Kamel Abderrahim

617 total citations
81 papers, 405 citations indexed

About

Kamel Abderrahim is a scholar working on Control and Systems Engineering, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Kamel Abderrahim has authored 81 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Control and Systems Engineering, 11 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Kamel Abderrahim's work include Control Systems and Identification (52 papers), Fault Detection and Control Systems (47 papers) and Advanced Control Systems Optimization (24 papers). Kamel Abderrahim is often cited by papers focused on Control Systems and Identification (52 papers), Fault Detection and Control Systems (47 papers) and Advanced Control Systems Optimization (24 papers). Kamel Abderrahim collaborates with scholars based in Tunisia, France and Saudi Arabia. Kamel Abderrahim's co-authors include Ridha Ben Abdennour, Feng Ding, Michel Zasadziński, Dimitri Lefebvre, Fabrice Druaux, Harouna Souley Ali, Pierre Borne, Faouzi M’Sahli, Ali Zemouche and Salah Zidi and has published in prestigious journals such as IEEE Access, International Journal of Control and Engineering Applications of Artificial Intelligence.

In The Last Decade

Kamel Abderrahim

72 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamel Abderrahim Tunisia 11 369 66 53 37 31 81 405
Yongsong Xiao China 12 402 1.1× 88 1.3× 88 1.7× 124 3.4× 24 0.8× 13 445
Zygmunt Hasiewicz Poland 10 337 0.9× 81 1.2× 49 0.9× 90 2.4× 20 0.6× 41 381
Kenneth Hsu United States 11 250 0.7× 52 0.8× 26 0.5× 60 1.6× 20 0.6× 28 318
Anna Hagenblad Sweden 6 360 1.0× 97 1.5× 86 1.6× 90 2.4× 22 0.7× 10 421
Yamin Fan China 9 443 1.2× 134 2.0× 84 1.6× 144 3.9× 22 0.7× 14 476
W. Spinelli Italy 7 300 0.8× 48 0.7× 26 0.5× 62 1.7× 9 0.3× 12 359
S. Beghelli Italy 10 393 1.1× 70 1.1× 35 0.7× 79 2.1× 35 1.1× 38 454
L. Sivakumar India 9 173 0.5× 29 0.4× 41 0.8× 20 0.5× 22 0.7× 33 274
Ricardo J.G.B. Campello Brazil 12 259 0.7× 89 1.3× 58 1.1× 94 2.5× 23 0.7× 21 329
Setsuo Sagara Japan 12 472 1.3× 106 1.6× 69 1.3× 119 3.2× 30 1.0× 70 552

Countries citing papers authored by Kamel Abderrahim

Since Specialization
Citations

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

Fields of papers citing papers by Kamel Abderrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamel Abderrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Kamel Abderrahim. A scholar is included among the top collaborators of Kamel Abderrahim 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 Kamel Abderrahim. Kamel Abderrahim 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.
Abderrahim, Kamel, et al.. (2024). Iterative parameter identification for Hammerstein systems with ARMA noises by using the filtering identification idea. International Journal of Adaptive Control and Signal Processing. 38(9). 3134–3160. 23 indexed citations
2.
Duan, Lingjie, Jun Luo, C. M. Wong, et al.. (2023). August 2023 Conference Calendar [Conference Calendar]. IEEE Control Systems. 43(4). C3–C3.
3.
Abderrahim, Kamel, et al.. (2022). Convergence Analysis of Forgetting Factor Least Squares Algorithm for ARMAX Time-Delay Models. Circuits Systems and Signal Processing. 42(1). 405–430. 3 indexed citations
4.
Abderrahim, Kamel, et al.. (2022). Fault-tolerant control and sinusoidal disturbance attenuation for a class of hybrid dynamic systems. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 237(5). 763–778.
5.
Abderrahim, Kamel, et al.. (2021). Model Predictive Control for Uncertain PWA Systems Based on Robust Observer. Iranian Journal of Science and Technology Transactions of Electrical Engineering. 46(1). 109–125. 1 indexed citations
6.
Abderrahim, Kamel, et al.. (2020). States and Parameters Estimation for Fractional-order Hammerstein system. 1. 452–457. 1 indexed citations
7.
Abderrahim, Kamel, et al.. (2019). Polynomial Nonlinear Fractional State Space System Identification. 286–291. 3 indexed citations
8.
Abderrahim, Kamel, et al.. (2019). Joint Parameter and Time-Delay Identification Algorithm and Its Convergence Analysis for Wiener Time-Delay Systems. Circuits Systems and Signal Processing. 39(1). 199–222. 8 indexed citations
9.
Abderrahim, Kamel, et al.. (2019). Identification and control of nonlinear systems using PieceWise Auto-Regressive eXogenous models. Transactions of the Institute of Measurement and Control. 41(14). 4050–4062. 4 indexed citations
10.
Zidi, Salah, et al.. (2018). Self-adaptative multi-kernel algorithm for switched linear systems identification. International Journal of Modelling Identification and Control. 31(1). 103–103. 5 indexed citations
11.
Abderrahim, Kamel, et al.. (2017). On convergence analysis of an identification algorithm for Hammerstein-Wiener systems with unknown time-delay. IFAC-PapersOnLine. 50(1). 14052–14057. 5 indexed citations
12.
Zasadziński, Michel, et al.. (2017). Design of an H∞ adaptive observer for bilinear delayed systems. IFAC-PapersOnLine. 50(1). 2923–2928.
13.
Ali, Harouna Souley, et al.. (2016). Design of a functional adaptive observer for bilinear delayed systems. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
14.
Abderrahim, Kamel, et al.. (2016). Sensor fault estimation and compensation for hybrid switched system. 449–454. 8 indexed citations
15.
Abderrahim, Kamel, et al.. (2015). Identification of Wiener Time Delay Systems Based on Hierarchical Gradient Approach. IFAC-PapersOnLine. 48(1). 403–408. 16 indexed citations
16.
Abderrahim, Kamel, et al.. (2014). New Results on PWARX Model Identification Based on Clustering Approach. International Journal of Automation and Computing. 11(2). 180–188. 8 indexed citations
17.
Abderrahim, Kamel, et al.. (2013). New Approaches to Identification of PWARX Systems. Mathematical Problems in Engineering. 2013. 1–9. 3 indexed citations
18.
Abderrahim, Kamel, et al.. (2013). Time delay system identification based on optimization approaches. SPIRE - Sciences Po Institutional REpository. 473–478. 6 indexed citations
19.
Abderrahim, Kamel, et al.. (2013). An experimental validation of a novel clustering approach to PWARX identification. Engineering Applications of Artificial Intelligence. 28. 201–209. 11 indexed citations
20.
Abderrahim, Kamel, Ridha Ben Abdennour, Faouzi M’Sahli, Mekki Ksouri, & Gérard Favier. (1999). A new general relationship for a higher-order statistics based identification. 1660–1665. 2 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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