Ehsan Kharazmi
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Model Reduction and Neural Networks
- Modeling and Simulation top 1%
- Fractional Differential Equations Solutions
Papers in
-
- Fractional Differential Equations Solutions 7
-
- Fluid Dynamics and Turbulent Flows 4
- Fluid Dynamics and Vibration Analysis 4
- Co-authors
- George Em Karniadakis (6 shared papers)Ameya D. Jagtap (1 shared paper)Zhongqiang Zhang (1 shared paper)Mohsen Zayernouri (6 shared papers)Min Cai (1 shared paper)Xiaoning Zheng (1 shared paper)Zhen Zhang (1 shared paper)Guang Lin (1 shared paper)
- Journals
- Computer Methods in Applied Mechanics and Engineering (3 papers)Journal of Fluids and Structures (2 papers)Nature Computational Science (1 paper)Journal of Sound and Vibration (1 paper)Nonlinear Dynamics (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Ehsan Kharazmi
15 papers receiving 1.5k citations
Ehsan Kharazmi's Hit Papers
Peers
Comparison fields: 5 of 82
- Statistical and Nonlinear Physics 1.1k
- Modeling and Simulation 180
- Computational Mechanics 474
- Statistics, Probability and Uncertainty 140
- Numerical Analysis 91
Countries citing papers authored by Ehsan Kharazmi
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
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-authors
The 18 scholars most cited alongside Ehsan Kharazmi, 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 | Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems Hit paper breakdown → | 2020 | 741 |
| 2 | hp-VPINNs: Variational physics-informed neural networks with domain decomposition Hit paper breakdown → | 2020 | 508 |
| 3 | 2021 | 90 | |
| 4 | 2017 | 35 | |
| 5 | 2018 | 32 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 17 | |
| 8 | 2019 | 14 | |
| 9 | 2020 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2022 | 6 | |
| 12 | 2015 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 2025 | 1 |
About Ehsan Kharazmi
Ehsan Kharazmi is a scholar working on Modeling and Simulation, Computational Mechanics, Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (7 papers), Model Reduction and Neural Networks (5 papers), Probabilistic and Robust Engineering Design (4 papers), Fluid Dynamics and Turbulent Flows (4 papers), Fluid Dynamics and Vibration Analysis (4 papers), Numerical methods in engineering (3 papers), Differential Equations and Numerical Methods (3 papers) and Wind and Air Flow Studies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Modeling and Simulation (180 citations), Computational Mechanics (474 citations), Statistics, Probability and Uncertainty (140 citations) and Numerical Analysis (91 citations). Ehsan Kharazmi has collaborated with scholars based in United States and China. Frequent co-authors include George Em Karniadakis, Ameya D. Jagtap, Zhongqiang Zhang, Mohsen Zayernouri, Min Cai, Xiaoning Zheng, Zhen Zhang, Guang Lin, Dixia Fan and Michael S. Triantafyllou. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Fluids and Structures, Nature Computational Science, Journal of Sound and Vibration and Nonlinear Dynamics.
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.