Walid E. Gomaa
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
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- Traffic control and management
Papers in
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- Context-Aware Activity Recognition Systems 26
- Human Pose and Action Recognition 11
- Video Surveillance and Tracking Methods 4
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- Traffic control and management 10
- Co-authors
- Mohamed A. Khamis (15 shared papers)Ahmed H. Fares (5 shared papers)Tetsuji Ogawa (5 shared papers)Moustafa A. Youssef (3 shared papers)Mohamed E. Hussein (5 shared papers)Hisham El‐Shishiny (1 shared paper)Yasushi Makihara (6 shared papers)Yasushi Yagi (6 shared papers)
In The Last Decade
Walid E. Gomaa
103 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 354
- Control and Systems Engineering 287
- Computational Theory and Mathematics 185
- Artificial Intelligence 156
- Transportation 27
Countries citing papers authored by Walid E. Gomaa
This map shows the geographic impact of Walid E. Gomaa'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 Walid E. Gomaa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walid E. Gomaa more than expected).
Fields of papers citing papers by Walid E. Gomaa
This network shows the impact of papers produced by Walid E. Gomaa. 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 Walid E. Gomaa. The network helps show where Walid E. Gomaa may publish in the future.
Co-authors
The 25 scholars most cited alongside Walid E. Gomaa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 169 | |
| 2 | 2015 | 115 | |
| 3 | 2019 | 56 | |
| 4 | 2020 | 55 | |
| 5 | 2012 | 50 | |
| 6 | 2015 | 50 | |
| 7 | 2019 | 50 | |
| 8 | 2013 | 39 | |
| 9 | 2012 | 38 | |
| 10 | 2014 | 33 | |
| 11 | 2023 | 27 | |
| 12 | 2018 | 24 | |
| 13 | 2018 | 23 | |
| 14 | 2014 | 22 | |
| 15 | 2019 | 21 | |
| 16 | 2012 | 17 | |
| 17 | 2017 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2020 | 15 | |
| 20 | 2020 | 14 |
About Walid E. Gomaa
Walid E. Gomaa is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Theory and Mathematics, Artificial Intelligence and Biomedical Engineering, having authored 112 papers that have together received 1.2k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (26 papers), Human Pose and Action Recognition (11 papers), Traffic control and management (10 papers), Computability, Logic, AI Algorithms (9 papers), Gait Recognition and Analysis (6 papers), Indoor and Outdoor Localization Technologies (6 papers), Reinforcement Learning in Robotics (6 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (354 citations), Control and Systems Engineering (287 citations), Computational Theory and Mathematics (185 citations), Artificial Intelligence (156 citations) and Transportation (27 citations). Walid E. Gomaa has collaborated with scholars based in Egypt, Japan and France. Frequent co-authors include Mohamed A. Khamis, Ahmed H. Fares, Tetsuji Ogawa, Moustafa A. Youssef, Mohamed E. Hussein, Hisham El‐Shishiny, Yasushi Makihara, Yasushi Yagi, Dima Damen and Walaa Gouda. Their work appears in journals such as Engineering Applications of Artificial Intelligence, EPJ Quantum Technology, Neural Computing and Applications, IEEE Sensors Journal and Theoretical Computer Science.
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.