Nabil El Akkad
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Aerospace Engineering
- Mathematical Physics
- Co-authors
- Khalid SatoriAbderrahim SaaidiMostafa MerrasHassan SatoriMohamed BenslimaneWalid El‐ShafaiSamir KabbajTorki Altameem
- Topics
- Advanced Vision and Imaging (17 papers)Chaos-based Image/Signal Encryption (14 papers)Optical measurement and interference techniques (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- MoroccoSaudi ArabiaEgypt
In The Last Decade
Nabil El Akkad
55 papers receiving 567 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 411
- Artificial Intelligence 160
- Media Technology 99
- Aerospace Engineering 76
- Mathematical Physics 37
Countries citing papers authored by Nabil El Akkad
This map shows the geographic impact of Nabil El Akkad'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 Nabil El Akkad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nabil El Akkad more than expected).
Fields of papers citing papers by Nabil El Akkad
This network shows the impact of papers produced by Nabil El Akkad. 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 Nabil El Akkad. The network helps show where Nabil El Akkad may publish in the future.
Co-authorship network of co-authors of Nabil El Akkad
This figure shows the co-authorship network connecting the top 25 collaborators of Nabil El Akkad. A scholar is included among the top collaborators of Nabil El Akkad 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 Nabil El Akkad. Nabil El Akkad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 22 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 16 | |
| 11 | 16 | |
| 12 | 3 | |
| 13 | 14 | |
| 14 | 12 | |
| 15 | 10 | |
| 16 | 4 | |
| 17 | 22 | |
| 18 | 42 | |
| 19 | 23 | |
| 20 | ROBUST METHOD FOR SELF-CALIBRATION OF CAMERAS HAVING THE VARYING INTRINSIC PARAMETERS | 11 |
About Nabil El Akkad
Nabil El Akkad is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Mathematical Physics, having authored 62 papers that have together received 613 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (17 papers), Chaos-based Image/Signal Encryption (14 papers) and Optical measurement and interference techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (411 citations), Media Technology (99 citations) and Geology (32 citations). Nabil El Akkad has collaborated with scholars based in Morocco, Saudi Arabia and Egypt. Frequent co-authors include Khalid Satori, Abderrahim Saaidi, Mostafa Merras, Hassan Satori, Mohamed Benslimane, Walid El‐Shafai, Samir Kabbaj, Torki Altameem, Rajkumar Singh Rathore and Chaminda Hewage. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.