Srinivasan Natesan

2.2k total citations
131 papers, 1.7k citations indexed

About

Srinivasan Natesan is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Srinivasan Natesan has authored 131 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Numerical Analysis, 56 papers in Computational Theory and Mathematics and 47 papers in Computational Mechanics. Recurrent topics in Srinivasan Natesan's work include Differential Equations and Numerical Methods (109 papers), Advanced Mathematical Modeling in Engineering (56 papers) and Advanced Numerical Methods in Computational Mathematics (40 papers). Srinivasan Natesan is often cited by papers focused on Differential Equations and Numerical Methods (109 papers), Advanced Mathematical Modeling in Engineering (56 papers) and Advanced Numerical Methods in Computational Mathematics (40 papers). Srinivasan Natesan collaborates with scholars based in India, Türkiye and Chile. Srinivasan Natesan's co-authors include J. Vigo‐Aguiar, Pratibhamoy Das, N. Ramanujam, Abhishek Das, Jugal Mohapatra, Fabián Duarte, Rajesh K. Bawa, V. Shanthi, Carlos Conca and Jaspreet Kaur and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and Computer Physics Communications.

In The Last Decade

Srinivasan Natesan

118 papers receiving 1.6k citations

Peers

Srinivasan Natesan

CTM

Mohan K. Kadalbajoo India

J.L. Gracia Spain

Nicholas Hale United Kingdom

G. I. Shishkin Russia

Eisa Al-Said Saudi Arabia

F. A. Howes United States

Petr N. Vabishchevich Russia

Eugene O’Riordan Ireland

F.J. Lisbona Spain

Mohan K. Kadalbajoo India

Srinivasan Natesan

2.4k ×1.7

740 ×1.1

CTM

504 ×1.0

451 ×1.5

459 ×2.0

Citations per year, relative to Srinivasan Natesan Srinivasan Natesan (= 1×) peers Mohan K. Kadalbajoo

Countries citing papers authored by Srinivasan Natesan

Since Specialization

Citations

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

Fields of papers citing papers by Srinivasan Natesan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivasan Natesan

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

All Works

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20 of 20 papers shown

Natesan, Srinivasan, et al.. (2025). Numerical Solution of Passport Option Pricing Problem with Polynomial Neural Networks. Computational Economics. 66(6). 4695–4726. 1 indexed citations

Natesan, Srinivasan, et al.. (2025). Application of PINN to obtain solution of boundary layer problems arising in fluid dynamics. Mathematical Foundations of Computing. 10(0). 89–108. 1 indexed citations

Natesan, Srinivasan, et al.. (2025). A Novel ADI‐Weak Galerkin Method for Singularly Perturbed Two‐Parameter 2D Parabolic Pdes. Numerical Methods for Partial Differential Equations. 41(1). 2 indexed citations

Natesan, Srinivasan, et al.. (2025). Reliable Numerical Pricing of Multi–Asset European Options Using a Weak Galerkin FEM for Generalized Black–Scholes Models. Numerical Methods for Partial Differential Equations. 42(1).

Natesan, Srinivasan, et al.. (2024). A weak Galerkin finite element method for fourth-order parabolic singularly perturbed problems on layer adapted Shishkin mesh. Applied Numerical Mathematics. 207. 520–533. 2 indexed citations

Natesan, Srinivasan, et al.. (2024). Anisotropic error analysis of weak Galerkin finite element method for singularly perturbed biharmonic problems. Mathematics and Computers in Simulation. 229. 203–221. 1 indexed citations

Natesan, Srinivasan, et al.. (2024). An efficient computational technique for semilinear time-fractional diffusion equation. CALCOLO. 61(3).

Natesan, Srinivasan, et al.. (2024). A parameter-uniform hybrid method for singularly perturbed parabolic 2D convection-diffusion-reaction problems. Applied Numerical Mathematics. 207. 111–135. 2 indexed citations

Natesan, Srinivasan, et al.. (2024). An Efficient Fourth-Order Numerical Scheme for Nonlinear Multi-asset Option Pricing Problems. Mediterranean Journal of Mathematics. 21(7). 2 indexed citations

10.

Natesan, Srinivasan, et al.. (2023). Nonsymmetric interior penalty Galerkin method for nonlinear time-fractional integro-partial differential equations. Mathematics and Computers in Simulation. 213. 1–17. 3 indexed citations

11.

Natesan, Srinivasan, et al.. (2023). Robust numerical method for space shift 2D singularly perturbed parabolic convection diffusion differential equations. Computational and Applied Mathematics. 42(4). 1 indexed citations

12.

Prasad, M. G., et al.. (2020). Fractal quintic spline method for nonlinear boundary-value problems. Hacettepe Journal of Mathematics and Statistics. 49(6). 1885–1903.

13.

Prasad, M. G., et al.. (2020). Shape preserving $$\alpha$$-fractal rational cubic splines. CALCOLO. 57(3). 10 indexed citations

14.

Das, Abhishek & Srinivasan Natesan. (2017). Second-order uniformly convergent numerical method for singularly perturbed delay parabolic partial differential equations. International Journal of Computer Mathematics. 95(3). 490–510. 32 indexed citations

15.

Das, Pratibhamoy & Srinivasan Natesan. (2013). Richardson Extrapolation Method for SingularlyPerturbed Convection-Diffusion Problems on AdaptivelyGenerated Mesh. Computer Modeling in Engineering & Sciences. 90(6). 463–485. 28 indexed citations

16.

Natesan, Srinivasan, et al.. (2012). Robust Numerical Scheme for Singularly Perturbed Parabolic Initial-Boundary-Value Problems on Equidistributed Mesh. Computer Modeling in Engineering & Sciences. 88(4). 245–268. 12 indexed citations

17.

Natesan, Srinivasan & Rajdeep Deb. (2008). A robust numerical scheme for singularly perturbed parabolic reaction-diffusion problems. Neural, Parallel & Scientific Computations archive. 16(3). 419–433. 4 indexed citations

18.

Natesan, Srinivasan, et al.. (2008). Richardson Extrapolation Method for Singularly Perturbed Coupled System of Convection-Diffusion Boundary-Value Problems. Computer Modeling in Engineering & Sciences. 38(2). 179–200. 8 indexed citations

19.

Natesan, Srinivasan, et al.. (2003). Parameter uniform numerical method for singularly perturbed turning point problems exhibiting boundary layers. Journal of Computational and Applied Mathematics. 158(1). 121–134. 56 indexed citations

20.

Natesan, Srinivasan & J. Vigo‐Aguiar. (2000). A Parallel Boundary Value Technique for Singularly Perturbed Two-Point Boundary Value Problems.. Parallel and Distributed Processing Techniques and Applications. 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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