Amir Mosavi
Impact in
- Environmental Engineering top 0.2%
- Hydrological Forecasting Using AI
- Water Science and Technology top 0.5%
- Hydrology and Watershed Management Studies
Papers in
-
- Energy Load and Power Forecasting 35
- Co-authors
- Shahaboddin Shamshirband (54 shared papers)Kwok‐wing Chau (51 shared papers)Annamária R. Várkonyi-Kóczy (31 shared papers)Sina Ardabili (48 shared papers)Narjes Nabipour (26 shared papers)Bahram Choubin (12 shared papers)Shahab S. Band (68 shared papers)Timon Rabczuk (14 shared papers)
In The Last Decade
Amir Mosavi
422 papers receiving 15.6k citations
Amir Mosavi's Hit Papers
Peers
Comparison fields: 5 of 208
- Environmental Engineering 2.8k
- Water Science and Technology 2.0k
- Global and Planetary Change 2.6k
- Building and Construction 1.4k
- Modeling and Simulation 430
Countries citing papers authored by Amir Mosavi
This map shows the geographic impact of Amir Mosavi'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 Amir Mosavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Mosavi more than expected).
Fields of papers citing papers by Amir Mosavi
This network shows the impact of papers produced by Amir Mosavi. 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 Amir Mosavi. The network helps show where Amir Mosavi may publish in the future.
Co-authors
The 25 scholars most cited alongside Amir Mosavi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 441 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines Hit paper breakdown → | 2018 | 633 |
| 2 | State of the Art of Machine Learning Models in Energy Systems, a Systematic Review Hit paper breakdown → | 2019 | 434 |
| 3 | Sustainable Business Models: A Review Hit paper breakdown → | 2019 | 317 |
| 4 | Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis Hit paper breakdown → | 2020 | 298 |
| 5 | Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method Hit paper breakdown → | 2019 | 293 |
| 6 | 2020 | 253 | |
| 7 | Deep Learning for Stock Market Prediction Hit paper breakdown → | 2020 | 245 |
| 8 | 2020 | 244 | |
| 9 | 2019 | 226 | |
| 10 | Evaluating urban flood risk using hybrid method of TOPSIS and machine learning Hit paper breakdown → | 2021 | 212 |
| 11 | 2020 | 197 | |
| 12 | 2021 | 181 | |
| 13 | 2019 | 179 | |
| 14 | 2019 | 167 | |
| 15 | 2019 | 156 | |
| 16 | 2018 | 155 | |
| 17 | SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT Hit paper breakdown → | 2021 | 136 |
| 18 | 2020 | 135 | |
| 19 | 2019 | 133 | |
| 20 | 2021 | 130 |
About Amir Mosavi
Amir Mosavi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Environmental Engineering, Civil and Structural Engineering and Water Science and Technology, having authored 441 papers that have together received 16.0k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (40 papers), Energy Load and Power Forecasting (35 papers), Hydrology and Watershed Management Studies (33 papers), Flood Risk Assessment and Management (21 papers), COVID-19 diagnosis using AI (18 papers), Innovative concrete reinforcement materials (18 papers), Infrastructure Maintenance and Monitoring (16 papers) and Building Energy and Comfort Optimization (16 papers). The work is most often cited by research in Environmental Engineering (2.8k citations), Water Science and Technology (2.0k citations), Global and Planetary Change (2.6k citations), Building and Construction (1.4k citations) and Modeling and Simulation (430 citations). Amir Mosavi has collaborated with scholars based in Hungary, Iran and Germany. Frequent co-authors include Shahaboddin Shamshirband, Kwok‐wing Chau, Annamária R. Várkonyi-Kóczy, Sina Ardabili, Narjes Nabipour, Bahram Choubin, Shahab S. Band, Timon Rabczuk, Farzaneh Sajedi Hosseini and S. Shahab. Their work appears in journals such as Engineering Applications of Computational Fluid Mechanics, IEEE Access, Sustainability, Energies and Computers, materials & continua/Computers, materials & continua (Print).
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.