Lekbir Afraites

825 total citations
57 papers, 476 citations indexed

About

Lekbir Afraites is a scholar working on Mathematical Physics, Computer Vision and Pattern Recognition and Modeling and Simulation. According to data from OpenAlex, Lekbir Afraites has authored 57 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mathematical Physics, 24 papers in Computer Vision and Pattern Recognition and 14 papers in Modeling and Simulation. Recurrent topics in Lekbir Afraites's work include Numerical methods in inverse problems (24 papers), Image and Signal Denoising Methods (22 papers) and Advanced Mathematical Modeling in Engineering (12 papers). Lekbir Afraites is often cited by papers focused on Numerical methods in inverse problems (24 papers), Image and Signal Denoising Methods (22 papers) and Advanced Mathematical Modeling in Engineering (12 papers). Lekbir Afraites collaborates with scholars based in Morocco, France and Japan. Lekbir Afraites's co-authors include Amine Laghrib, Aissam Hadri, Mourad Nachaoui, Djalil Kateb, Marc Dambrine, Belaid Bouikhalene, Driss Meskine, Karsten Eppler, Ahmed S. Hendy and J. Hazart and has published in prestigious journals such as Journal of Computational Physics, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Lekbir Afraites

49 papers receiving 445 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lekbir Afraites Morocco 14 192 148 94 82 73 57 476
Majid Amirfakhrian Iran 11 33 0.2× 24 0.2× 31 0.3× 35 0.4× 45 0.6× 50 385
Marat S. Mukhametzhanov Italy 13 27 0.1× 180 1.2× 305 3.2× 62 0.8× 52 0.7× 27 586
Vugar E. Ismailov Azerbaijan 11 52 0.3× 23 0.2× 60 0.6× 53 0.6× 17 0.2× 35 390
Akbar Hashemi Borzabadi Iran 10 23 0.1× 16 0.1× 59 0.6× 38 0.5× 31 0.4× 53 331
Guo Huang China 9 86 0.4× 7 0.0× 18 0.2× 31 0.4× 6 0.1× 27 281
Nikolai P. Osmolovskii Poland 15 24 0.1× 86 0.6× 528 5.6× 75 0.9× 12 0.2× 45 898
Yu. G. Evtushenko Russia 13 24 0.1× 27 0.2× 234 2.5× 69 0.8× 29 0.4× 74 538
Damek Davis United States 8 32 0.2× 89 0.6× 197 2.1× 202 2.5× 3 0.0× 32 406

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
1.
Afraites, Lekbir, et al.. (2025). Existence of solution for a coupled diffusion PDE system for various noise reduction. Journal of Computational and Applied Mathematics. 463. 116521–116521.
2.
Afraites, Lekbir, et al.. (2025). Detecting an Immersed Obstacle in Stokes Fluid Flow Using the Coupled Complex Boundary Method. SIAM Journal on Control and Optimization. 63(2). 822–851. 1 indexed citations
3.
Laghrib, Amine, et al.. (2025). Enhancing image quality through fractional PDEs: A novel approach to image osmosis. Computers & Mathematics with Applications. 193. 54–76.
4.
Hadri, Aissam, et al.. (2024). A robust alternating direction method of multipliers numerical scheme for solving geometric inverse problems in a shape optimization setting. Computers & Mathematics with Applications. 175. 19–32. 1 indexed citations
5.
Hadri, Aissam, et al.. (2024). Physics-informed convolution gated recurrent unit network for solving an inverse problem. Neurocomputing. 602. 128254–128254. 3 indexed citations
6.
Hadri, Aissam, et al.. (2024). Non-smooth optimization algorithm to solve the LINEX soft support vector machine. ISA Transactions. 153. 322–333.
7.
Afraites, Lekbir, et al.. (2024). Alternating direction multiplier method to estimate an unknown source term in the time-fractional diffusion equation. Computers & Mathematics with Applications. 156. 195–206. 2 indexed citations
8.
Afraites, Lekbir, et al.. (2024). An inverse problem of determining the parameters in diffusion equations by using fractional physics-informed neural networks. Applied Numerical Mathematics. 208. 189–213. 3 indexed citations
9.
Laghrib, Amine, et al.. (2024). A variational PDNet network using a learning reaction–diffusion equation. Expert Systems with Applications. 249. 123605–123605. 3 indexed citations
10.
Afraites, Lekbir, et al.. (2024). Learning primal-dual approach for space-dependent diffusion coefficient identification in fractional diffusion equations. Journal of Computational Physics. 523. 113646–113646. 3 indexed citations
11.
Laghrib, Amine & Lekbir Afraites. (2023). Image denoising based on a variable spatially exponent PDE. Applied and Computational Harmonic Analysis. 68. 101608–101608. 8 indexed citations
12.
Laghrib, Amine, et al.. (2023). An Optimal Fluid Optical Flow Registration for Super-resolution with Lamé Parameters Learning. Journal of Optimization Theory and Applications. 197(2). 508–538. 4 indexed citations
13.
Afraites, Lekbir, et al.. (2023). An inverse problem of identifying two coefficients in a time-fractional reaction diffusion system. Discrete and Continuous Dynamical Systems - S. 18(1). 113–147. 2 indexed citations
14.
Afraites, Lekbir, et al.. (2023). Shape reconstruction for advection-diffusion problems by shape optimization techniques: The case of constant velocity. Discrete and Continuous Dynamical Systems - S. 18(1). 296–320.
15.
Afraites, Lekbir, et al.. (2023). A Connected farm Metamodeling Using Advanced Information Technologies for an Agriculture 4.0. Agris on-line Papers in Economics and Informatics. 15(2). 93–104. 3 indexed citations
16.
Afraites, Lekbir, et al.. (2023). An ADMM approach to a TV model for identifying two coefficients in the time-fractional diffusion system. Fractional Calculus and Applied Analysis. 26(4). 1964–1999. 1 indexed citations
17.
Afraites, Lekbir, et al.. (2021). A functional framework based on big data analytics for smart farming. Indonesian Journal of Electrical Engineering and Computer Science. 24(3). 1772–1772. 1 indexed citations
18.
Afraites, Lekbir, Aissam Hadri, & Amine Laghrib. (2019). A denoising model adapted for impulse and Gaussian noises using a constrained-PDE. Inverse Problems. 36(2). 25006–25006. 32 indexed citations
19.
Oufni, L., et al.. (2019). A new fast algorithm to achieve the dose uniformity around high dose rate brachytherapy stepping source using Tikhonov regularization. Australasian Physical & Engineering Sciences in Medicine. 42(3). 757–769. 6 indexed citations
20.
Afraites, Lekbir, et al.. (2012). Modelling the complex immune system response to cancer cells. Journal | MESA. 3(3). 269–283. 4 indexed citations

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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