Didier Maquin

3.7k total citations
111 papers, 1.6k citations indexed

About

Didier Maquin is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Didier Maquin has authored 111 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Control and Systems Engineering, 15 papers in Mechanical Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Didier Maquin's work include Fault Detection and Control Systems (78 papers), Control Systems and Identification (41 papers) and Advanced Control Systems Optimization (40 papers). Didier Maquin is often cited by papers focused on Fault Detection and Control Systems (78 papers), Control Systems and Identification (41 papers) and Advanced Control Systems Optimization (40 papers). Didier Maquin collaborates with scholars based in France, Canada and Tunisia. Didier Maquin's co-authors include José Ragot, Benoît Marx, Dalil Ichalal, Mohammed Chadli, Abdelkader Akhenak, Rodolfo Orjuela, Radu Ranta, Saïd Mammar, Gilles Mourot and Hugo Vélez‐Pérez and has published in prestigious journals such as Automatica, Industrial & Engineering Chemistry Research and AIChE Journal.

In The Last Decade

Didier Maquin

107 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Didier Maquin France 23 1.2k 248 156 146 125 111 1.6k
Jerzy Baranowski Poland 16 558 0.4× 112 0.5× 54 0.3× 152 1.0× 68 0.5× 107 828
Torbjörn Wigren Sweden 22 1.3k 1.0× 378 1.5× 363 2.3× 53 0.4× 28 0.2× 165 2.1k
Pierre-Yves Glorennec France 6 1.2k 0.9× 578 2.3× 51 0.3× 139 1.0× 14 0.1× 7 1.6k
Xianqiang Yang China 22 683 0.5× 207 0.8× 37 0.2× 116 0.8× 32 0.3× 64 1.1k
Roberto Guidorzi Italy 19 911 0.7× 219 0.9× 38 0.2× 69 0.5× 51 0.4× 118 1.5k
Murat Aşkar Türkiye 8 813 0.7× 242 1.0× 47 0.3× 449 3.1× 25 0.2× 31 1.3k
Yadong Xu China 27 1.3k 1.1× 285 1.1× 101 0.6× 744 5.1× 43 0.3× 67 2.0k
Arun K. Tangirala India 16 682 0.5× 120 0.5× 22 0.1× 150 1.0× 21 0.2× 89 1.1k
Wong Shaw Voon Malaysia 11 593 0.5× 235 0.9× 28 0.2× 80 0.5× 17 0.1× 36 973

Countries citing papers authored by Didier Maquin

Since Specialization
Citations

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

Fields of papers citing papers by Didier Maquin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Didier Maquin

This figure shows the co-authorship network connecting the top 25 collaborators of Didier Maquin. A scholar is included among the top collaborators of Didier Maquin 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 Didier Maquin. Didier Maquin 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.
Ragot, José, et al.. (2022). Parameter identifiability for nonlinear LPV models. International Journal of Applied Mathematics and Computer Science. 32(2).
2.
Yaacoubi, Slah, et al.. (2018). Sparse estimation based monitoring method for damage detection and localization: A case of study. Mechanical Systems and Signal Processing. 112. 61–76. 14 indexed citations
3.
Mourot, Gilles, et al.. (2017). Fault detection and estimation using kernel principal component analysis. IFAC-PapersOnLine. 50(1). 1025–1030. 14 indexed citations
4.
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
5.
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
6.
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
7.
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
8.
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
9.
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
10.
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
11.
Sauter, Dominique, et al.. (2013). Co-design of safe networked control systems. Annual Reviews in Control. 37(2). 321–332. 11 indexed citations
12.
Vélez‐Pérez, Hugo, et al.. (2011). Blind source separation, wavelet denoising and discriminant analysis for EEG artefacts and noise cancelling. Biomedical Signal Processing and Control. 7(4). 389–400. 131 indexed citations
13.
Maquin, Didier, et al.. (2010). Design of an adaptive faults tolerant control: case of sensor faults. WSEAS TRANSACTIONS on SYSTEMS archive. 9(7). 794–803. 4 indexed citations
14.
Ranta, Radu, et al.. (2007). EEG Ocular Artefacts and Noise Removal. Conference proceedings. 2007. 5445–5448. 25 indexed citations
15.
Ragot, José, et al.. (2005). Linear mass balance equilibration: A new approach for an old problem. ISA Transactions. 44(1). 23–34. 1 indexed citations
16.
Ragot, José & Didier Maquin. (2004). Reformulation of Data Reconciliation Problem with Unknown-but-Bounded Errors. Industrial & Engineering Chemistry Research. 43(6). 1530–1536. 11 indexed citations
17.
Ragot, José, Frédéric Kratz, & Didier Maquin. (2000). Finite Memory Observer for Input-Output Estimation. Application to Data Reconciliation and Diagnosis. IFAC Proceedings Volumes. 33(11). 575–580. 1 indexed citations
18.
Malti, Rachid, Didier Maquin, & José Ragot. (1998). Bilateral decomposition of a time function into laguerre series. Application to LTI system identification. Journal of the Franklin Institute. 335(5). 851–869. 3 indexed citations
19.
Maquin, Didier, et al.. (1995). Dependability and Analytical Redundancy. IFAC Proceedings Volumes. 28(12). 175–180. 3 indexed citations
20.
Maquin, Didier, Mohamed Darouach, & José Ragot. (1989). Observability and Data Validation of Bilinear Systems. IFAC Proceedings Volumes. 22(6). 113–118. 3 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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