Ibrahim Sobh
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Robotic Path Planning Algorithms
Papers in
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- Robotic Path Planning Algorithms 2
- Advanced Neural Network Applications 2
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- Autonomous Vehicle Technology and Safety 5
- Co-authors
- Senthil Kumar Yogamani (5 shared papers)Bangalore Ravi Kiran (3 shared papers)Patrick Mannion (3 shared papers)Patrick Pérez (3 shared papers)Ahmad A. Al Sallab (1 shared paper)Ahmad El Sallab (2 shared papers)Sherif Abdelkarim (2 shared papers)Michal Uřičář (1 shared paper)
In The Last Decade
Ibrahim Sobh
16 papers receiving 295 citations
Peers
Comparison fields: 5 of 63
- Automotive Engineering 108
- Computer Vision and Pattern Recognition 106
- Artificial Intelligence 137
- Control and Systems Engineering 64
- Computer Graphics and Computer-Aided Design 8
Countries citing papers authored by Ibrahim Sobh
This map shows the geographic impact of Ibrahim Sobh'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 Ibrahim Sobh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ibrahim Sobh more than expected).
Fields of papers citing papers by Ibrahim Sobh
This network shows the impact of papers produced by Ibrahim Sobh. 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 Ibrahim Sobh. The network helps show where Ibrahim Sobh may publish in the future.
Co-authors
The 21 scholars most cited alongside Ibrahim Sobh, 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 | 2021 | 108 | |
| 2 | 2019 | 39 | |
| 3 | 2019 | 38 | |
| 4 | 2019 | 29 | |
| 5 | End-To-End Multi-Modal Sensors Fusion System For Urban Automated Driving | 2018 | 29 |
| 6 | YOLO4D: A Spatio-temporal Approach for Real-time Multi-object Detection and Classification from LiDAR Point Clouds | 2018 | 23 |
| 7 | 2021 | 15 | |
| 8 | 2022 | 7 | |
| 9 | 2015 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2020 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2021 | 0 | |
| 18 | 2024 | 0 |
About Ibrahim Sobh
Ibrahim Sobh is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Human-Computer Interaction, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 18 papers that have together received 304 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (5 papers), Gaze Tracking and Assistive Technology (3 papers), EEG and Brain-Computer Interfaces (2 papers), Traffic Prediction and Management Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers), Robotic Path Planning Algorithms (2 papers), Sleep and Work-Related Fatigue (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Automotive Engineering (108 citations), Computer Vision and Pattern Recognition (106 citations), Artificial Intelligence (137 citations), Control and Systems Engineering (64 citations) and Computer Graphics and Computer-Aided Design (8 citations). Ibrahim Sobh has collaborated with scholars based in France, Egypt and Ireland. Frequent co-authors include Senthil Kumar Yogamani, Bangalore Ravi Kiran, Patrick Mannion, Patrick Pérez, Ahmad A. Al Sallab, Ahmad El Sallab, Sherif Abdelkarim, Michal Uřičář, Pavel Křížek and Patrick Denny. Their work appears in journals such as IEEE Access, Communications of the ACM, IEEE Transactions on Intelligent Transportation Systems, Journal of Imaging Science and Technology and Arabian Journal for Science and Engineering.
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.