Amin Ghadami
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- Probabilistic and Robust Engineering Design 13
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- Model Reduction and Neural Networks 6
- Civil and Structural Engineering top 10%
- Structural Health Monitoring Techniques 5
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- Wind and Air Flow Studies 5
- Sustainability and Ecological Systems Analysis 4
- Computational Mechanics top 10%
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- Ecosystem dynamics and resilience 11
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- Ultrasonics and Acoustic Wave Propagation 5
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- Reinforcement Learning in Robotics 3
- Co-authors
- Bogdan I. EpureanuHamid Reza MirdamadiCarlos E. S. CesnikMehdi BehzadPejman RohaniShiyang ChenJohn M. DrakeCristina Riso
- Cited by
- Statistics, Probability and UncertaintyStatistical and Nonlinear PhysicsCivil and Structural Engineering
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (2 papers)AIAA Journal (3 papers)
- Partner nations
- United StatesIranFrance
In The Last Decade
Amin Ghadami
31 papers receiving 466 citations
Peers
Comparison fields: 5 of 89
- Statistics, Probability and Uncertainty 130
- Statistical and Nonlinear Physics 111
- Civil and Structural Engineering 110
- Environmental Engineering 62
- Computational Mechanics 81
Countries citing papers authored by Amin Ghadami
This map shows the geographic impact of Amin Ghadami'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 Amin Ghadami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amin Ghadami more than expected).
Fields of papers citing papers by Amin Ghadami
This network shows the impact of papers produced by Amin Ghadami. 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 Amin Ghadami. The network helps show where Amin Ghadami may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Amin Ghadami, 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 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 62 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 33 | |
| 12 | 2021 | 16 | |
| 13 | 2020 | 11 | |
| 14 | 2018 | 16 | |
| 15 | 2018 | 27 | |
| 16 | 2017 | 26 | |
| 17 | 2016 | 21 | |
| 18 | 2013 | 6 | |
| 19 | 2013 | 19 | |
| 20 | 2012 | 39 |
About Amin Ghadami
Amin Ghadami is a scholar working on Statistics, Probability and Uncertainty, Environmental Engineering and Statistical and Nonlinear Physics, having authored 33 papers that have together received 489 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (13 papers), Ecosystem dynamics and resilience (11 papers), Model Reduction and Neural Networks (6 papers), Wind and Air Flow Studies (5 papers), Ultrasonics and Acoustic Wave Propagation (5 papers), Structural Health Monitoring Techniques (5 papers), Sustainability and Ecological Systems Analysis (4 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (130 citations), Statistical and Nonlinear Physics (111 citations) and Civil and Structural Engineering (110 citations). Amin Ghadami has collaborated with scholars based in United States, Iran and France. Frequent co-authors include Bogdan I. Epureanu, Hamid Reza Mirdamadi, Carlos E. S. Cesnik, Mehdi Behzad, Pejman Rohani, Shiyang Chen, John M. Drake, Cristina Riso, Guilhem Michon and Xingyu Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and AIAA Journal.
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.