Abderrahmane Abbes
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions 8
- COVID-19 epidemiological studies 3
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- Chaos control and synchronization 13
- stochastic dynamics and bifurcation 5
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- Neural Networks Stability and Synchronization 7
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- Mathematical and Theoretical Epidemiology and Ecology Models 5
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- Neural Networks and Applications 3
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- Complex Systems and Time Series Analysis 3
- Co-authors
- Adel OuannasHadi JahanshahiNabil ShawagfehZai-Yin HeNaif D. AlotaibiGiuseppe GrassiIqbal M. BatihaAmina–Aicha Khennaoui
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsComputer Networks and Communications
In The Last Decade
Abderrahmane Abbes
20 papers receiving 362 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Modeling and Simulation 164
- Statistical and Nonlinear Physics 193
- Computer Networks and Communications 85
- Public Health, Environmental and Occupational Health 94
- Numerical Analysis 14
Countries citing papers authored by Abderrahmane Abbes
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
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
The 14 scholars most cited alongside Abderrahmane Abbes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 28 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 28 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 2 | |
| 14 | Fractional-Order Discrete-Time SIR Epidemic Model with Vaccination: Chaos and Complexitybreakdown → | 2022 | 139 |
| 15 | 2022 | 19 | |
| 16 | 2022 | 39 | |
| 17 | 2022 | 12 | |
| 18 | 2022 | 18 | |
| 19 | 2022 | 37 | |
| 20 | 2021 | 1 |
About Abderrahmane Abbes
Abderrahmane Abbes is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 20 papers that have together received 378 indexed citations. Recurring topics across this work include Chaos control and synchronization (13 papers), Fractional Differential Equations Solutions (8 papers), Neural Networks Stability and Synchronization (7 papers), stochastic dynamics and bifurcation (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), COVID-19 epidemiological studies (3 papers), Neural Networks and Applications (3 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Modeling and Simulation (164 citations), Statistical and Nonlinear Physics (193 citations) and Computer Networks and Communications (85 citations). Abderrahmane Abbes has collaborated with scholars based in Algeria, Jordan and Italy. Frequent 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. Their work appears in journals such as Nonlinear Dynamics, Alexandria Engineering Journal and Physica Scripta.
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.