Abdelrahman Eldesokey
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Aerospace Engineering
- Environmental Engineering
- Instrumentation
- Co-authors
- Fahad Shahbaz KhanMichael FelsbergMohamed ElhelwMoataz M. AbdelwahabPeter WonkaBirgitta ThorslundJoakim JohnanderPer-Erik Forssén
- Topics
- Generative Adversarial Networks and Image Synthesis (2 papers)Advanced Vision and Imaging (2 papers)Video Surveillance and Tracking Methods (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceKTH Publication Database DiVA (KTH Royal Institute of Technology)
- Partner nations
- Saudi ArabiaSwedenEgypt
In The Last Decade
Abdelrahman Eldesokey
7 papers receiving 165 citations
Peers
Comparison fields: 5 of 33
- Computer Vision and Pattern Recognition 153
- Media Technology 68
- Aerospace Engineering 51
- Environmental Engineering 16
- Instrumentation 14
Countries citing papers authored by Abdelrahman Eldesokey
This map shows the geographic impact of Abdelrahman Eldesokey'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 Abdelrahman Eldesokey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdelrahman Eldesokey more than expected).
Fields of papers citing papers by Abdelrahman Eldesokey
This network shows the impact of papers produced by Abdelrahman Eldesokey. 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 Abdelrahman Eldesokey. The network helps show where Abdelrahman Eldesokey may publish in the future.
Co-authorship network of co-authors of Abdelrahman Eldesokey
This figure shows the co-authorship network connecting the top 25 collaborators of Abdelrahman Eldesokey. A scholar is included among the top collaborators of Abdelrahman Eldesokey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abdelrahman Eldesokey. Abdelrahman Eldesokey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | Cyclist collision avoidance using imagery sensor | 1 |
| 5 | 133 | |
| 6 | Propagating Confidences through CNNs for Sparse Data Regression | 25 |
| 7 | 4 | |
| 8 | 1 |
About Abdelrahman Eldesokey
Abdelrahman Eldesokey is a scholar working on Instrumentation, Computer Vision and Pattern Recognition and Media Technology, having authored 8 papers that have together received 167 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Vision and Imaging (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Media Technology (68 citations), Computer Vision and Pattern Recognition (153 citations) and Instrumentation (14 citations). Abdelrahman Eldesokey has collaborated with scholars based in Saudi Arabia, Sweden and Egypt. Frequent co-authors include Fahad Shahbaz Khan, Michael Felsberg, Mohamed Elhelw, Moataz M. Abdelwahab, Peter Wonka, Birgitta Thorslund, Joakim Johnander and Per-Erik Forssén. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and KTH Publication Database DiVA (KTH Royal Institute of Technology).
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.