Bassem Akoush
Impact in
-
- Advanced Combustion Engine Technologies
-
- Solar Thermal and Photovoltaic Systems
- Photovoltaic System Optimization Techniques
Papers in
-
- Combustion and flame dynamics 4
- Radiative Heat Transfer Studies 1
-
- Advanced Combustion Engine Technologies 4
- Co-authors
- Matthias Ihme (4 shared papers)Wai Tong Chung (2 shared papers)Muhammed A. Hassan (4 shared papers)Mohamed Abubakr (4 shared papers)A. Khalil (2 shared papers)Guillaume Vignat (2 shared papers)Edna R. Toro (1 shared paper)Pietro Elia Campana (1 shared paper)
- Journals
- Renewable Energy (3 papers)Proceedings of the Combustion Institute (2 papers)Combustion and Flame (1 paper)Energies (1 paper)Fuel (1 paper)
- Partner nations
- EgyptUnited StatesAustralia
In The Last Decade
Bassem Akoush
8 papers receiving 281 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Fluid Flow and Transfer Processes 42
- Renewable Energy, Sustainability and the Environment 79
- Computational Mechanics 89
- Statistical and Nonlinear Physics 49
- Artificial Intelligence 67
Countries citing papers authored by Bassem Akoush
This map shows the geographic impact of Bassem Akoush'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 Bassem Akoush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bassem Akoush more than expected).
Fields of papers citing papers by Bassem Akoush
This network shows the impact of papers produced by Bassem Akoush. 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 Bassem Akoush. The network helps show where Bassem Akoush may publish in the future.
Co-authors
The 17 scholars most cited alongside Bassem Akoush, 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 | A Review of Physics-Informed Machine Learning in Fluid Mechanics Hit paper breakdown → | 2023 | 115 |
| 2 | 2020 | 59 | |
| 3 | 2022 | 39 | |
| 4 | 2021 | 24 | |
| 5 | 2022 | 19 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 11 | |
| 8 | 2021 | 8 | |
| 9 | 2025 | 0 | |
| 10 | 2023 | 0 |
About Bassem Akoush
Bassem Akoush is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Renewable Energy, Sustainability and the Environment, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 10 papers that have together received 288 indexed citations. Recurring topics across this work include Combustion and flame dynamics (4 papers), Advanced Combustion Engine Technologies (4 papers), Photovoltaic System Optimization Techniques (4 papers), Solar Thermal and Photovoltaic Systems (3 papers), Fire dynamics and safety research (2 papers), Solar Radiation and Photovoltaics (2 papers), Radiative Heat Transfer Studies (1 paper) and Nuclear Engineering Thermal-Hydraulics (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (42 citations), Renewable Energy, Sustainability and the Environment (79 citations), Computational Mechanics (89 citations), Statistical and Nonlinear Physics (49 citations) and Artificial Intelligence (67 citations). Bassem Akoush has collaborated with scholars based in Egypt, United States and Australia. Frequent co-authors include Matthias Ihme, Wai Tong Chung, Muhammed A. Hassan, Mohamed Abubakr, A. Khalil, Guillaume Vignat, Edna R. Toro, Pietro Elia Campana, Assaad R. Masri and Mohy S. Mansour. Their work appears in journals such as Renewable Energy, Proceedings of the Combustion Institute, Combustion and Flame, Energies and Fuel.
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.