Mohamed Adnane Mahraz
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Neurology top 5%
- Radiology, Nuclear Medicine and Imaging
- Media Technology top 5%
- Co-authors
- Hamid TairiJamal RiffiAli YahyaouyMostafa El MallahiM’hammed SahnounMhamed SayyouriNikola S. Nikolov
- Topics
- Brain Tumor Detection and Classification (17 papers)Advanced Neural Network Applications (12 papers)Video Surveillance and Tracking Methods (7 papers)
- Journals
- Expert Systems with ApplicationsIEEE Transactions on Neural Networks and Learning SystemsApplied Sciences
- Partner nations
- MoroccoFranceUnited States
In The Last Decade
Mohamed Adnane Mahraz
56 papers receiving 550 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 287
- Artificial Intelligence 156
- Neurology 137
- Radiology, Nuclear Medicine and Imaging 111
- Media Technology 63
Countries citing papers authored by Mohamed Adnane Mahraz
This map shows the geographic impact of Mohamed Adnane Mahraz'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 Mohamed Adnane Mahraz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Adnane Mahraz more than expected).
Fields of papers citing papers by Mohamed Adnane Mahraz
This network shows the impact of papers produced by Mohamed Adnane Mahraz. 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 Mohamed Adnane Mahraz. The network helps show where Mohamed Adnane Mahraz may publish in the future.
Co-authorship network of co-authors of Mohamed Adnane Mahraz
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Adnane Mahraz. A scholar is included among the top collaborators of Mohamed Adnane Mahraz 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 Mohamed Adnane Mahraz. Mohamed Adnane Mahraz 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 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 31 | |
| 18 | 18 | |
| 19 | 3 | |
| 20 | 7 |
About Mohamed Adnane Mahraz
Mohamed Adnane Mahraz is a scholar working on Neurology, Computer Vision and Pattern Recognition and Media Technology, having authored 62 papers that have together received 581 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (17 papers), Advanced Neural Network Applications (12 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Neurology (137 citations), Computer Vision and Pattern Recognition (287 citations) and Media Technology (63 citations). Mohamed Adnane Mahraz has collaborated with scholars based in Morocco, France and United States. Frequent co-authors include Hamid Tairi, Jamal Riffi, Ali Yahyaouy, Mostafa El Mallahi, M’hammed Sahnoun, Mhamed Sayyouri and Nikola S. Nikolov. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning 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.