Srinivasan Natesan
- Numerical Analysis top 0.2%
- Differential Equations and Numerical Methods 109
- Numerical methods for differential equations 13
- Computational Theory and Mathematics top 0.5%
- Advanced Mathematical Modeling in Engineering 56
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions 14
- Computational Mechanics top 2%
- Advanced Numerical Methods in Computational Mathematics 40
- Applied Mathematics top 2%
- Differential Equations and Boundary Problems 15
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- Material Science and Thermodynamics 25
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- Stochastic processes and financial applications 9
- Co-authors
- J. Vigo‐AguiarPratibhamoy DasN. RamanujamAbhishek DasJugal MohapatraFabián DuarteRajesh K. BawaV. Shanthi
In The Last Decade
Srinivasan Natesan
118 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 70
- Numerical Analysis 1.4k
- Computational Theory and Mathematics 677
- Modeling and Simulation 165
- Computational Mechanics 483
- Applied Mathematics 228
Countries citing papers authored by Srinivasan Natesan
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
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
The 23 scholars most cited alongside Srinivasan Natesan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2020 | 0 | |
| 13 | 2020 | 10 | |
| 14 | 2017 | 32 | |
| 15 | 2013 | 28 | |
| 16 | 2012 | 12 | |
| 17 | A robust numerical scheme for singularly perturbed parabolic reaction-diffusion problems | 2008 | 4 |
| 18 | 2008 | 8 | |
| 19 | 2003 | 56 | |
| 20 | A Parallel Boundary Value Technique for Singularly Perturbed Two-Point Boundary Value Problems. | 2000 | 2 |
About Srinivasan Natesan
Srinivasan Natesan is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Modeling and Simulation, having authored 131 papers that have together received 1.7k indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (109 papers), Advanced Mathematical Modeling in Engineering (56 papers), Advanced Numerical Methods in Computational Mathematics (40 papers), Material Science and Thermodynamics (25 papers), Differential Equations and Boundary Problems (15 papers), Fractional Differential Equations Solutions (14 papers), Numerical methods for differential equations (13 papers) and Stochastic processes and financial applications (9 papers). The work is most often cited by research in Numerical Analysis (1.4k citations), Computational Theory and Mathematics (677 citations) and Modeling and Simulation (165 citations). Srinivasan Natesan has collaborated with scholars based in India, Türkiye and Chile. Frequent 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. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and Computer Physics Communications.
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.