David Sondak
Impact in
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- Model Reduction and Neural Networks
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows
- Advanced Numerical Methods in Computational Mathematics
- Fluid Dynamics and Vibration Analysis
Papers in
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- Fluid Dynamics and Turbulent Flows 10
- Advanced Numerical Methods in Computational Mathematics 4
- Computational Fluid Dynamics and Aerodynamics 4
- Lattice Boltzmann Simulation Studies 3
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- Model Reduction and Neural Networks 8
- Advanced Thermodynamics and Statistical Mechanics 2
- Co-authors
- Pavlos Protopapas (8 shared papers)Marios Mattheakis (4 shared papers)Leslie Smith (2 shared papers)Devansh Agarwal (2 shared papers)Shuheng Liu (2 shared papers)Rui Fang (1 shared paper)Assad A. Oberai (6 shared papers)Sauro Succi (1 shared paper)
- Journals
- Physical review. E (4 papers)Journal of Computational Physics (1 paper)Computer Methods in Applied Mechanics and Engineering (1 paper)International Journal for Numerical Methods in Biomedical Engineering (1 paper)Physics of Plasmas (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
David Sondak
20 papers receiving 326 citations
Peers
Comparison fields: 5 of 53
- Statistical and Nonlinear Physics 198
- Computational Mechanics 152
- Statistics, Probability and Uncertainty 20
- Numerical Analysis 12
- Artificial Intelligence 63
Countries citing papers authored by David Sondak
This map shows the geographic impact of David Sondak'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 David Sondak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sondak more than expected).
Fields of papers citing papers by David Sondak
This network shows the impact of papers produced by David Sondak. 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 David Sondak. The network helps show where David Sondak may publish in the future.
Co-authors
The 25 scholars most cited alongside David Sondak, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 83 | |
| 2 | 2022 | 61 | |
| 3 | 2019 | 41 | |
| 4 | 2015 | 30 | |
| 5 | 2021 | 24 | |
| 6 | 2021 | 14 | |
| 7 | 2016 | 13 | |
| 8 | 2015 | 13 | |
| 9 | 2014 | 12 | |
| 10 | 2024 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 6 | |
| 13 | Finding multiple solutions of odes with neural networks | 2020 | 4 |
| 14 | 2012 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2010 | 3 | |
| 17 | Towards a stabilized finite element method for the MHD equations | 2010 | 2 |
| 18 | 2017 | 2 | |
| 19 | LES models for incompressible magnetohydrodynamics derived from the variational multiscale formulation | 2012 | 1 |
| 20 | Novel residual-based large eddy simulation turbulence models for incompressible magnetohydrodynamics | 2013 | 1 |
About David Sondak
David Sondak is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Artificial Intelligence and Control and Systems Engineering, having authored 21 papers that have together received 336 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (10 papers), Model Reduction and Neural Networks (8 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers), Computational Physics and Python Applications (3 papers), Lattice Boltzmann Simulation Studies (3 papers), Advanced Mathematical Modeling in Engineering (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (198 citations), Computational Mechanics (152 citations), Statistics, Probability and Uncertainty (20 citations), Numerical Analysis (12 citations) and Artificial Intelligence (63 citations). David Sondak has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Pavlos Protopapas, Marios Mattheakis, Leslie Smith, Devansh Agarwal, Shuheng Liu, Rui Fang, Assad A. Oberai, Sauro Succi, Fabian Waleffe and Stephen Roberts. Their work appears in journals such as Physical review. E, Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Biomedical Engineering and Physics of Plasmas.
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.