Akil Narayan
Impact in
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- Probabilistic and Robust Engineering Design
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- Model Reduction and Neural Networks
Papers in
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- Probabilistic and Robust Engineering Design 51
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- Model Reduction and Neural Networks 24
- Scientific Research and Discoveries 8
- Co-authors
- Dongbin Xiu (8 shared papers)John Jakeman (7 shared papers)Claude Jeffrey Gittelson (1 shared paper)Robert M. Kirby (9 shared papers)Tao Tang (4 shared papers)Ling Guo (5 shared papers)Vahid Keshavarzzadeh (6 shared papers)Yanlai Chen (7 shared papers)
- Journals
- SIAM Journal on Scientific Computing (13 papers)Journal of Computational Physics (12 papers)Journal of Scientific Computing (7 papers)Computer Methods in Applied Mechanics and Engineering (6 papers)SIAM/ASA Journal on Uncertainty Quantification (5 papers)
- Partner nations
- United StatesChinaAustria
In The Last Decade
Akil Narayan
88 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Statistics, Probability and Uncertainty 637
- Statistical and Nonlinear Physics 315
- Numerical Analysis 94
- Computational Theory and Mathematics 262
- Computational Mathematics 9
Countries citing papers authored by Akil Narayan
This map shows the geographic impact of Akil Narayan'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 Akil Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akil Narayan more than expected).
Fields of papers citing papers by Akil Narayan
This network shows the impact of papers produced by Akil Narayan. 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 Akil Narayan. The network helps show where Akil Narayan may publish in the future.
Co-authors
The 25 scholars most cited alongside Akil Narayan, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 92 | |
| 2 | 2019 | 63 | |
| 3 | 2012 | 55 | |
| 4 | 2014 | 53 | |
| 5 | 2016 | 50 | |
| 6 | ADAPTIVE LEJA SPARSE GRID CONSTRUCTIONS FOR STOCHASTIC COLLOCATION AND HIGH-DIMENSIONAL APPROXIMATION | 2016 | 47 |
| 7 | 2017 | 46 | |
| 8 | 2019 | 42 | |
| 9 | 2013 | 40 | |
| 10 | 2023 | 39 | |
| 11 | 2018 | 34 | |
| 12 | 2018 | 32 | |
| 13 | 2020 | 30 | |
| 14 | 2018 | 29 | |
| 15 | 2001 | 28 | |
| 16 | 2014 | 26 | |
| 17 | 2022 | 22 | |
| 18 | 2015 | 22 | |
| 19 | 2020 | 21 | |
| 20 | 2018 | 21 |
About Akil Narayan
Akil Narayan is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Computational Mechanics and Numerical Analysis, having authored 93 papers that have together received 1.2k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (51 papers), Model Reduction and Neural Networks (24 papers), Advanced Multi-Objective Optimization Algorithms (17 papers), Structural Health Monitoring Techniques (11 papers), Cardiac electrophysiology and arrhythmias (9 papers), Scientific Research and Discoveries (8 papers), Numerical methods for differential equations (7 papers) and Fault Detection and Control Systems (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (637 citations), Statistical and Nonlinear Physics (315 citations), Numerical Analysis (94 citations), Computational Theory and Mathematics (262 citations) and Computational Mathematics (9 citations). Akil Narayan has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Dongbin Xiu, John Jakeman, Claude Jeffrey Gittelson, Robert M. Kirby, Tao Tang, Ling Guo, Vahid Keshavarzzadeh, Yanlai Chen, Xueyu Zhu and Robert M. Kirby. Their work appears in journals such as SIAM Journal on Scientific Computing, Journal of Computational Physics, Journal of Scientific Computing, Computer Methods in Applied Mechanics and Engineering and SIAM/ASA Journal on Uncertainty Quantification.
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.