Anna Frishman
Impact in
- Computational Mechanics top 10%
- Fluid Dynamics and Turbulent Flows
- Combustion and flame dynamics
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- Particle Dynamics in Fluid Flows
Papers in
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- Fluid Dynamics and Turbulent Flows 11
- Combustion and flame dynamics 2
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- Model Reduction and Neural Networks 2
- Co-authors
- Gregory Falkovich (4 shared papers)Corentin Herbert (2 shared papers)Jason Laurie (1 shared paper)Tobias Grafke (3 shared papers)G. P. Berman (1 shared paper)K. N. Alekseev (1 shared paper)V. I. Tsifrinovich (1 shared paper)Pierre Ronceray (1 shared paper)
- Journals
- Physical Review Letters (5 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Infection and Immunity (1 paper)Physical Review Fluids (1 paper)Physical review. E (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Anna Frishman
13 papers receiving 149 citations
Peers
Comparison fields: 5 of 45
- Computational Mechanics 113
- Ocean Engineering 34
- Astronomy and Astrophysics 28
- Global and Planetary Change 35
- Atmospheric Science 29
Countries citing papers authored by Anna Frishman
This map shows the geographic impact of Anna Frishman'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 Anna Frishman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Frishman more than expected).
Fields of papers citing papers by Anna Frishman
This network shows the impact of papers produced by Anna Frishman. 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 Anna Frishman. The network helps show where Anna Frishman may publish in the future.
Co-authors
The 22 scholars most cited alongside Anna Frishman, 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 | 2018 | 37 | |
| 2 | 2017 | 34 | |
| 3 | 2013 | 20 | |
| 4 | 2017 | 19 | |
| 5 | 1992 | 10 | |
| 6 | 2015 | 8 | |
| 7 | 2014 | 8 | |
| 8 | 2022 | 5 | |
| 9 | 2020 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 3 | |
| 12 | Learning force fields from stochastic trajectories | 2019 | 1 |
| 13 | 2015 | 1 | |
| 14 | 2025 | 0 |
About Anna Frishman
Anna Frishman is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics, Atmospheric Science, Environmental Engineering and Global and Planetary Change, having authored 14 papers that have together received 155 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (11 papers), Wind and Air Flow Studies (3 papers), Meteorological Phenomena and Simulations (3 papers), Particle Dynamics in Fluid Flows (2 papers), Solar and Space Plasma Dynamics (2 papers), Combustion and flame dynamics (2 papers), Plant Water Relations and Carbon Dynamics (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Computational Mechanics (113 citations), Ocean Engineering (34 citations), Astronomy and Astrophysics (28 citations), Global and Planetary Change (35 citations) and Atmospheric Science (29 citations). Anna Frishman has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Gregory Falkovich, Corentin Herbert, Jason Laurie, Tobias Grafke, G. P. Berman, K. N. Alekseev, V. I. Tsifrinovich, Pierre Ronceray, Jeanne Marrazzo and Alex Liberzon. Their work appears in journals such as Physical Review Letters, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Infection and Immunity, Physical Review Fluids and Physical review. E.
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.