Farouk Chérif

689 citations
40 papers · 541 · h-index 16

Impact in

Papers in

Farouk Chérif

37 papers receiving 527 citations

Peers

Farouk Chérif
Comparison fields: 5 of 35
  • Computer Networks and Communications 402
  • Statistical and Nonlinear Physics 187
  • Applied Mathematics 117
  • Modeling and Simulation 42
  • Artificial Intelligence 202
Replace S. Mohamad with:
S. Mohamad Australia
Duccio Papini Italy
Valéry Covachev Bulgaria
V. Vembarasan India
G. Narayanan India
Sannay Mohamad Brunei
Shujun Long China
Xin Long China
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Citations per field
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Citations per year

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-authors

The 10 scholars most cited alongside Farouk Chérif, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Farouk Chérif Line = papers co-authored together Farouk Chérif links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201171
2 201142
3 201942
4 201841
5 201525
6 201525
7 201721
8 202021
9 201621
10 201721
11 201420
12 201318
13 201817
14 201317
15 201916
16 202015
17
A Various Types of Almost Periodic Functions on Banach Spaces: Part II
201114
18 201310
19 202010
20 20219

About Farouk Chérif

Farouk Chérif is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence, Applied Mathematics and Control and Systems Engineering, having authored 40 papers that have together received 541 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (25 papers), stochastic dynamics and bifurcation (17 papers), Neural Networks and Applications (13 papers), Nonlinear Differential Equations Analysis (11 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Stability and Controllability of Differential Equations (6 papers) and Differential Equations and Numerical Methods (5 papers). The work is most often cited by research in Computer Networks and Communications (402 citations), Statistical and Nonlinear Physics (187 citations), Applied Mathematics (117 citations), Modeling and Simulation (42 citations) and Artificial Intelligence (202 citations). Farouk Chérif has collaborated with scholars based in Tunisia, Algeria and Saudi Arabia. Frequent co-authors include Adel M. Alimi, Chaouki Aouiti, Boudour Ammar, Mohammed M’Hamdi, Adnène Arbi, El Abed Assali, Jehad Alzabut, Cemil Tunç, Ghadah Aldehim and Amel Ksibi. Their work appears in journals such as Neural Processing Letters, Neurocomputing, Chaos Solitons & Fractals, International Journal of Biomathematics and Scientific Reports.

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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