Amine Laghrib
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Computational Mechanics top 5%
- Mathematical Physics top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Abdelilah HakimAissam HadriLekbir AfraitesSaid RaghayMourad NachaouiÉric MoreauPascal MonasseFrançois Jauberteau
- Topics
- Image and Signal Denoising Methods (59 papers)Advanced Image Processing Techniques (42 papers)Sparse and Compressive Sensing Techniques (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsInformation Sciences
- Partner nations
- MoroccoFranceUnited Arab Emirates
In The Last Decade
Amine Laghrib
67 papers receiving 681 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 605
- Media Technology 237
- Computational Mechanics 153
- Mathematical Physics 72
- Statistical and Nonlinear Physics 64
Countries citing papers authored by Amine Laghrib
This map shows the geographic impact of Amine Laghrib'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 Amine Laghrib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amine Laghrib more than expected).
Fields of papers citing papers by Amine Laghrib
This network shows the impact of papers produced by Amine Laghrib. 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 Amine Laghrib. The network helps show where Amine Laghrib may publish in the future.
Co-authorship network of co-authors of Amine Laghrib
This figure shows the co-authorship network connecting the top 25 collaborators of Amine Laghrib. A scholar is included among the top collaborators of Amine Laghrib 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 Amine Laghrib. Amine Laghrib 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 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | 32 | |
| 19 | 42 | |
| 20 | 16 |
About Amine Laghrib
Amine Laghrib is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Mathematical Physics, having authored 80 papers that have together received 703 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (59 papers), Advanced Image Processing Techniques (42 papers) and Sparse and Compressive Sensing Techniques (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (605 citations), Media Technology (237 citations) and Modeling and Simulation (51 citations). Amine Laghrib has collaborated with scholars based in Morocco, France and United Arab Emirates. Frequent co-authors include Abdelilah Hakim, Aissam Hadri, Lekbir Afraites, Said Raghay, Mourad Nachaoui, Éric Moreau, Pascal Monasse, François Jauberteau and Abdeljalil Nachaoui. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information 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.