Ali Harakeh
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Instrumentation top 5%
Papers in
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- Advanced Neural Network Applications 5
- Advanced Vision and Imaging 3
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- Adversarial Robustness in Machine Learning 3
- Anomaly Detection Techniques and Applications 3
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Steven L. Waslander (8 shared papers)Jason S. Ku (2 shared papers)Jungwook Lee (2 shared papers)Melissa Mozifian (1 shared paper)Di Feng (1 shared paper)Klaus Dietmayer (1 shared paper)Seán Walsh (1 shared paper)Elie Shammas (2 shared papers)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
In The Last Decade
Ali Harakeh
10 papers receiving 1.5k citations
Ali Harakeh's Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 1.2k
- Instrumentation 129
- Geology 185
- Automotive Engineering 322
- Aerospace Engineering 658
Countries citing papers authored by Ali Harakeh
This map shows the geographic impact of Ali Harakeh'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 Ali Harakeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Harakeh more than expected).
Fields of papers citing papers by Ali Harakeh
This network shows the impact of papers produced by Ali Harakeh. 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 Ali Harakeh. The network helps show where Ali Harakeh may publish in the future.
Co-authors
The 14 scholars most cited alongside Ali Harakeh, 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 | Joint 3D Proposal Generation and Object Detection from View Aggregation Hit paper breakdown → | 2018 | 1041 |
| 2 | 2018 | 203 | |
| 3 | 2021 | 190 | |
| 4 | 2018 | 20 | |
| 5 | Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors | 2021 | 17 |
| 6 | 2023 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2015 | 11 | |
| 9 | 2023 | 4 | |
| 10 | 2016 | 3 |
About Ali Harakeh
Ali Harakeh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Automotive Engineering and Environmental Engineering, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Adversarial Robustness in Machine Learning (3 papers), Advanced Vision and Imaging (3 papers), Anomaly Detection Techniques and Applications (3 papers), Robotics and Sensor-Based Localization (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Autonomous Vehicle Technology and Safety (2 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Instrumentation (129 citations), Geology (185 citations), Automotive Engineering (322 citations) and Aerospace Engineering (658 citations). Ali Harakeh has collaborated with scholars based in Canada, Lebanon and Germany. Frequent co-authors include Steven L. Waslander, Jason S. Ku, Jungwook Lee, Melissa Mozifian, Di Feng, Klaus Dietmayer, Seán Walsh, Elie Shammas, Daniel Asmar and Liam Paull. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the AAAI Conference on Artificial Intelligence.
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.