Amine Laghrib

1.2k citations
92 papers · 837 · h-index 19

Impact in

Papers in

Amine Laghrib

77 papers receiving 810 citations

Peers

Amine Laghrib
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 668
  • Media Technology 260
  • Modeling and Simulation 59
  • Mathematical Physics 107
  • Computational Mechanics 164
Replace Abdelilah Hakim with:
Abdelilah Hakim Morocco
Aissam Hadri Morocco
Mourad Nachaoui Morocco
Wojciech Chojnacki Australia
Mohamed Yamni Morocco
Tanja Teuber Germany
Agnieszka Lisowska Poland
Yi-Fei Pu China
Joachim Stöckler Germany
Jian‐ao Lian United States
Amine Laghrib relative to Abdelilah Hakim Morocco Abdelilah Hakim's profile →
Citations per field
00.5×1.5×1.9×
Abdelilah Hakim · 1×
Citations per year

Countries citing papers authored by Amine Laghrib

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 10 scholars most cited alongside Amine Laghrib, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amine Laghrib Line = papers co-authored together Amine Laghrib links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201672
2 201643
3 201839
4 201937
5 201934
6 202033
7 201532
8 201731
9 201927
10 202125
11 202224
12 202124
13 202121
14 201519
15 202219
16 201719
17 202019
18 202218
19 202218
20 202118

About Amine Laghrib

Amine Laghrib is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Mathematical Physics and Computational Theory and Mathematics, having authored 92 papers that have together received 837 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (64 papers), Advanced Image Processing Techniques (47 papers), Sparse and Compressive Sensing Techniques (18 papers), Numerical methods in inverse problems (14 papers), Image Processing Techniques and Applications (14 papers), Advanced Mathematical Modeling in Engineering (10 papers), Advanced Image Fusion Techniques (10 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (668 citations), Media Technology (260 citations), Modeling and Simulation (59 citations), Mathematical Physics (107 citations) and Computational Mechanics (164 citations). Amine Laghrib has collaborated with scholars based in Morocco, France and United States. Frequent co-authors include Abdelilah Hakim, Aissam Hadri, Lekbir Afraites, Mourad Nachaoui, Said Raghay, Éric Moreau, Pascal Monasse, Abdeljalil Nachaoui, François Jauberteau and Imad Hafidi. Their work appears in journals such as Journal of the Franklin Institute, Inverse Problems and Imaging, Signal Processing Image Communication, Nonlinear Analysis Real World Applications and Applied Mathematical Modelling.

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.

Explore authors with similar magnitude of impact