Rasoul Ameri
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Industrial Vision Systems and Defect Detection
Papers in
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- Hydrological Forecasting Using AI 3
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- Solar Radiation and Photovoltaics 2
- Neural Networks and Applications 1
- Co-authors
- Shahab S. Band (12 shared papers)Chung-Chian Hsu (7 shared papers)Huey‐Wen Liang (2 shared papers)Abdollah Dehzangi (1 shared paper)Anthony Theodore Chronopoulos (1 shared paper)Mehdi Sookhak (1 shared paper)Hao-Ting Pai (6 shared papers)Chi-Min Shu (1 shared paper)
In The Last Decade
Rasoul Ameri
14 papers receiving 382 citations
Peers
Comparison fields: 5 of 93
- Health Informatics 47
- Industrial and Manufacturing Engineering 51
- Environmental Engineering 62
- Health Information Management 18
- Artificial Intelligence 115
Countries citing papers authored by Rasoul Ameri
This map shows the geographic impact of Rasoul Ameri'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 Rasoul Ameri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rasoul Ameri more than expected).
Fields of papers citing papers by Rasoul Ameri
This network shows the impact of papers produced by Rasoul Ameri. 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 Rasoul Ameri. The network helps show where Rasoul Ameri may publish in the future.
Co-authors
The 25 scholars most cited alongside Rasoul Ameri, 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 | 2023 | 179 | |
| 2 | 2023 | 87 | |
| 3 | 2022 | 38 | |
| 4 | 2023 | 22 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 9 | |
| 8 | 2022 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2025 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2026 | 1 |
About Rasoul Ameri
Rasoul Ameri is a scholar working on Environmental Engineering, Artificial Intelligence, Water Science and Technology, Health Informatics and Physical Therapy, Sports Therapy and Rehabilitation, having authored 15 papers that have together received 396 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (3 papers), Hydrological Forecasting Using AI (3 papers), Solar Radiation and Photovoltaics (2 papers), Hydrology and Watershed Management Studies (2 papers), Handwritten Text Recognition Techniques (2 papers), Wind Energy Research and Development (1 paper), COVID-19 diagnosis using AI (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Health Informatics (47 citations), Industrial and Manufacturing Engineering (51 citations), Environmental Engineering (62 citations), Health Information Management (18 citations) and Artificial Intelligence (115 citations). Rasoul Ameri has collaborated with scholars based in Taiwan, Iran and China. Frequent co-authors include Shahab S. Band, Chung-Chian Hsu, Huey‐Wen Liang, Abdollah Dehzangi, Anthony Theodore Chronopoulos, Mehdi Sookhak, Hao-Ting Pai, Chi-Min Shu, Tao Hai and Myriam Hadjouni. Their work appears in journals such as Engineering Applications of Computational Fluid Mechanics, Ecotoxicology and Environmental Safety, Water Resources Management, Engineering Applications of Artificial Intelligence and Expert Systems with Applications.
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.