Hesham M. Eraqi
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 10%
- Social Psychology
- Artificial Intelligence
- Experimental and Cognitive Psychology
- Co-authors
- Mohamed MoustafaYehya AbouelnagaYacine Ghamri-DoudaneIbrahim SobhTamer ElBattSherif G. AlyHossam AbdelgawadMoustafa Youssef
- Topics
- Handwritten Text Recognition Techniques (4 papers)Autonomous Vehicle Technology and Safety (3 papers)Advanced Vision and Imaging (2 papers)
- Journals
- Communications of the ACMIEEE Transactions on Intelligent Transportation SystemsApplied Sciences
- Partner nations
- EgyptFranceUnited States
In The Last Decade
Hesham M. Eraqi
10 papers receiving 282 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 146
- Automotive Engineering 114
- Social Psychology 76
- Artificial Intelligence 75
- Experimental and Cognitive Psychology 50
Countries citing papers authored by Hesham M. Eraqi
This map shows the geographic impact of Hesham M. Eraqi'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 Hesham M. Eraqi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hesham M. Eraqi more than expected).
Fields of papers citing papers by Hesham M. Eraqi
This network shows the impact of papers produced by Hesham M. Eraqi. 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 Hesham M. Eraqi. The network helps show where Hesham M. Eraqi may publish in the future.
Co-authorship network of co-authors of Hesham M. Eraqi
This figure shows the co-authorship network connecting the top 25 collaborators of Hesham M. Eraqi. A scholar is included among the top collaborators of Hesham M. Eraqi 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 Hesham M. Eraqi. Hesham M. Eraqi 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 | 0 | |
| 3 | 4 | |
| 4 | 17 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | Driver Distraction Identification with an Ensemble of Convolutional Neural Networksbreakdown → | 220 |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 18 |
About Hesham M. Eraqi
Hesham M. Eraqi is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 13 papers that have together received 293 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Automotive Engineering (114 citations), Human-Computer Interaction (45 citations) and Computer Vision and Pattern Recognition (146 citations). Hesham M. Eraqi has collaborated with scholars based in Egypt, France and United States. Frequent co-authors include Mohamed Moustafa, Yehya Abouelnaga, Yacine Ghamri-Doudane, Ibrahim Sobh, Tamer ElBatt, Sherif G. Aly, Hossam Abdelgawad and Moustafa Youssef. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Intelligent Transportation Systems and Applied Sciences.
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.