M. A. Aziz-Alaoui

3.2k total citations
102 papers, 2.4k citations indexed

About

M. A. Aziz-Alaoui is a scholar working on Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health and Computer Networks and Communications. According to data from OpenAlex, M. A. Aziz-Alaoui has authored 102 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Statistical and Nonlinear Physics, 39 papers in Public Health, Environmental and Occupational Health and 37 papers in Computer Networks and Communications. Recurrent topics in M. A. Aziz-Alaoui's work include Mathematical and Theoretical Epidemiology and Ecology Models (38 papers), Nonlinear Dynamics and Pattern Formation (35 papers) and Evolution and Genetic Dynamics (26 papers). M. A. Aziz-Alaoui is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (38 papers), Nonlinear Dynamics and Pattern Formation (35 papers) and Evolution and Genetic Dynamics (26 papers). M. A. Aziz-Alaoui collaborates with scholars based in France, China and Morocco. M. A. Aziz-Alaoui's co-authors include Cyrille Bertelle, Zaid Odibat, Christophe Letellier, Radouane Yafia, R. Yamapi, Jinhu Lü, Ali Moussaoui, K. Murali, Guanrong Chen and Sudeshna Sinha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physics Letters A.

In The Last Decade

M. A. Aziz-Alaoui

99 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. A. Aziz-Alaoui France 22 1.4k 905 785 693 663 102 2.4k
Zhidong Teng China 31 1.4k 1.0× 789 0.9× 980 1.2× 984 1.4× 643 1.0× 186 3.2k
Sze‐Bi Hsu Taiwan 30 1.9k 1.3× 1.1k 1.3× 636 0.8× 947 1.4× 487 0.7× 93 2.9k
Yongli Song China 32 2.4k 1.7× 1.5k 1.6× 1.5k 2.0× 901 1.3× 659 1.0× 122 3.3k
Qamar Din Pakistan 27 1.6k 1.1× 632 0.7× 736 0.9× 628 0.9× 448 0.7× 112 2.1k
Ranjit Kumar Upadhyay India 30 2.2k 1.6× 1.5k 1.7× 973 1.2× 896 1.3× 657 1.0× 204 3.2k
Masayasu Mimura Japan 30 1.5k 1.1× 818 0.9× 737 0.9× 1.4k 2.0× 280 0.4× 114 3.1k
N. F. Britton United Kingdom 25 1.2k 0.8× 1.2k 1.3× 504 0.6× 693 1.0× 253 0.4× 82 3.1k
Stephen A. Gourley United Kingdom 28 2.2k 1.5× 1.2k 1.3× 588 0.7× 1.0k 1.4× 154 0.2× 96 2.9k
Jicai Huang China 21 1.2k 0.9× 875 1.0× 442 0.6× 438 0.6× 135 0.2× 69 1.5k
Syed Abbas India 29 892 0.6× 496 0.5× 497 0.6× 1.0k 1.5× 320 0.5× 196 2.7k

Countries citing papers authored by M. A. Aziz-Alaoui

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Aziz-Alaoui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Aziz-Alaoui. 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 M. A. Aziz-Alaoui. The network helps show where M. A. Aziz-Alaoui may publish in the future.

