Maher Moakher

3.9k total citations · 2 hit papers
48 papers, 2.7k citations indexed

About

Maher Moakher is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maher Moakher has authored 48 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 15 papers in Computational Mechanics and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maher Moakher's work include Image and Signal Denoising Methods (8 papers), Advanced Mathematical Modeling in Engineering (8 papers) and Numerical methods in inverse problems (7 papers). Maher Moakher is often cited by papers focused on Image and Signal Denoising Methods (8 papers), Advanced Mathematical Modeling in Engineering (8 papers) and Numerical methods in inverse problems (7 papers). Maher Moakher collaborates with scholars based in Tunisia, France and United States. Maher Moakher's co-authors include John H. Maddocks, Daiva Petkevičiūtė-Gerlach, K. Zakrzewska, Richard Lavery, Andrew N. Norris, Fernando J. Muzzio, Troy Shinbrot, Richard S. Falk, Bernard D. Coleman and David Atkinson and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Physical Chemistry Chemical Physics.

In The Last Decade

Maher Moakher

46 papers receiving 2.6k citations

Hit Papers

Conformational analysis of nucleic acids revisited: Curves+ 2005 2026 2012 2019 2009 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maher Moakher Tunisia 21 738 480 307 302 286 48 2.7k
Guo-Wei Wei United States 26 634 0.9× 316 0.7× 430 1.4× 125 0.4× 427 1.5× 46 2.3k
David Adalsteinsson United States 19 492 0.7× 1.2k 2.5× 162 0.5× 668 2.2× 203 0.7× 37 2.9k
G. Rodríguez United States 30 154 0.2× 258 0.5× 335 1.1× 326 1.1× 136 0.5× 132 2.6k
Konstantin Mischaikow United States 38 503 0.7× 571 1.2× 1.5k 4.8× 482 1.6× 76 0.3× 138 4.9k
Li‐Tien Cheng United States 20 216 0.3× 1.0k 2.1× 221 0.7× 240 0.8× 161 0.6× 42 1.9k
Ernst P. Mücke United States 9 256 0.3× 804 1.7× 374 1.2× 668 2.2× 120 0.4× 11 2.6k
Sigurd Angenent United States 33 390 0.5× 682 1.4× 897 2.9× 514 1.7× 56 0.2× 69 4.0k
Lisandro Dalcín Saudi Arabia 21 185 0.3× 975 2.0× 404 1.3× 94 0.3× 241 0.8× 79 2.7k
Barbara Kaltenbacher Austria 24 94 0.1× 672 1.4× 503 1.6× 148 0.5× 617 2.2× 132 2.6k

Countries citing papers authored by Maher Moakher

Since Specialization
Citations

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

Fields of papers citing papers by Maher Moakher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maher Moakher

This figure shows the co-authorship network connecting the top 25 collaborators of Maher Moakher. A scholar is included among the top collaborators of Maher Moakher 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 Maher Moakher. Maher Moakher 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.
Moakher, Maher, et al.. (2024). Unsupervised deep learning for geometric feature detection and multilevel-multimodal image registration. Applied Intelligence. 54(17-18). 7878–7896.
2.
Moakher, Maher, et al.. (2021). A fast method for solving quasi-pentadiagonal Toeplitz linear systems and its application to the Lax–Wendroff scheme. Mathematics and Computers in Simulation. 188. 77–86. 2 indexed citations
3.
Moakher, Maher, et al.. (2019). A Nonstandard Higher-Order Variational Model for Speckle Noise Removal and Thin-Structure Detection. 52(4). 394–424. 2 indexed citations
4.
Haddar, Houssem, et al.. (2018). The derivation of homogenized diffusion kurtosis models for diffusion MRI. Journal of Magnetic Resonance. 298. 48–57. 2 indexed citations
5.
Moakher, Maher, et al.. (2016). A multiscale fourth‐order model for the image inpainting and low‐dimensional sets recovery. Mathematical Methods in the Applied Sciences. 40(10). 3637–3650. 10 indexed citations
6.
Congedo, Marco, Bijan Afsari, Alexandre Barachant, & Maher Moakher. (2015). Approximate Joint Diagonalization and Geometric Mean of Symmetric Positive Definite Matrices. PLoS ONE. 10(4). e0121423–e0121423. 26 indexed citations
7.
Aboulaïch, Rajae, et al.. (2013). A Nash-game approach to joint image restoration and segmentation. Applied Mathematical Modelling. 38(11-12). 3038–3053. 13 indexed citations
9.
Moakher, Maher, et al.. (2013). A stabilized Lagrange multiplier method for the enriched finite-element approximation of Tresca contact problems of cracked elastic bodies. Computer Methods in Applied Mechanics and Engineering. 270. 178–200. 4 indexed citations
10.
Renard, Yves, et al.. (2012). Numerical convergence and stability of mixed formulation with X-FEM cut-off. 1 indexed citations
11.
Renard, Yves, et al.. (2011). Numerical convergence and stability of mixed formulation with X-FEM cut-off. HAL (Le Centre pour la Communication Scientifique Directe).
12.
Moakher, Maher, et al.. (2011). Means of Hermitian positive-definite matrices based on the log-determinant α-divergence function. Linear Algebra and its Applications. 436(7). 1872–1889. 42 indexed citations
13.
Lankaš, Filip, et al.. (2009). On the parameterization of rigid base and basepair models of DNA from molecular dynamics simulations. Physical Chemistry Chemical Physics. 11(45). 10565–10565. 65 indexed citations
14.
Lavery, Richard, Maher Moakher, John H. Maddocks, Daiva Petkevičiūtė-Gerlach, & K. Zakrzewska. (2009). Conformational analysis of nucleic acids revisited: Curves+. Nucleic Acids Research. 37(17). 5917–5929. 621 indexed citations breakdown →
15.
Ghosh, Aurobrata, Rachid Deriche, & Maher Moakher. (2009). Ternary Quartic approach for positive 4th order diffusion tensors revisited. 618–621. 12 indexed citations
16.
Moakher, Maher & Paul Batchelor. (2005). 17 Symmetric Positive-Definite Matrices: From Geometry to Applications and Visualization. UCL Discovery (University College London). 1 indexed citations
17.
Batchelor, Philip, Maher Moakher, David Atkinson, Fernando Calamante, & Alan Connelly. (2004). A rigorous framework for diffusion tensor calculus. Magnetic Resonance in Medicine. 53(1). 221–225. 126 indexed citations
18.
Shinbrot, Troy, Albert Alexander, Maher Moakher, & Fernando J. Muzzio. (1999). Chaotic granular mixing. Chaos An Interdisciplinary Journal of Nonlinear Science. 9(3). 611–620. 28 indexed citations
19.
Coleman, Bernard D., et al.. (1998). Similarity solutions in the theory of curvature driven diffusion along planar curves: I. Symmetric curves expanding in time. Physica D Nonlinear Phenomena. 121(3-4). 263–274. 10 indexed citations
20.
Coleman, Bernard D., Richard S. Falk, & Maher Moakher. (1996). Space–Time Finite Element Methods for Surface Diffusion with Applications to the Theory of the Stability of Cylinders. SIAM Journal on Scientific Computing. 17(6). 1434–1448. 34 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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