Farouk Chérif

689 total citations
40 papers, 541 citations indexed

About

Farouk Chérif is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Farouk Chérif has authored 40 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 21 papers in Statistical and Nonlinear Physics and 13 papers in Artificial Intelligence. Recurrent topics in Farouk Chérif's work include Neural Networks Stability and Synchronization (25 papers), stochastic dynamics and bifurcation (17 papers) and Neural Networks and Applications (13 papers). Farouk Chérif is often cited by papers focused on Neural Networks Stability and Synchronization (25 papers), stochastic dynamics and bifurcation (17 papers) and Neural Networks and Applications (13 papers). Farouk Chérif collaborates with scholars based in Tunisia, Algeria and Saudi Arabia. Farouk Chérif's co-authors include Adel M. Alimi, Chaouki Aouiti, Boudour Ammar, Mohammed M’Hamdi, Adnène Arbi, El Abed Assali, Jehad Alzabut, Cemil Tunç, Amel Ksibi and Ghadah Aldehim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Farouk Chérif

37 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farouk Chérif Tunisia 16 402 202 187 117 107 40 541
S. Mohamad Australia 7 531 1.3× 282 1.4× 301 1.6× 51 0.4× 82 0.8× 13 632
Duccio Papini Italy 14 454 1.1× 195 1.0× 343 1.8× 149 1.3× 107 1.0× 38 759
Feifei Du China 17 398 1.0× 172 0.9× 238 1.3× 181 1.5× 167 1.6× 35 739
Sannay Mohamad Brunei 12 527 1.3× 289 1.4× 303 1.6× 33 0.3× 56 0.5× 24 581
V. Vembarasan India 15 551 1.4× 196 1.0× 263 1.4× 68 0.6× 215 2.0× 20 710
G. Narayanan India 14 555 1.4× 241 1.2× 268 1.4× 39 0.3× 172 1.6× 30 757
Bao Tong Cui China 13 359 0.9× 207 1.0× 151 0.8× 97 0.8× 104 1.0× 35 484
Shujun Long China 11 280 0.7× 79 0.4× 146 0.8× 73 0.6× 116 1.1× 18 383
Valéry Covachev Bulgaria 7 198 0.5× 99 0.5× 140 0.7× 129 1.1× 67 0.6× 36 354
Haydar Akça United Arab Emirates 12 343 0.9× 149 0.7× 216 1.2× 383 3.3× 273 2.6× 35 796

Countries citing papers authored by Farouk Chérif

Since Specialization
Citations

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

Fields of papers citing papers by Farouk Chérif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farouk Chérif

This figure shows the co-authorship network connecting the top 25 collaborators of Farouk Chérif. A scholar is included among the top collaborators of Farouk Chérif 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 Farouk Chérif. Farouk Chérif 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.
Chérif, Farouk, et al.. (2025). Piecewise pseudo almost automorphic solution for impulsive Lasota-Wazewska model with mixed delays. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao. 40(1). 102–121.
2.
3.
Ammar, Boudour, et al.. (2023). Finite-time complete periodic synchronization of memristive neural networks with mixed delays. Scientific Reports. 13(1). 12545–12545. 2 indexed citations
4.
Chérif, Farouk, et al.. (2021). On the Weighted Piecewise Pseudo Almost Automorphic Solutions Mackey–Glass Model with Mixed Delays and Harvesting Term. Iranian Journal of Science and Technology Transactions A Science. 45(2). 619–634. 4 indexed citations
5.
Chérif, Farouk, et al.. (2021). The synchronization and stability analysis of delayed fuzzy Cohen-Grossberg neural networks via nonlinear measure method. Journal of Experimental & Theoretical Artificial Intelligence. 34(2). 215–234. 4 indexed citations
6.
Chérif, Farouk, et al.. (2021). Pseudo almost automorphic solutions to non autonomous third order differential equation with multiple deviating arguments. Gulf Journal of Mathematics. 11(2). 1–18. 1 indexed citations
7.
Chérif, Farouk, et al.. (2020). Exponential Lag Synchronization and Global Dissipativity for Delayed Fuzzy Cohen–Grossberg Neural Networks with Discontinuous Activations. Neural Processing Letters. 51(2). 1653–1676. 10 indexed citations
8.
Chérif, Farouk, et al.. (2020). Piecewise asymptotic almost periodic solutions for impulsive fuzzy Cohen–Grossberg neural networks. Chaos Solitons & Fractals. 132. 109575–109575. 21 indexed citations
9.
Chérif, Farouk, et al.. (2018). The pseudo almost periodic solutions of the new class of Lotka–Volterra recurrent neural networks with mixed delays. Chaos Solitons & Fractals. 113. 79–88. 17 indexed citations
10.
Alimi, Adel M., et al.. (2018). Dynamics and oscillations of generalized high-order Hopfield neural networks with mixed delays. Neurocomputing. 321. 274–295. 41 indexed citations
11.
Aouiti, Chaouki, Mohammed M’Hamdi, Farouk Chérif, & Adel M. Alimi. (2017). Impulsive generalized high-order recurrent neural networks with mixed delays: Stability and periodicity. Neurocomputing. 321. 296–307. 21 indexed citations
12.
Ammar, Boudour, et al.. (2016). Pseudo almost periodic solutions of impulsive recurrent neural networks with mixed delays. 8131. 464–470. 5 indexed citations
13.
Chérif, Farouk. (2015). Pseudo almost periodic solution of Nicholson’s blowflies model with mixed delays. Applied Mathematical Modelling. 39(17). 5152–5163. 25 indexed citations
14.
Ammar, Boudour, et al.. (2014). On the dynamics of the high-order type of neural networks with time varying coefficients and mixed delay. 191. 2063–2070. 8 indexed citations
15.
Chérif, Farouk. (2014). Pseudo Almost Periodic Solutions for a Class of Fourth-Order Nonlinear Differential Equations with a Deviating Argument. Differential Equations and Dynamical Systems. 24(1). 81–97. 1 indexed citations
16.
Chérif, Farouk. (2013). ANALYSIS OF GLOBAL ASYMPTOTIC STABILITY AND PSEUDO ALMOST PERIODIC SOLUTION OF A CLASS OF CHAOTIC NEURAL NETWORKS. Mathematical Modelling and Analysis. 18(4). 489–504. 10 indexed citations
17.
Chérif, Farouk. (2013). Pseudo Almost Periodic Solutions of Impulsive Differential Equations with Delay. Differential Equations and Dynamical Systems. 22(1). 73–91. 17 indexed citations
18.
Chérif, Farouk. (2012). Quadratic-mean pseudo almost periodic solutions to some stochastic differential equations in a Hilbert space. Journal of Applied Mathematics and Computing. 40(1-2). 427–443. 7 indexed citations
19.
Chérif, Farouk. (2012). On the Spectra of Almost Periodic Symmetric Positive Definite Matrices Functions.
20.
Chérif, Farouk. (2011). Existence and global exponential stability of pseudo almost periodic solution for SICNNs with mixed delays. Journal of Applied Mathematics and Computing. 39(1-2). 235–251. 42 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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