Lekbir Afraites

825 citations
57 papers · 476 indexed · h-index 14
Topics
Numerical methods in inverse problems (24 papers)Image and Signal Denoising Methods (22 papers)Advanced Mathematical Modeling in Engineering (12 papers)
Partner nations
MoroccoJapanFrance

In The Last Decade

Lekbir Afraites

49 papers receiving 445 citations

Peers

Lekbir Afraites
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 192
  • Mathematical Physics 148
  • Computational Theory and Mathematics 94
  • Computational Mechanics 82
  • Mechanics of Materials 73
Replace Majid Amirfakhrian with:
Majid Amirfakhrian Iran
Marat S. Mukhametzhanov Italy
Vugar E. Ismailov Azerbaijan
Guo Huang China
Akbar Hashemi Borzabadi Iran
Damek Davis United States
Nikolai P. Osmolovskii Poland
Hassane Bouzahir Morocco
Samir Adly France
Lekbir Afraites relative to Majid Amirfakhrian Iran Majid Amirfakhrian's profile →
Citations per field
00.5×6.5×
Majid Amirfakhrian · 1×
Citations per year

Countries citing papers authored by Lekbir Afraites

Since Specialization
Citations

This map shows the geographic impact of Lekbir Afraites'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 Lekbir Afraites with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lekbir Afraites more than expected).

Fields of papers citing papers by Lekbir Afraites

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lekbir Afraites. 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 Lekbir Afraites. The network helps show where Lekbir Afraites may publish in the future.

Co-authorship network of co-authors of Lekbir Afraites

This figure shows the co-authorship network connecting the top 25 collaborators of Lekbir Afraites. A scholar is included among the top collaborators of Lekbir Afraites 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 Lekbir Afraites. Lekbir Afraites is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Modelling the complex immune system response to cancer cells
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About Lekbir Afraites

Lekbir Afraites is a scholar working on Modeling and Simulation, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 57 papers that have together received 476 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (24 papers), Image and Signal Denoising Methods (22 papers) and Advanced Mathematical Modeling in Engineering (12 papers). The work is most often cited by research in Mathematical Physics (148 citations), Modeling and Simulation (72 citations) and Computer Vision and Pattern Recognition (192 citations). Lekbir Afraites has collaborated with scholars based in Morocco, Japan and France. Frequent co-authors include Amine Laghrib, Aissam Hadri, Mourad Nachaoui, Djalil Kateb, Marc Dambrine, Belaid Bouikhalene, Driss Meskine, Karsten Eppler, Ahmed S. Hendy and Mahmoud A. Zaky. Their work appears in journals such as Journal of Computational Physics, Expert Systems with Applications and Neurocomputing.

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.

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