Mani Mehra
Impact in
- Modeling and Simulation top 0.5%
- Fractional Differential Equations Solutions
- Numerical Analysis top 1%
- Differential Equations and Numerical Methods
- Numerical methods for differential equations
Papers in
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- Differential Equations and Numerical Methods 34
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- Fractional Differential Equations Solutions 34
- Co-authors
- Günter Leugering (9 shared papers)B. V. Rathish Kumar (10 shared papers)Nicholas Kevlahan (3 shared papers)Vivek Kumar (4 shared papers)Brajesh Kumar (2 shared papers)Ratikanta Behera (7 shared papers)Ankita Shukla (6 shared papers)Anatoly A. Alikhanov (1 shared paper)
In The Last Decade
Mani Mehra
75 papers receiving 896 citations
Peers
Comparison fields: 5 of 67
- Modeling and Simulation 579
- Numerical Analysis 522
- Applied Mathematics 286
- Statistical and Nonlinear Physics 97
- Computational Mechanics 154
Countries citing papers authored by Mani Mehra
This map shows the geographic impact of Mani Mehra'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 Mani Mehra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mani Mehra more than expected).
Fields of papers citing papers by Mani Mehra
This network shows the impact of papers produced by Mani Mehra. 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 Mani Mehra. The network helps show where Mani Mehra may publish in the future.
Co-authors
The 20 scholars most cited alongside Mani Mehra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 53 | |
| 2 | 2008 | 47 | |
| 3 | 2018 | 46 | |
| 4 | 2020 | 42 | |
| 5 | 2021 | 41 | |
| 6 | 2020 | 37 | |
| 7 | 2020 | 34 | |
| 8 | 2020 | 33 | |
| 9 | 2020 | 32 | |
| 10 | 2020 | 29 | |
| 11 | 2021 | 27 | |
| 12 | 2021 | 24 | |
| 13 | 2006 | 22 | |
| 14 | 2005 | 21 | |
| 15 | 2005 | 21 | |
| 16 | 2009 | 20 | |
| 17 | 2017 | 19 | |
| 18 | 2021 | 17 | |
| 19 | 2016 | 17 | |
| 20 | 2021 | 16 |
About Mani Mehra
Mani Mehra is a scholar working on Numerical Analysis, Modeling and Simulation, Computer Vision and Pattern Recognition, Computational Mechanics and Applied Mathematics, having authored 81 papers that have together received 969 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (34 papers), Differential Equations and Numerical Methods (34 papers), Image and Signal Denoising Methods (26 papers), Nonlinear Differential Equations Analysis (19 papers), Advanced Numerical Methods in Computational Mathematics (11 papers), Seismic Imaging and Inversion Techniques (10 papers), Advanced Numerical Analysis Techniques (9 papers) and Advanced Mathematical Modeling in Engineering (8 papers). The work is most often cited by research in Modeling and Simulation (579 citations), Numerical Analysis (522 citations), Applied Mathematics (286 citations), Statistical and Nonlinear Physics (97 citations) and Computational Mechanics (154 citations). Mani Mehra has collaborated with scholars based in India, Germany and Canada. Frequent co-authors include Günter Leugering, B. V. Rathish Kumar, Nicholas Kevlahan, Vivek Kumar, Brajesh Kumar, Ratikanta Behera, Ankita Shukla, Anatoly A. Alikhanov, Shweta Kumari and Ranjan K. Mallik. Their work appears in journals such as Mathematical Methods in the Applied Sciences, Applied Mathematics and Computation, Applied Numerical Mathematics, Numerical Methods for Partial Differential Equations and Journal of Computational Physics.
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.