Co-authorship network of co-authors of M. A. Aziz-Alaoui

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Aziz-Alaoui. A scholar is included among the top collaborators of M. A. Aziz-Alaoui 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 M. A. Aziz-Alaoui. M. A. Aziz-Alaoui 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.
Aziz-Alaoui, M. A., et al.. (2025). Consensus dynamics and coherence in hierarchical small-world networks. Networks and Heterogeneous Media. 20(2). 482–499. 1 indexed citations
2.
Mondal, Argha, et al.. (2024). Emergent dynamics in fractional-order Wilson–Cowan neural network systems. Chaos Solitons & Fractals. 181. 114687–114687. 3 indexed citations
3.
Provitolo, Damienne, Nathalie Verdière, Cyrille Bertelle, et al.. (2023). Modeling and Analysis of the Impact of Risk Culture on Human Behavior during a Catastrophic Event. Sustainability. 15(14). 11063–11063. 2 indexed citations
4.
Mondal, Argha, et al.. (2022). The generation of diverse traveling pulses and its solution scheme in an excitable slow-fast dynamics. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(8). 83121–83121. 1 indexed citations
5.
Provitolo, Damienne, Abdel Halim Boudoukha, Nathalie Verdière, et al.. (2022). Saisir les comportements humains en situation de catastrophes : proposition d’une démarche méthodologique immersive. Cybergeo. 4 indexed citations
6.
Mondal, Argha, et al.. (2022). Emergence of Canard induced mixed mode oscillations in a slow–fast dynamics of a biophysical excitable model. Chaos Solitons & Fractals. 164. 112669–112669. 10 indexed citations
7.
8.
Aziz-Alaoui, M. A., et al.. (2021). SIARD model and effect of lockdown on the dynamics of COVID-19 disease with non total immunity. Mathematical Modelling of Natural Phenomena. 16. 31–31. 7 indexed citations
9.
Aziz-Alaoui, M. A., et al.. (2020). Spectra of generalized windmill networks: Analytical solutions and applications. International Journal of Modern Physics C. 31(11). 2050159–2050159. 2 indexed citations
10.
Aziz-Alaoui, M. A., et al.. (2018). Permanence and Extinction of a Diffusive Predator–Prey Model with Robin Boundary Conditions. Acta Biotheoretica. 66(4). 367–378. 2 indexed citations
11.
Aziz-Alaoui, M. A., et al.. (2017). A network model for control of dengue epidemic using sterile insect technique. Mathematical Biosciences & Engineering. 15(2). 441–460. 24 indexed citations
12.
Aziz-Alaoui, M. A., et al.. (2017). Canard phenomenon in a slow-fast modified Leslie–Gower model. Mathematical Biosciences. 295. 48–54. 36 indexed citations
13.
Verdière, Nathalie, et al.. (2016). Mathematical Modeling of Human Behaviors During Catastrophic Events: Stability and Bifurcations. International Journal of Bifurcation and Chaos. 26(10). 1630025–1630025. 10 indexed citations
14.
Provitolo, Damienne, et al.. (2015). Les comportements humains en situation de catastrophe : de l’observation à la modélisation conceptuelle et mathématique. SHILAP Revista de lepidopterología. 11 indexed citations
15.
Tridane, Abdessamad, Radouane Yafia, & M. A. Aziz-Alaoui. (2015). Targeting the quiescent cells in cancer chemotherapy treatment: Is it enough?. Applied Mathematical Modelling. 40(7-8). 4844–4858. 3 indexed citations
16.
Aziz-Alaoui, M. A., et al.. (2012). Synchronization and control of coupled reaction–diffusion systems of the FitzHugh–Nagumo type. Computers & Mathematics with Applications. 64(5). 934–943. 53 indexed citations
17.
Aziz-Alaoui, M. A., et al.. (2008). Dynamics of a predator-prey model with diffusion. 11 indexed citations
18.
Aziz-Alaoui, M. A., et al.. (2007). Persistence and global stability in a delayed Leslie–Gower type three species food chain. Journal of Mathematical Analysis and Applications. 340(1). 340–357. 49 indexed citations
19.
Aziz-Alaoui, M. A. & Guanrong Chen. (2002). ASYMPTOTIC ANALYSIS OF A NEW PIECEWISE-LINEAR CHAOTIC SYSTEM. International Journal of Bifurcation and Chaos. 12(1). 147–157. 29 indexed citations
20.
Aziz-Alaoui, M. A., et al.. (2001). Dynamics of a Hénon–Lozi-type map. Chaos Solitons & Fractals. 12(12). 2323–2341. 33 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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