Mohammad Farazmand

1.5k total citations · 1 hit paper
32 papers, 1.0k citations indexed

About

Mohammad Farazmand is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Atmospheric Science. According to data from OpenAlex, Mohammad Farazmand has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistical and Nonlinear Physics, 19 papers in Computational Mechanics and 8 papers in Atmospheric Science. Recurrent topics in Mohammad Farazmand's work include Fluid Dynamics and Turbulent Flows (13 papers), Model Reduction and Neural Networks (9 papers) and Quantum chaos and dynamical systems (7 papers). Mohammad Farazmand is often cited by papers focused on Fluid Dynamics and Turbulent Flows (13 papers), Model Reduction and Neural Networks (9 papers) and Quantum chaos and dynamical systems (7 papers). Mohammad Farazmand collaborates with scholars based in United States, Switzerland and Canada. Mohammad Farazmand's co-authors include George Haller, Alireza Hadjighasem, Themistoklis P. Sapsis, Florian Huhn, Daniel Blazevski, Gary Froyland, Predrag Cvitanović, Ashley P. Willis, William J. Anderson and Bartosz Protas and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Science Advances.

In The Last Decade

Mohammad Farazmand

29 papers receiving 995 citations

Hit Papers

Defining coherent vortices objectively from the vorticity 2016 2026 2019 2022 2016 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohammad Farazmand United States 15 442 360 246 223 170 32 1.0k
Florian Huhn Spain 15 423 1.0× 156 0.4× 188 0.8× 199 0.9× 108 0.6× 29 830
Ana M. Mancho Spain 24 385 0.9× 675 1.9× 357 1.5× 414 1.9× 218 1.3× 75 1.7k
Colin J. Cotter United Kingdom 23 884 2.0× 151 0.4× 488 2.0× 217 1.0× 206 1.2× 109 1.7k
Alireza Hadjighasem United States 7 207 0.5× 135 0.4× 172 0.7× 185 0.8× 115 0.7× 9 559
Jeffrey B. Weiss United States 24 650 1.5× 333 0.9× 554 2.3× 464 2.1× 439 2.6× 52 1.6k
Ashley P. Willis United Kingdom 20 864 2.0× 114 0.3× 163 0.7× 57 0.3× 368 2.2× 45 1.2k
C. Basdevant France 18 852 1.9× 366 1.0× 456 1.9× 229 1.0× 312 1.8× 37 1.5k
Jean‐Luc Thiffeault United States 22 333 0.8× 439 1.2× 84 0.3× 73 0.3× 53 0.3× 65 1.2k
Rafail V. Abramov United States 15 168 0.4× 382 1.1× 291 1.2× 73 0.3× 348 2.0× 35 888
Ilya Timofeyev United States 15 187 0.4× 275 0.8× 410 1.7× 96 0.4× 396 2.3× 40 1.1k

Countries citing papers authored by Mohammad Farazmand

Since Specialization
Citations

This map shows the geographic impact of Mohammad Farazmand'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 Mohammad Farazmand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Farazmand more than expected).

Fields of papers citing papers by Mohammad Farazmand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Farazmand. 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 Mohammad Farazmand. The network helps show where Mohammad Farazmand may publish in the future.

Co-authorship network of co-authors of Mohammad Farazmand

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Farazmand. A scholar is included among the top collaborators of Mohammad Farazmand based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammad Farazmand. Mohammad Farazmand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Farazmand, Mohammad, et al.. (2026). Bridging the gap between deterministic and probabilistic approaches to state estimation. Physica D Nonlinear Phenomena. 490. 135150–135150.
2.
Farazmand, Mohammad, et al.. (2024). Enforcing conserved quantities in Galerkin truncation and finite volume discretization. Nonlinear Dynamics. 112(16). 14051–14069. 1 indexed citations
3.
Farazmand, Mohammad, et al.. (2024). Modeling correlated uncertainties in stochastic compartmental models. Mathematical Biosciences. 374. 109226–109226. 3 indexed citations
4.
Farazmand, Mohammad. (2024). Sparse Discrete Empirical Interpolation Method: State Estimation from Few Sensors. SIAM Journal on Scientific Computing. 46(6). A3658–A3680. 3 indexed citations
5.
Farazmand, Mohammad & Arvind K. Saibaba. (2023). Tensor-based flow reconstruction from optimally located sensor measurements. Journal of Fluid Mechanics. 962. 10 indexed citations
6.
Anderson, William & Mohammad Farazmand. (2023). Fast and scalable computation of shape-morphing nonlinear solutions with application to evolutional neural networks. Journal of Computational Physics. 498. 112649–112649. 7 indexed citations
7.
Farazmand, Mohammad, et al.. (2023). Stochastic compartmental models of the COVID-19 pandemic must have temporally correlated uncertainties. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 479(2269). 30 indexed citations
8.
Farazmand, Mohammad, et al.. (2022). Quantifying rare events in spotting: How far do wildfires spread?. Fire Safety Journal. 132. 103630–103630. 9 indexed citations
9.
Gallardo, Hugo, et al.. (2022). Model-assisted deep learning of rare extreme events from partial observations. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(4). 43112–43112. 8 indexed citations
10.
Farazmand, Mohammad, et al.. (2021). Mitigation of rare events in multistable systems driven by correlated noise. Physical review. E. 104(3). 34201–34201. 8 indexed citations
11.
Farazmand, Mohammad, et al.. (2021). Investigating climate tipping points under various emission reduction and carbon capture scenarios with a stochastic climate model. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 477(2256). 4 indexed citations
12.
Farazmand, Mohammad, et al.. (2021). Data-driven prediction of multistable systems from sparse measurements. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(6). 63118–63118. 6 indexed citations
13.
Farazmand, Mohammad & Themistoklis P. Sapsis. (2019). Closed-loop adaptive control of extreme events in a turbulent flow. Physical review. E. 100(3). 33110–33110. 14 indexed citations
14.
Farazmand, Mohammad, et al.. (2017). Relative periodic orbits form the backbone of turbulent pipe flow. Journal of Fluid Mechanics. 833. 274–301. 69 indexed citations
15.
Fedele, Francesco, C. Chandré, & Mohammad Farazmand. (2016). Kinematics of fluid particles on the sea surface: Hamiltonian theory. Journal of Fluid Mechanics. 801. 260–288. 14 indexed citations
16.
Farazmand, Mohammad & Themistoklis P. Sapsis. (2016). Dynamical indicators for the prediction of bursting phenomena in high-dimensional systems. Physical review. E. 94(3). 32212–32212. 42 indexed citations
17.
Haller, George, Alireza Hadjighasem, Mohammad Farazmand, & Florian Huhn. (2015). Defining and Computing Vortices Objectively from the Vorticity. Bulletin of the American Physical Society. 1 indexed citations
18.
Farazmand, Mohammad, Daniel Blazevski, & George Haller. (2014). Shearless transport barriers in unsteady two-dimensional flows and maps. Physica D Nonlinear Phenomena. 278-279. 44–57. 38 indexed citations
19.
Farazmand, Mohammad & George Haller. (2013). Attracting and repelling Lagrangian coherent structures from a single computation∗. 36 indexed citations
20.
Farazmand, Mohammad & George Haller. (2012). Computing Lagrangian coherent structures from their variational theory. Chaos An Interdisciplinary Journal of Nonlinear Science. 22(1). 13128–13128. 143 indexed citations

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.

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