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 (6 shared papers)Huey‐Wen Liang (2 shared papers)Abdollah Dehzangi (1 shared paper)Anthony T. Chronopoulos (1 shared paper)Mehdi Sookhak (1 shared paper)Hela Elmannai (1 shared paper)Amir Mosavi (1 shared paper)
In The Last Decade
Rasoul Ameri
13 papers receiving 267 citations
Peers
Comparison fields: 5 of 93
- Health Informatics 44
- Industrial and Manufacturing Engineering 40
- Environmental Engineering 53
- Health Information Management 16
- Water Science and Technology 40
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 | 118 | |
| 2 | 2023 | 57 | |
| 3 | 2022 | 37 | |
| 4 | 2023 | 17 | |
| 5 | 2024 | 8 | |
| 6 | 2022 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2025 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 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 14 papers that have together received 276 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (3 papers), Energy Load and Power Forecasting (3 papers), Hydrology and Watershed Management Studies (2 papers), Handwritten Text Recognition Techniques (2 papers), Solar Radiation and Photovoltaics (2 papers), Photovoltaic System Optimization Techniques (1 paper), COVID-19 diagnosis using AI (1 paper) and Image Processing and 3D Reconstruction (1 paper). The work is most often cited by research in Health Informatics (44 citations), Industrial and Manufacturing Engineering (40 citations), Environmental Engineering (53 citations), Health Information Management (16 citations) and Water Science and Technology (40 citations). Rasoul Ameri has collaborated with scholars based in Taiwan, Iran and Yemen. Frequent co-authors include Shahab S. Band, Chung-Chian Hsu, Huey‐Wen Liang, Abdollah Dehzangi, Anthony T. Chronopoulos, Mehdi Sookhak, Hela Elmannai, Amir Mosavi, Tao Hai and Kwok‐wing Chau. Their work appears in journals such as Engineering Applications of Computational Fluid Mechanics, Information Sciences, Journal of Building Engineering, Alexandria Engineering Journal and Ecotoxicology and Environmental Safety.
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.