumar. A scholar is included among the top collaborators of Sachin 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 Sachin Kumar. Sachin 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, Sachin, et al.. (2024). Lower and upper bounds of integral mean estimate for polar derivative of a polynomial. Annals of the University of Craiova Mathematics and Computer Science Series. 51(2). 468–487.
3.
Kumar, Sachin & Dia Zeidan. (2021). An efficient Mittag-Leffler kernel approach for time-fractional advection-reaction-diffusion equation. Applied Numerical Mathematics. 170. 190–207. 39 indexed citations
4.
Kumar, Sachin, Juan J. Nieto, & Bashir Ahmad. (2021). Chebyshev spectral method for solving fuzzy fractional Fredholm–Volterra integro-differential equation. Mathematics and Computers in Simulation. 192. 501–513. 23 indexed citations
5.
Rezapour, Sh., et al.. (2021). On two abstract Caputo multi-term sequential fractional boundary value problems under the integral conditions. Mathematics and Computers in Simulation. 194. 365–382. 5 indexed citations
6.
Kumar, Sachin & Dia Zeidan. (2021). Numerical study of Zika model as a mosquito-borne virus with non-singular fractional derivative. International Journal of Biomathematics. 15(5). 12 indexed citations
7.
Kumar, Sachin & J. F. Gómez‐Aguilar. (2020). Numerical Solution of Caputo-Fabrizio Time Fractional Distributed Order Reaction-diffusion Equation via Quasi Wavelet based Numerical Method. SHILAP Revista de lepidopterología. 13 indexed citations
8.
9.
Kumar, Sachin, Jinde Cao, & Mahmoud Abdel‐Aty. (2020). A novel mathematical approach of COVID-19 with non-singular fractional derivative. Chaos Solitons & Fractals. 139. 110048–110048. 29 indexed citations
10.
Kumar, Sachin, Prashant Pandey, J. F. Gómez‐Aguilar, & Dumitru Bǎleanu. (2020). DOUBLE-QUASI-WAVELET NUMERICAL METHOD FOR THE VARIABLE-ORDER TIME FRACTIONAL AND RIESZ SPACE FRACTIONAL REACTION–DIFFUSION EQUATION INVOLVING DERIVATIVES IN CAPUTO–FABRIZIO SENSE. Fractals. 28(8). 2040047–2040047. 3 indexed citations
11.
Kumar, Sachin, Jinde Cao, & Xiaodi Li. (2020). A Numerical Method for Time-Fractional Reaction-Diffusion and Integro Reaction-Diffusion Equation Based on Quasi-Wavelet. Complexity. 2020. 1–11. 3 indexed citations
12.
Kumar, Sachin. (2020). Numerical solution of fuzzy fractional diffusion equation by Chebyshev spectral method. Numerical Methods for Partial Differential Equations. 12 indexed citations
13.
Pandey, Prashant, Sachin Kumar, J. F. Gómez‐Aguilar, & Dumitru Bǎleanu. (2020). An efficient technique for solving the space-time fractional reaction-diffusion equation in porous media. Chinese Journal of Physics. 68. 483–492. 37 indexed citations
14.
Kumar, Sachin & Dumitru Bǎleanu. (2020). Numerical solution of two‐dimensional time fractional cable equation with Mittag‐Leffler kernel. Mathematical Methods in the Applied Sciences. 43(15). 8348–8362. 17 indexed citations
15.
Kumar, Sachin & Abdon Atangana. (2020). Numerical solution of ABC space–time fractional distributed order reaction–diffusion equation. Numerical Methods for Partial Differential Equations. 5 indexed citations
16.
Kumar, Sachin & Bashir Ahmad. (2020). A new numerical study of space–time fractional advection–reaction–diffusion equation with Rabotnov fractional‐exponential kernel. Numerical Methods for Partial Differential Equations. 2 indexed citations
17.
Kumar, Sachin, J. F. Gómez‐Aguilar, J. E. Lavín-Delgado, & Dumitru Bǎleanu. (2020). Derivation of operational matrix of Rabotnov fractional-exponential kernel and its application to fractional Lienard equation. Alexandria Engineering Journal. 59(5). 2991–2997. 8 indexed citations
18.
Pandey, Prashant, Sachin Kumar, & J. F. Gómez‐Aguilar. (2019). Numerical Solution of the Time Fractional Reaction-advection-diffusion Equation in Porous Media. SHILAP Revista de lepidopterología. 15 indexed citations
19.
Pandey, Prashant, Sachin Kumar, Hossein Jafari, & Subir Das. (2019). An operational matrix for solving time-fractional order Cahn-Hilliard equation. Thermal Science. 23(Suppl. 6). 2045–2052. 14 indexed citations
20.
Kumar, Sachin, Prashant Pandey, & Subir Das. (2019). Gegenbauer wavelet operational matrix method for solving variable-order non-linear reaction–diffusion and Galilei invariant advection–diffusion equations. Computational and Applied Mathematics. 38(4). 15 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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