Benoît Marx

2.4k total citations
61 papers, 1.3k citations indexed

About

Benoît Marx is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Benoît Marx has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Control and Systems Engineering, 3 papers in Computer Networks and Communications and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Benoît Marx's work include Stability and Control of Uncertain Systems (42 papers), Fault Detection and Control Systems (40 papers) and Control Systems and Identification (25 papers). Benoît Marx is often cited by papers focused on Stability and Control of Uncertain Systems (42 papers), Fault Detection and Control Systems (40 papers) and Control Systems and Identification (25 papers). Benoît Marx collaborates with scholars based in France, Luxembourg and United States. Benoît Marx's co-authors include José Ragot, Didier Maquin, Dalil Ichalal, D. Koenig, Georges Schutz, Gilles Mourot, Damien Koenig, Rodolfo Orjuela, Saïd Mammar and Didier Georges and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Industrial & Engineering Chemistry Research.

In The Last Decade

Benoît Marx

59 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Marx France 22 1.3k 181 177 67 61 61 1.3k
Ting Yang China 13 493 0.4× 199 1.1× 87 0.5× 40 0.6× 67 1.1× 65 661
Sabrina Aouaouda Algeria 9 601 0.5× 94 0.5× 87 0.5× 111 1.7× 78 1.3× 18 681
Krzysztof Patan Poland 14 647 0.5× 75 0.4× 198 1.1× 18 0.3× 183 3.0× 63 787
Xiaozhan Yang China 8 518 0.4× 221 1.2× 130 0.7× 88 1.3× 50 0.8× 16 700
Shumin Fei China 16 538 0.4× 72 0.4× 39 0.2× 38 0.6× 128 2.1× 42 632
Ángel Cuenca Spain 15 514 0.4× 317 1.8× 34 0.2× 41 0.6× 43 0.7× 51 641
Ismail Boumhidi Morocco 12 461 0.4× 68 0.4× 76 0.4× 71 1.1× 52 0.9× 166 680
Herman Castañeda Mexico 14 515 0.4× 109 0.6× 35 0.2× 32 0.5× 49 0.8× 50 661

Countries citing papers authored by Benoît Marx

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Marx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Marx

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Marx. A scholar is included among the top collaborators of Benoît Marx 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 Benoît Marx. Benoît Marx 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.
Marx, Benoît, et al.. (2024). Common Quadratic Lyapunov Functions for Sets of Second-Order Linear Systems: A Simple Graphical Criterion. IEEE Control Systems Letters. 8. 1889–1894.
2.
Marx, Benoît, et al.. (2024). Bézier Controllers and Observers for Takagi-Sugeno Models. SPIRE - Sciences Po Institutional REpository. 4753–4758. 1 indexed citations
3.
Ichalal, Dalil, Benoît Marx, Saïd Mammar, Didier Maquin, & José Ragot. (2017). How to cope with unmeasurable premise variables in Takagi–Sugeno observer design: Dynamic extension approach. Engineering Applications of Artificial Intelligence. 67. 430–435. 38 indexed citations
4.
Ichalal, Dalil, Benoît Marx, Didier Maquin, & José Ragot. (2016). Actuator Fault diagnosis: H∞ framework with relative degree notion. IFAC-PapersOnLine. 49(5). 321–326. 3 indexed citations
5.
Marx, Benoît, Dalil Ichalal, Didier Maquin, & José Ragot. (2016). Operating mode recognition. Application to a grinding mill process.. IFAC-PapersOnLine. 49(20). 7–12. 1 indexed citations
6.
Marx, Benoît. (2015). A descriptor Takagi–Sugeno approach to nonlinear model reduction. Linear Algebra and its Applications. 479. 52–72. 1 indexed citations
7.
Ichalal, Dalil, Benoît Marx, José Ragot, Saïd Mammar, & Didier Maquin. (2015). Sensor fault tolerant control of nonlinear Takagi-Sugeno systems. Application to vehicle lateral dynamics. International Journal of Robust and Nonlinear Control. 26(7). 1376–1394. 37 indexed citations
8.
Marx, Benoît, et al.. (2015). State constrained tracking control for nonlinear systems. Journal of the Franklin Institute. 352(7). 2866–2886. 5 indexed citations
9.
Orjuela, Rodolfo, Benoît Marx, José Ragot, & Didier Maquin. (2013). Nonlinear system identification using heterogeneous multiple models. International Journal of Applied Mathematics and Computer Science. 23(1). 103–115. 38 indexed citations
10.
Marx, Benoît, et al.. (2013). State and Parameter Estimation for Time-varying Systems: a Takagi-Sugeno Approach. IFAC Proceedings Volumes. 46(2). 761–766. 11 indexed citations
11.
Marx, Benoît, et al.. (2013). Nonlinear joint state and parameter estimation: Application to a wastewater treatment plant. Control Engineering Practice. 21(10). 1377–1385. 24 indexed citations
12.
Bouarar, Tahar, Benoît Marx, Didier Maquin, & José Ragot. (2013). Fault‐tolerant control design for uncertain Takagi–Sugeno systems by trajectory tracking: a descriptor approach. IET Control Theory and Applications. 7(14). 1793–1805. 11 indexed citations
13.
Ichalal, Dalil, Benoît Marx, José Ragot, & Didier Maquin. (2012). New fault tolerant control strategies for nonlinear Takagi-Sugeno systems. International Journal of Applied Mathematics and Computer Science. 22(1). 197–210. 48 indexed citations
14.
15.
Mourot, Gilles, et al.. (2010). Systematic Multimodeling Methodology Applied to an Activated Sludge Reactor Model. Industrial & Engineering Chemistry Research. 49(6). 2790–2799. 48 indexed citations
16.
Ichalal, Dalil, Benoît Marx, José Ragot, & Didier Maquin. (2009). State and unknown input estimation for nonlinear systems described by Takagi-Sugeno models with unmeasurable premise variables. HAL (Le Centre pour la Communication Scientifique Directe). 217–222. 34 indexed citations
17.
Orjuela, Rodolfo, Benoît Marx, José Ragot, & Didier Maquin. (2008). Estimating the state and the unknown inputs of nonlinear systems using a multiple model approach. HAL (Le Centre pour la Communication Scientifique Directe). 45. 1375–1380. 5 indexed citations
18.
Koenig, Damien & Benoît Marx. (2007). Observer Design with H Performance for Delay Descriptor Systems. Proceedings of the ... American Control Conference. ac 46. 5129–5134. 2 indexed citations
19.
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
20.
Koenig, D., Saïd Mammar, & Benoît Marx. (2002). H/spl infin/ fault detection and isolation for descriptor systems: a matrix inequalities approach. 1080–1081 vol.2. 9 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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