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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- Solar Radiation and Photovoltaics 2
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- Hydrological Forecasting Using AI 3
- Co-authors
- Shahab S. Band (12 shared papers)Chung-Chian Hsu (7 shared papers)Huey‐Wen Liang (2 shared papers)Mehdi Sookhak (1 shared paper)Abdollah Dehzangi (1 shared paper)Anthony T. Chronopoulos (1 shared paper)Myriam Hadjouni (1 shared paper)Hela Elmannai (1 shared paper)
In The Last Decade
Rasoul Ameri
13 papers receiving 329 citations
Peers
Comparison fields: 5 of 90
- Health Informatics 45
- Industrial and Manufacturing Engineering 46
- Environmental Engineering 56
- Health Information Management 15
- Artificial Intelligence 104
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 | 150 | |
| 2 | 2023 | 73 | |
| 3 | 2022 | 37 | |
| 4 | 2023 | 20 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 8 | |
| 9 | 2024 | 7 | |
| 10 | 2025 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2026 | 0 | |
| 15 | 2023 | 0 |
About Rasoul Ameri
Rasoul Ameri is a scholar working on Artificial Intelligence, Environmental Engineering, Water Science and Technology, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 338 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (3 papers), Hydrological Forecasting Using AI (3 papers), Handwritten Text Recognition Techniques (2 papers), Solar Radiation and Photovoltaics (2 papers), Hydrology and Watershed Management Studies (2 papers), Vehicle emissions and performance (1 paper), Surface Roughness and Optical Measurements (1 paper) and Noise Effects and Management (1 paper). The work is most often cited by research in Health Informatics (45 citations), Industrial and Manufacturing Engineering (46 citations), Environmental Engineering (56 citations), Health Information Management (15 citations) and Artificial Intelligence (104 citations). Rasoul Ameri has collaborated with scholars based in Taiwan, Iran and Hungary. Frequent co-authors include Shahab S. Band, Chung-Chian Hsu, Huey‐Wen Liang, Mehdi Sookhak, Abdollah Dehzangi, Anthony T. Chronopoulos, Myriam Hadjouni, Hela Elmannai, Kwok‐wing Chau and Tao Hai. Their work appears in journals such as Engineering Applications of Computational Fluid Mechanics, Expert Systems with Applications, Ecotoxicology and Environmental Safety, Journal of NeuroEngineering and Rehabilitation and Engineering Applications of 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.