Mohsen Rohani
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
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- Traffic and Road Safety
Papers in
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- Human Pose and Action Recognition 2
- Video Surveillance and Tracking Methods 2
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- Autonomous Vehicle Technology and Safety 4
- Co-authors
- Dominique Gruyer (4 shared papers)Denis Gingras (4 shared papers)Amir Rasouli (3 shared papers)Jun Luo (4 shared papers)Vincent Vigneron (1 shared paper)Peter Lakner (1 shared paper)Said Nader‐Esfahani (1 shared paper)Pascal Poupart (1 shared paper)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Intelligent Transportation Systems Magazine (1 paper)2022 IEEE Intelligent Vehicles Symposium (IV) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2 papers)
In The Last Decade
Mohsen Rohani
10 papers receiving 322 citations
Peers
Comparison fields: 5 of 37
- Automotive Engineering 125
- Safety, Risk, Reliability and Quality 56
- Computer Vision and Pattern Recognition 116
- Building and Construction 61
- Aerospace Engineering 69
Countries citing papers authored by Mohsen Rohani
This map shows the geographic impact of Mohsen Rohani'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 Mohsen Rohani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohsen Rohani more than expected).
Fields of papers citing papers by Mohsen Rohani
This network shows the impact of papers produced by Mohsen Rohani. 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 Mohsen Rohani. The network helps show where Mohsen Rohani may publish in the future.
Co-authors
The 8 scholars most cited alongside Mohsen Rohani, 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 | 2015 | 98 | |
| 2 | 2015 | 76 | |
| 3 | 2021 | 61 | |
| 4 | 2022 | 28 | |
| 5 | 2021 | 19 | |
| 6 | 2009 | 18 | |
| 7 | 2014 | 10 | |
| 8 | 2010 | 8 | |
| 9 | 2014 | 8 | |
| 10 | 2021 | 4 |
About Mohsen Rohani
Mohsen Rohani is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Building and Construction, having authored 10 papers that have together received 330 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Traffic Prediction and Management Techniques (3 papers), Human Pose and Action Recognition (2 papers), Anomaly Detection Techniques and Applications (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), Traffic and Road Safety (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Automotive Engineering (125 citations), Safety, Risk, Reliability and Quality (56 citations), Computer Vision and Pattern Recognition (116 citations), Building and Construction (61 citations) and Aerospace Engineering (69 citations). Mohsen Rohani has collaborated with scholars based in Canada, France and Iran. Frequent co-authors include Dominique Gruyer, Denis Gingras, Amir Rasouli, Jun Luo, Vincent Vigneron, Peter Lakner, Said Nader‐Esfahani and Pascal Poupart. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Intelligent Transportation Systems Magazine, 2022 IEEE Intelligent Vehicles Symposium (IV) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.