Hazem Rashed
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
Papers in
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- Advanced Neural Network Applications 5
- Advanced Vision and Imaging 4
- Video Surveillance and Tracking Methods 3
- Advanced Image and Video Retrieval Techniques 1
- Optical measurement and interference techniques 1
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- Autonomous Vehicle Technology and Safety 2
- Co-authors
- Senthil Yogamani (8 shared papers)Ahmad El Sallab (2 shared papers)Omar A. Nasr (1 shared paper)Mohamed Elhelw (3 shared papers)Pavel Křížek (3 shared papers)Pascal Vasseur (2 shared papers)Yohan Dupuis (2 shared papers)Paul Honeiné (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (1 paper)arXiv (Cornell University) (1 paper)Electronic Imaging (1 paper)
In The Last Decade
Hazem Rashed
8 papers receiving 177 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 141
- Instrumentation 10
- Geology 15
- Automotive Engineering 32
- Environmental Engineering 36
Countries citing papers authored by Hazem Rashed
This map shows the geographic impact of Hazem Rashed'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 Hazem Rashed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hazem Rashed more than expected).
Fields of papers citing papers by Hazem Rashed
This network shows the impact of papers produced by Hazem Rashed. 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 Hazem Rashed. The network helps show where Hazem Rashed may publish in the future.
Co-authors
The 11 scholars most cited alongside Hazem Rashed, 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 | 2019 | 74 | |
| 2 | 2022 | 38 | |
| 3 | 2019 | 22 | |
| 4 | 2019 | 19 | |
| 5 | 2019 | 14 | |
| 6 | 2019 | 9 | |
| 7 | 2020 | 4 | |
| 8 | 2022 | 3 |
About Hazem Rashed
Hazem Rashed is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Radiology, Nuclear Medicine and Imaging and Environmental Engineering, having authored 8 papers that have together received 183 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (4 papers), Video Surveillance and Tracking Methods (3 papers), Robotics and Sensor-Based Localization (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Optical measurement and interference techniques (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (141 citations), Instrumentation (10 citations), Geology (15 citations), Automotive Engineering (32 citations) and Environmental Engineering (36 citations). Hazem Rashed has collaborated with scholars based in France and Egypt. Frequent co-authors include Senthil Yogamani, Ahmad El Sallab, Omar A. Nasr, Mohamed Elhelw, Pavel Křížek, Pascal Vasseur, Yohan Dupuis, Paul Honeiné, Varun Ravi Kumar and Michal Uřičář. Their work appears in journals such as IEEE Robotics and Automation Letters, arXiv (Cornell University) and Electronic Imaging.
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.