Omid Rahbari
- Electrical and Electronic Engineering top 10%
- Automotive Engineering top 5%
- Aerospace Engineering
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Co-authors
- Majid VafaeipourFarivar FazelpourMarc A. RosenNoshin OmarPeter Van den BosscheReza ShirmohammadiMichel FeidtJean-Marc Timmermans
- Topics
- Advanced Battery Technologies Research (8 papers)Electric Vehicles and Infrastructure (7 papers)Solar Radiation and Photovoltaics (5 papers)
In The Last Decade
Omid Rahbari
18 papers receiving 542 citations
Peers
Comparison fields: 5 of 66
- Electrical and Electronic Engineering 411
- Automotive Engineering 274
- Aerospace Engineering 85
- Control and Systems Engineering 81
- Artificial Intelligence 68
Countries citing papers authored by Omid Rahbari
This map shows the geographic impact of Omid Rahbari'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 Omid Rahbari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omid Rahbari more than expected).
Fields of papers citing papers by Omid Rahbari
This network shows the impact of papers produced by Omid Rahbari. 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 Omid Rahbari. The network helps show where Omid Rahbari may publish in the future.
Co-authorship network of co-authors of Omid Rahbari
This figure shows the co-authorship network connecting the top 25 collaborators of Omid Rahbari. A scholar is included among the top collaborators of Omid Rahbari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Omid Rahbari. Omid Rahbari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 25 | |
| 5 | 13 | |
| 6 | 76 | |
| 7 | Statistical analysis of wind and solar energy potential in Tehran | 9 |
| 8 | 6 | |
| 9 | 7 | |
| 10 | Performance of wavelet neural network and ANFIS algorithms for short-term prediction of solar radiation and wind velocities | 2 |
| 11 | 55 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 54 | |
| 15 | 14 | |
| 16 | An Artificial Neural Network Approach to Predict Wind Velocity Time-Series in Tehran | 6 |
| 17 | 60 | |
| 18 | 208 | |
| 19 | CFD simulation of hydrodynamics of gas-solid two-phase flow for different geometries of solid particles | 2 |
About Omid Rahbari
Omid Rahbari is a scholar working on Automotive Engineering, Energy Engineering and Power Technology and Electrical and Electronic Engineering, having authored 19 papers that have together received 553 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (8 papers), Electric Vehicles and Infrastructure (7 papers) and Solar Radiation and Photovoltaics (5 papers). The work is most often cited by research in Automotive Engineering (274 citations), Energy Engineering and Power Technology (23 citations) and Electrical and Electronic Engineering (411 citations). Omid Rahbari has collaborated with scholars based in Iran, Canada and Belgium. Frequent co-authors include Majid Vafaeipour, Farivar Fazelpour, Marc A. Rosen, Noshin Omar, Peter Van den Bossche, Reza Shirmohammadi, Michel Feidt, Jean-Marc Timmermans, Omar Hegazy and Joeri Van Mierlo. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Energy Conversion and Management and Energy.
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.