Mostafa Merras
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering
- Artificial Intelligence
- Media Technology top 5%
- Geology top 10%
- Co-authors
- Khalid SatoriAbderrahim SaaidiNabil El AkkadWalid El‐ShafaiTorki AltameemMostafa M. FoudaEl Arbi Abdellaoui Alaoui
- Topics
- Advanced Vision and Imaging (16 papers)Optical measurement and interference techniques (9 papers)Robotics and Sensor-Based Localization (8 papers)
- Partner nations
- MoroccoEgyptSaudi Arabia
In The Last Decade
Mostafa Merras
24 papers receiving 292 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 250
- Aerospace Engineering 68
- Artificial Intelligence 58
- Media Technology 58
- Geology 38
Countries citing papers authored by Mostafa Merras
This map shows the geographic impact of Mostafa Merras'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 Mostafa Merras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mostafa Merras more than expected).
Fields of papers citing papers by Mostafa Merras
This network shows the impact of papers produced by Mostafa Merras. 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 Mostafa Merras. The network helps show where Mostafa Merras may publish in the future.
Co-authorship network of co-authors of Mostafa Merras
This figure shows the co-authorship network connecting the top 25 collaborators of Mostafa Merras. A scholar is included among the top collaborators of Mostafa Merras 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 Mostafa Merras. Mostafa Merras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 22 | |
| 9 | 16 | |
| 10 | 21 | |
| 11 | 18 | |
| 12 | 23 | |
| 13 | 14 | |
| 14 | 17 | |
| 15 | 12 | |
| 16 | 1 | |
| 17 | ROBUST METHOD FOR SELF-CALIBRATION OF CAMERAS HAVING THE VARYING INTRINSIC PARAMETERS | 11 |
| 18 | ROBUST METHOD FOR CAMERA CALIBRATION WITH VARYING PARAMETERS USING HYBRID MODIFIED GENETIC SIMPLEX ALGORITHM | 5 |
| 19 | 26 | |
| 20 | 12 |
About Mostafa Merras
Mostafa Merras is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 312 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (16 papers), Optical measurement and interference techniques (9 papers) and Robotics and Sensor-Based Localization (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (250 citations), Geology (38 citations) and Media Technology (58 citations). Mostafa Merras has collaborated with scholars based in Morocco, Egypt and Saudi Arabia. Frequent co-authors include Khalid Satori, Abderrahim Saaidi, Nabil El Akkad, Walid El‐Shafai, Torki Altameem, Mostafa M. Fouda and El Arbi Abdellaoui Alaoui. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications and Soft Computing.
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.