Abderrahmane Abbes

491 total citations · 1 hit paper
20 papers, 378 citations indexed

About

Abderrahmane Abbes is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Computer Networks and Communications. According to data from OpenAlex, Abderrahmane Abbes has authored 20 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistical and Nonlinear Physics, 8 papers in Modeling and Simulation and 7 papers in Computer Networks and Communications. Recurrent topics in Abderrahmane Abbes's work include Chaos control and synchronization (13 papers), Fractional Differential Equations Solutions (8 papers) and Neural Networks Stability and Synchronization (7 papers). Abderrahmane Abbes is often cited by papers focused on Chaos control and synchronization (13 papers), Fractional Differential Equations Solutions (8 papers) and Neural Networks Stability and Synchronization (7 papers). Abderrahmane Abbes collaborates with scholars based in Algeria, Jordan and Italy. Abderrahmane Abbes's co-authors include Adel Ouannas, Hadi Jahanshahi, Nabil Shawagfeh, Zai-Yin He, Naif D. Alotaibi, Giuseppe Grassi, Iqbal M. Batiha, Amina–Aicha Khennaoui, Rania Saadeh and Shaher Momani and has published in prestigious journals such as Nonlinear Dynamics, Alexandria Engineering Journal and Physica Scripta.

In The Last Decade

Abderrahmane Abbes

20 papers receiving 362 citations

Hit Papers

Fractional-Order Discrete-Time SIR Epidemic Model with Va... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abderrahmane Abbes Algeria 9 193 164 94 85 39 20 378
Mohammed-Salah Abdelouahab Algeria 10 241 1.2× 176 1.1× 106 1.1× 180 2.1× 92 2.4× 28 488
D. Vignesh India 12 134 0.7× 175 1.1× 43 0.5× 81 1.0× 60 1.5× 35 368
Khaled Moaddy Saudi Arabia 11 246 1.3× 345 2.1× 29 0.3× 94 1.1× 61 1.6× 21 577
Israr Ahmad Oman 15 368 1.9× 160 1.0× 27 0.3× 313 3.7× 31 0.8× 61 620
Ayman A. Arafa Egypt 12 255 1.3× 76 0.5× 92 1.0× 210 2.5× 10 0.3× 25 420
Saurabh Agrawal India 9 335 1.7× 102 0.6× 53 0.6× 240 2.8× 64 1.6× 16 479
Dejun Fan China 11 140 0.7× 168 1.0× 246 2.6× 186 2.2× 8 0.2× 30 448
Manashita Borah India 14 210 1.1× 99 0.6× 33 0.4× 121 1.4× 63 1.6× 26 382
A. Othman Almatroud Saudi Arabia 12 114 0.6× 105 0.6× 19 0.2× 46 0.5× 15 0.4× 25 502

Countries citing papers authored by Abderrahmane Abbes

Since Specialization
Citations

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

Fields of papers citing papers by Abderrahmane Abbes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abderrahmane Abbes

