Ehsan Kharazmi

2.3k total citations · 2 hit papers
15 papers, 1.4k citations indexed

About

Ehsan Kharazmi is a scholar working on Modeling and Simulation, Computational Mechanics and Statistical and Nonlinear Physics. According to data from OpenAlex, Ehsan Kharazmi has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Modeling and Simulation, 6 papers in Computational Mechanics and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Ehsan Kharazmi's work include Fractional Differential Equations Solutions (7 papers), Model Reduction and Neural Networks (5 papers) and Fluid Dynamics and Turbulent Flows (4 papers). Ehsan Kharazmi is often cited by papers focused on Fractional Differential Equations Solutions (7 papers), Model Reduction and Neural Networks (5 papers) and Fluid Dynamics and Turbulent Flows (4 papers). Ehsan Kharazmi collaborates with scholars based in United States and China. Ehsan Kharazmi's co-authors include George Em Karniadakis, Ameya D. Jagtap, Zhongqiang Zhang, Mohsen Zayernouri, Min Cai, Zhen Zhang, Xiaoning Zheng, Guang Lin, Michael S. Triantafyllou and Dixia Fan and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Sound and Vibration and Nonlinear Dynamics.

In The Last Decade

Ehsan Kharazmi

15 papers receiving 1.3k citations

Hit Papers

Conservative physics-informed neural networks on discrete... 2020 2026 2022 2024 2020 2020 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems
    2020 693 citations Ameya D. Jagtap, Ehsan Kharazmi et al. Computer Methods in Applied Mechanics and Engineering profile →
  2. hp-VPINNs: Variational physics-informed neural networks with domain decomposition
    2020 467 citations Ehsan Kharazmi, Zhongqiang Zhang et al. Computer Methods in Applied Mechanics and Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ehsan Kharazmi United States 10 1.0k 461 210 203 175 15 1.4k
Yibo Yang United States 11 646 0.6× 280 0.6× 217 1.0× 145 0.7× 38 0.2× 23 1.2k
Hanwen Wang China 5 604 0.6× 262 0.6× 192 0.9× 149 0.7× 36 0.2× 11 908
Minglang Yin United States 9 947 0.9× 483 1.0× 246 1.2× 262 1.3× 22 0.1× 14 1.6k
Bing Yu China 4 655 0.6× 293 0.6× 160 0.8× 67 0.3× 47 0.3× 9 848
Liang Yan China 21 235 0.2× 205 0.4× 167 0.8× 95 0.5× 140 0.8× 78 1.5k
Han Gao United States 6 884 0.9× 479 1.0× 181 0.9× 221 1.1× 16 0.1× 6 1.3k
Anindya Chatterjee India 14 419 0.4× 420 0.9× 51 0.2× 200 1.0× 71 0.4× 71 1.6k
Saifon Chaturantabut Thailand 6 1.4k 1.3× 719 1.6× 67 0.3× 157 0.8× 22 0.1× 15 1.7k
Xiaowei Jin China 8 757 0.7× 675 1.5× 113 0.5× 347 1.7× 15 0.1× 21 1.2k
Jens Berg Sweden 9 419 0.4× 279 0.6× 95 0.5× 57 0.3× 40 0.2× 11 656

Countries citing papers authored by Ehsan Kharazmi

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Kharazmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehsan Kharazmi

This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Kharazmi. A scholar is included among the top collaborators of Ehsan Kharazmi 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 Ehsan Kharazmi. Ehsan Kharazmi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Kharazmi, Ehsan, et al.. (2025). DeepVIVONet: Using deep neural operators to optimize the location of sensors with application to vortex-induced vibrations. Journal of Fluids and Structures. 137. 104330–104330. 1 indexed citations
2.
Kharazmi, Ehsan, et al.. (2022). Fractional Buffer Layers: Absorbing Boundary Conditions for Wave Propagation. Communications in Computational Physics. 31(2). 331–369. 2 indexed citations
3.
Kharazmi, Ehsan, et al.. (2022). Resonances of a forced van der Pol equation with parametric damping. Nonlinear Dynamics. 111(6). 5269–5285. 5 indexed citations
4.
Kharazmi, Ehsan, et al.. (2021). Anomalous Nonlinear Dynamics Behavior of Fractional Viscoelastic Beams. Journal of Computational and Nonlinear Dynamics. 16(11). 111005–111005. 16 indexed citations
5.
Kharazmi, Ehsan, Min Cai, Xiaoning Zheng, et al.. (2021). Identifiability and predictability of integer- and fractional-order epidemiological models using physics-informed neural networks. Nature Computational Science. 1(11). 744–753. 83 indexed citations
6.
Kharazmi, Ehsan, Dixia Fan, Zhicheng Wang, & Michael S. Triantafyllou. (2021). Inferring vortex induced vibrations of flexible cylinders using physics-informed neural networks. Journal of Fluids and Structures. 107. 103367–103367. 19 indexed citations
7.
Kharazmi, Ehsan, Zhi‐Cheng Wang, Dixia Fan, et al.. (2021). From Data to Assessment Models, Demonstrated through a Digital Twin of Marine Risers. Offshore Technology Conference. 10 indexed citations
8.
Kharazmi, Ehsan, et al.. (2020). A Unified Petrov–Galerkin Spectral Method and Fast Solver for Distributed-Order Partial Differential Equations. Communications on Applied Mathematics and Computation. 3(1). 61–90. 11 indexed citations
9.
Jagtap, Ameya D., Ehsan Kharazmi, & George Em Karniadakis. (2020). Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems. Computer Methods in Applied Mechanics and Engineering. 365. 113028–113028. 693 indexed citations breakdown →
10.
Kharazmi, Ehsan, Zhongqiang Zhang, & George Em Karniadakis. (2020). hp-VPINNs: Variational physics-informed neural networks with domain decomposition. Computer Methods in Applied Mechanics and Engineering. 374. 113547–113547. 467 indexed citations breakdown →
11.
Kharazmi, Ehsan & Mohsen Zayernouri. (2019). Operator-Based Uncertainty Quantification of Stochastic Fractional Partial Differential Equations. 4(4). 5 indexed citations
12.
Kharazmi, Ehsan & Mohsen Zayernouri. (2019). Fractional Sensitivity Equation Method: Application to Fractional Model Construction. Journal of Scientific Computing. 80(1). 110–140. 14 indexed citations
13.
Kharazmi, Ehsan & Mohsen Zayernouri. (2018). Fractional pseudo-spectral methods for distributed-order fractional PDEs. International Journal of Computer Mathematics. 95(6-7). 1340–1361. 31 indexed citations
14.
Kharazmi, Ehsan, Mohsen Zayernouri, & George Em Karniadakis. (2017). A Petrov–Galerkin spectral element method for fractional elliptic problems. Computer Methods in Applied Mechanics and Engineering. 324. 512–536. 35 indexed citations
15.
Kharazmi, Ehsan, et al.. (2015). Asymmetric post-flutter oscillations of a cantilever due to a dynamic follower force. Journal of Sound and Vibration. 340. 253–266. 6 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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