Saïd Mammar

4.1k total citations
152 papers, 2.5k citations indexed

About

Saïd Mammar is a scholar working on Control and Systems Engineering, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Saïd Mammar has authored 152 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Control and Systems Engineering, 95 papers in Automotive Engineering and 28 papers in Mechanical Engineering. Recurrent topics in Saïd Mammar's work include Vehicle Dynamics and Control Systems (76 papers), Autonomous Vehicle Technology and Safety (38 papers) and Real-time simulation and control systems (34 papers). Saïd Mammar is often cited by papers focused on Vehicle Dynamics and Control Systems (76 papers), Autonomous Vehicle Technology and Safety (38 papers) and Real-time simulation and control systems (34 papers). Saïd Mammar collaborates with scholars based in France, China and Greece. Saïd Mammar's co-authors include Sébastien Glaser, Mariana Netto, Dalil Ichalal, Dominique Gruyer, Benoit Vanholme, Lydie Nouvelière, Benoît Lusetti, Damien Koenig, Feng Chu and Benoît Marx and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Saïd Mammar

136 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saïd Mammar France 24 1.6k 1.4k 440 268 238 152 2.5k
Jonas Fredriksson Sweden 25 960 0.6× 1.3k 0.9× 299 0.7× 251 0.9× 136 0.6× 112 2.2k
José Eugenio Naranjo Spain 24 980 0.6× 1.4k 1.0× 505 1.1× 168 0.6× 287 1.2× 89 2.2k
Carlos González Spain 19 1.0k 0.7× 1.2k 0.8× 385 0.9× 165 0.6× 209 0.9× 46 1.8k
Jorge Villagrá Spain 24 1.1k 0.7× 1.1k 0.8× 493 1.1× 163 0.6× 202 0.8× 83 2.0k
Han-Shue Tan United States 24 1.3k 0.8× 1.4k 1.0× 215 0.5× 209 0.8× 187 0.8× 87 1.9k
Bakhtiar Litkouhi United States 25 1.2k 0.8× 1.8k 1.2× 557 1.3× 435 1.6× 115 0.5× 66 2.4k
Zhongxu Hu Singapore 26 1.0k 0.7× 1.1k 0.8× 523 1.2× 208 0.8× 193 0.8× 58 2.4k
Xiaoxiang Na United Kingdom 25 979 0.6× 1.3k 0.9× 350 0.8× 238 0.9× 204 0.9× 68 2.6k
Hongyan Guo China 27 1.3k 0.9× 1.8k 1.3× 409 0.9× 446 1.7× 158 0.7× 125 2.7k
Keith Redmill United States 22 807 0.5× 1.0k 0.7× 565 1.3× 90 0.3× 214 0.9× 89 1.8k

Countries citing papers authored by Saïd Mammar

Since Specialization
Citations

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

Fields of papers citing papers by Saïd Mammar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saïd Mammar

This figure shows the co-authorship network connecting the top 25 collaborators of Saïd Mammar. A scholar is included among the top collaborators of Saïd Mammar 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 Saïd Mammar. Saïd Mammar 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.
Zhang, Yu, Zeqiang Zhang, Feng Chu, & Saïd Mammar. (2025). A hybrid constraint programming and cross-entropy approach for balancing U-Shaped disassembly line with flexible workstations and spatial constraints. Journal of Industrial Information Integration. 45. 100817–100817. 4 indexed citations
2.
Mammar, Saïd, et al.. (2024). Dynamic Proportional Integral Interval Observer-Based Fault Tolerant Control for Switched Systems: Application to Vehicle Lateral Dynamics. SPIRE - Sciences Po Institutional REpository. 1041–1046.
3.
Ichalal, Dalil, et al.. (2023). A New High Gain Observer Based on Artificial Delays. SPIRE - Sciences Po Institutional REpository. 1–6.
4.
Ichalal, Dalil, et al.. (2021). Automatic Tuning of MPC for Autonomous Vehicle using Bayesian Optimization. HAL (Le Centre pour la Communication Scientifique Directe). 1–6. 3 indexed citations
5.
Ichalal, Dalil, et al.. (2021). Quadcopter Trajectory Tracking in the Presence of 4 Faulty Actuators: A Nonlinear MHE and MPC Approach. IEEE Control Systems Letters. 6. 2024–2029. 12 indexed citations
6.
Puig, Vicenç, et al.. (2020). Set-membership Switched Observers based on Interval Characterization of the Estimation Error. IFAC-PapersOnLine. 53(2). 14261–14266. 1 indexed citations
7.
Ichalal, Dalil, et al.. (2016). Unknown-input observer design for motorcycle lateral dynamics: TS approach. Control Engineering Practice. 54. 12–26. 16 indexed citations
8.
Vigneron, Vincent, Dominique Gruyer, & Saïd Mammar. (2014). Numerical Intelligence for Mobility and Communication: Tendencies in Automatics and Control. Journal of Intelligent Systems. 23(2). 109–111. 1 indexed citations
9.
Ichalal, Dalil, et al.. (2014). Takagi-Sugeno Observers: Experimental Application for Vehicle Lateral Dynamics Estimation. IEEE Transactions on Control Systems Technology. 23(2). 754–761. 14 indexed citations
10.
Ichalal, Dalil, et al.. (2014). New Nonlinear Takagi–Sugeno Vehicle Model for State and Road Curvature Estimation via a Nonlinear PMI Observer. Journal of Intelligent Systems. 23(2). 155–170. 1 indexed citations
11.
Nehaoua, Lamri, Dalil Ichalal, Hichem Arioui, et al.. (2014). An Unknown-Input HOSM Approach to Estimate Lean and Steering Motorcycle Dynamics. IEEE Transactions on Vehicular Technology. 63(7). 3116–3127. 17 indexed citations
12.
Nouvelière, Lydie, et al.. (2013). A Vehicle Simulator for an Efficient Electronic and Electrical Architecture Design. IEEE Transactions on Intelligent Transportation Systems. 14(4). 1967–1982. 8 indexed citations
13.
Nouvelière, Lydie, et al.. (2010). Dynamic Programming for fuel consumption optimization on light vehicle. IFAC Proceedings Volumes. 43(7). 372–377. 36 indexed citations
14.
Mammar, Saïd, et al.. (2009). Driver's influence on the performance of an integrated lane departure avoidance and lane keeping assistance system. HAL (Le Centre pour la Communication Scientifique Directe). 119–124. 10 indexed citations
15.
Mammar, Saïd, et al.. (2008). Automated measurement of intestinal mucosa electrical parametersusing a new digital clamp. Methods and Findings in Experimental and Clinical Pharmacology. 30(8). 591–591. 9 indexed citations
16.
Netto, Mariana, et al.. (2007). A switched optimized approach for road-departure avoidance: implementation results. HAL (Le Centre pour la Communication Scientifique Directe). 37. 787–792. 2 indexed citations
17.
Netto, Mariana, et al.. (2004). Lateral adaptive control for vehicle lane keeping. 2693–2698 vol.3. 71 indexed citations
18.
Koenig, Damien, Benoît Marx, & Saïd Mammar. (2002). 1 Hoo Fault Detection and Isolation for Descriptor Systems: A Matrix Inequalities Approach. American Control Conference. 6 indexed citations
19.
Mammar, Saïd. (2000). Two-degree-of-freedom H (sub infinity) optimization and scheduling for robust vehicle lateral control. Vehicle System Dynamics. 34(6). 1 indexed citations
20.
Blosseville, J M, et al.. (1997). LES RECHERCHES SUR L'ASSISTANCE ET L'AUTOMATISATION DE LA CONDUITE. 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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