This figure shows the co-authorship network connecting the top 25 collaborators of Abderrahmane Abbes. A scholar is included among the top collaborators of Abderrahmane Abbes 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 Abderrahmane Abbes. Abderrahmane Abbes 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.
Almatroud, A. Othman, Giuseppe Grassi, Amina–Aicha Khennaoui, et al.. (2024). A novel fractional memristor-based Grassi-Miller map: Hyperchaotic behavior and coexistence of attractors. Alexandria Engineering Journal. 93. 1–6. 8 indexed citations
2.
Abbes, Abderrahmane, et al.. (2024). Hidden Chaos in a new memristor-based discrete system with commensurate, incommensurate and variable fractional orders. Physica Scripta. 99(10). 105233–105233. 5 indexed citations
3.
Ouannas, Adel, et al.. (2024). On fractional discrete financial system: Bifurcation, chaos, and control. Chinese Physics B. 33(10). 100201–100201. 4 indexed citations
4.
Abbes, Abderrahmane, et al.. (2023). Bifurcation, Hidden Chaos, Entropy and Control in Hénon-Based Fractional Memristor Map with Commensurate and Incommensurate Orders. Mathematics. 11(19). 4166–4166. 4 indexed citations
5.
Oussaeif, Taki-Eddine, et al.. (2023). On Finite-Time Blow-Up Problem for Nonlinear Fractional Reaction Diffusion Equation: Analytical Results and Numerical Simulations. Fractal and Fractional. 7(8). 589–589. 3 indexed citations
6.
Saadeh, Rania, et al.. (2023). The Fractional Discrete Predator–Prey Model: Chaos, Control and Synchronization. Fractal and Fractional. 7(2). 120–120. 28 indexed citations
7.
Abbes, Abderrahmane, et al.. (2023). The New Four-Dimensional Fractional Chaotic Map with Constant and Variable-Order: Chaos, Control and Synchronization. Mathematics. 11(20). 4332–4332. 5 indexed citations
8.
Abbes, Abderrahmane, et al.. (2023). Hidden multistability of fractional discrete non-equilibrium point memristor based map. Physica Scripta. 98(3). 35213–35213. 28 indexed citations
9.
Abbes, Abderrahmane, et al.. (2023). On Chaos and Complexity Analysis for a New Sine-Based Memristor Map with Commensurate and Incommensurate Fractional Orders. Mathematics. 11(20). 4308–4308. 8 indexed citations
10.
Abbes, Abderrahmane, et al.. (2023). On chaos in the fractional-order discrete-time macroeconomic systems. AIP conference proceedings. 2 indexed citations
11.
Abbes, Abderrahmane, et al.. (2023). Complexity and Chaos Analysis for Two-Dimensional Discrete-Time Predator–Prey Leslie–Gower Model with Fractional Orders. Axioms. 12(6). 561–561. 6 indexed citations
12.
Abbes, Abderrahmane, et al.. (2023). The new fractional discrete neural network model under electromagnetic radiation: Chaos, control and synchronization. Alexandria Engineering Journal. 76. 391–409. 10 indexed citations
13.
Abbes, Abderrahmane, et al.. (2023). On Ikeda-Based Memristor Map with Commensurate and Incommensurate Fractional Orders: Bifurcation, Chaos, and Entropy. Fractal and Fractional. 7(10). 728–728. 2 indexed citations
14.
He, Zai-Yin, et al.. (2022). Fractional-Order Discrete-Time SIR Epidemic Model with Vaccination: Chaos and Complexity. Mathematics. 10(2). 165–165. 139 indexed citations breakdown →
15.
Abbes, Abderrahmane, Adel Ouannas, Nabil Shawagfeh, & Giuseppe Grassi. (2022). The effect of the Caputo fractional difference operator on a new discrete COVID-19 model. Results in Physics. 39. 105797–105797. 19 indexed citations
16.
Abbes, Abderrahmane, Adel Ouannas, Nabil Shawagfeh, & Hadi Jahanshahi. (2022). The fractional-order discrete COVID-19 pandemic model: stability and chaos. Nonlinear Dynamics. 111(1). 965–983. 39 indexed citations
17.
Abbes, Abderrahmane, et al.. (2022). A new two-dimensional fractional discrete rational map: chaos and complexity. Physica Scripta. 98(1). 15208–15208. 12 indexed citations
18.
Abbes, Abderrahmane, Adel Ouannas, & Nabil Shawagfeh. (2022). An incommensurate fractional discrete macroeconomic system: Bifurcation, chaos, and complexity. Chinese Physics B. 32(3). 30203–30203. 18 indexed citations
19.
Abbes, Abderrahmane, Adel Ouannas, Nabil Shawagfeh, & Amina–Aicha Khennaoui. (2022). Incommensurate Fractional Discrete Neural Network: chaos and complexity. The European Physical Journal Plus. 137(2). 37 indexed citations
20.
Abbes, Abderrahmane, Adel Ouannas, & Nabil Shawagfeh. (2021). Synchronization in Fractional Discrete Neural Networks Using Linear Control Laws. 9. 1–5. 1 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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