Rachid Benslimane
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 5%
- Archeology top 5%
- Artificial Intelligence
- Geology top 10%
- Co-authors
- L. D’OrazioE. MartuscelliTaoufiq GadiKhalil MaalmiSaïd Ouatik El AlaouiHamid BennisHasnae BenkiraneElisabetta Princi
- Topics
- Optical measurement and interference techniques (7 papers)Image Retrieval and Classification Techniques (7 papers)Industrial Vision Systems and Defect Detection (7 papers)
In The Last Decade
Rachid Benslimane
36 papers receiving 268 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 107
- Industrial and Manufacturing Engineering 73
- Archeology 51
- Artificial Intelligence 47
- Geology 40
Countries citing papers authored by Rachid Benslimane
This map shows the geographic impact of Rachid Benslimane'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 Rachid Benslimane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachid Benslimane more than expected).
Fields of papers citing papers by Rachid Benslimane
This network shows the impact of papers produced by Rachid Benslimane. 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 Rachid Benslimane. The network helps show where Rachid Benslimane may publish in the future.
Co-authorship network of co-authors of Rachid Benslimane
This figure shows the co-authorship network connecting the top 25 collaborators of Rachid Benslimane. A scholar is included among the top collaborators of Rachid Benslimane 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 Rachid Benslimane. Rachid Benslimane 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 | 3 | |
| 3 | 9 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 5 | |
| 9 | Nouvelle approche pour la reconnaissance des caractères arabes imprimés | 1 |
| 10 | 3 | |
| 11 | A Genetic Algorithm for Motion Estimation | 8 |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 15 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | 16 |
About Rachid Benslimane
Rachid Benslimane is a scholar working on Archeology, Computer Vision and Pattern Recognition and Theoretical Computer Science, having authored 38 papers that have together received 291 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (7 papers), Image Retrieval and Classification Techniques (7 papers) and Industrial Vision Systems and Defect Detection (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (73 citations), Geology (40 citations) and Architecture (10 citations). Rachid Benslimane has collaborated with scholars based in Morocco, France and Italy. Frequent co-authors include L. D’Orazio, E. Martuscelli, Taoufiq Gadi, Khalil Maalmi, Saïd Ouatik El Alaoui, Hamid Bennis, Hasnae Benkirane, Elisabetta Princi, Silvia Vicini and Patrick Gorria. Their work appears in journals such as Pattern Recognition Letters, Computer-Aided Design and Annals of Forest Science.
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.