Arvind K. Saibaba
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
-
- Probabilistic and Robust Engineering Design
Papers in
-
- Sparse and Compressive Sensing Techniques 8
-
- Matrix Theory and Algorithms 6
- Co-authors
- Peter K. Kitanidis (9 shared papers)Misha E. Kilmer (5 shared papers)Alen Alexanderian (2 shared papers)Jonghyun Lee (1 shared paper)Shuchin Aeron (1 shared paper)Scot M. Miller (6 shared papers)Julianne Chung (5 shared papers)Mohammad Farazmand (2 shared papers)
- Journals
- SIAM Journal on Matrix Analysis and Applications (4 papers)SIAM Journal on Scientific Computing (3 papers)Numerical Linear Algebra with Applications (3 papers)Journal of Computational Physics (2 papers)Geoscientific model development (2 papers)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Arvind K. Saibaba
32 papers receiving 335 citations
Peers
Comparison fields: 5 of 58
- Computational Mathematics 65
- Statistics, Probability and Uncertainty 49
- Computational Theory and Mathematics 89
- Mathematical Physics 42
- Computational Mechanics 92
Countries citing papers authored by Arvind K. Saibaba
This map shows the geographic impact of Arvind K. Saibaba'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 Arvind K. Saibaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind K. Saibaba more than expected).
Fields of papers citing papers by Arvind K. Saibaba
This network shows the impact of papers produced by Arvind K. Saibaba. 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 Arvind K. Saibaba. The network helps show where Arvind K. Saibaba may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind K. Saibaba, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 48 | |
| 2 | 2015 | 42 | |
| 3 | 2018 | 38 | |
| 4 | 2012 | 33 | |
| 5 | A flexible Krylov solver for shifted systems with application to oscillatory hydraulic tomography | 2016 | 25 |
| 6 | 2020 | 22 | |
| 7 | 2015 | 22 | |
| 8 | 2012 | 18 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2022 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2014 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2015 | 3 |
About Arvind K. Saibaba
Arvind K. Saibaba is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Statistical and Nonlinear Physics, Artificial Intelligence and Geophysics, having authored 37 papers that have together received 356 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Geophysical and Geoelectrical Methods (6 papers), Matrix Theory and Algorithms (6 papers), Probabilistic and Robust Engineering Design (6 papers), Gaussian Processes and Bayesian Inference (6 papers), Tensor decomposition and applications (5 papers), Soil Geostatistics and Mapping (5 papers) and Model Reduction and Neural Networks (5 papers). The work is most often cited by research in Computational Mathematics (65 citations), Statistics, Probability and Uncertainty (49 citations), Computational Theory and Mathematics (89 citations), Mathematical Physics (42 citations) and Computational Mechanics (92 citations). Arvind K. Saibaba has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Peter K. Kitanidis, Misha E. Kilmer, Alen Alexanderian, Jonghyun Lee, Shuchin Aeron, Scot M. Miller, Julianne Chung, Mohammad Farazmand, Marikate Mountain and M. Trudeau. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, SIAM Journal on Scientific Computing, Numerical Linear Algebra with Applications, Journal of Computational Physics and Geoscientific model development.
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.