Ashkan Rezaei
Impact in
- Environmental Engineering top 5%
- Groundwater and Watershed Analysis
- Hydrological Forecasting Using AI
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
Papers in
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- Adversarial Robustness in Machine Learning 1
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- Groundwater and Watershed Analysis 2
- Co-authors
- Seyed Amir Naghibi (2 shared papers)Hamid Reza Pourghasemi (1 shared paper)Zohre Sadat Pourtaghi (1 shared paper)Bahareh Kalantar (1 shared paper)Biswajeet Pradhan (1 shared paper)Brian D. Ziebart (2 shared papers)Fazle Karim (1 shared paper)Samuel Harford (1 shared paper)
- Journals
- Environmental Monitoring and Assessment (1 paper)IEEE Transactions on Systems Man and Cybernetics Systems (1 paper)Earth Science Informatics (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- IranUnited StatesAustralia
In The Last Decade
Ashkan Rezaei
5 papers receiving 395 citations
Peers
Comparison fields: 5 of 61
- Environmental Engineering 291
- Water Science and Technology 184
- Global and Planetary Change 245
- Geochemistry and Petrology 48
- Management, Monitoring, Policy and Law 33
Countries citing papers authored by Ashkan Rezaei
This map shows the geographic impact of Ashkan Rezaei'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 Ashkan Rezaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashkan Rezaei more than expected).
Fields of papers citing papers by Ashkan Rezaei
This network shows the impact of papers produced by Ashkan Rezaei. 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 Ashkan Rezaei. The network helps show where Ashkan Rezaei may publish in the future.
Co-authors
The 9 scholars most cited alongside Ashkan Rezaei, 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 | 2014 | 277 | |
| 2 | 2019 | 70 | |
| 3 | 2017 | 29 | |
| 4 | 2020 | 20 | |
| 5 | Fair Logistic Regression: An Adversarial Perspective. | 2019 | 1 |
About Ashkan Rezaei
Ashkan Rezaei is a scholar working on Artificial Intelligence, Environmental Engineering, Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Signal Processing, having authored 5 papers that have together received 397 indexed citations. Recurring topics across this work include Groundwater and Watershed Analysis (2 papers), Flood Risk Assessment and Management (2 papers), Water management and technologies (1 paper), Hydrology and Watershed Management Studies (1 paper), Time Series Analysis and Forecasting (1 paper), Ethics and Social Impacts of AI (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Environmental Engineering (291 citations), Water Science and Technology (184 citations), Global and Planetary Change (245 citations), Geochemistry and Petrology (48 citations) and Management, Monitoring, Policy and Law (33 citations). Ashkan Rezaei has collaborated with scholars based in Iran, United States and Australia. Frequent co-authors include Seyed Amir Naghibi, Hamid Reza Pourghasemi, Zohre Sadat Pourtaghi, Bahareh Kalantar, Biswajeet Pradhan, Brian D. Ziebart, Fazle Karim, Samuel Harford and Houshang Darabi. Their work appears in journals such as Environmental Monitoring and Assessment, IEEE Transactions on Systems Man and Cybernetics Systems, Earth Science Informatics, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.