Hugues Garnier

3.5k total citations
109 papers, 2.4k citations indexed

About

Hugues Garnier is a scholar working on Control and Systems Engineering, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, Hugues Garnier has authored 109 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Control and Systems Engineering, 26 papers in Civil and Structural Engineering and 13 papers in Artificial Intelligence. Recurrent topics in Hugues Garnier's work include Control Systems and Identification (79 papers), Fault Detection and Control Systems (60 papers) and Structural Health Monitoring Techniques (25 papers). Hugues Garnier is often cited by papers focused on Control Systems and Identification (79 papers), Fault Detection and Control Systems (60 papers) and Structural Health Monitoring Techniques (25 papers). Hugues Garnier collaborates with scholars based in France, Australia and United Kingdom. Hugues Garnier's co-authors include Marion Gilson, Peter C. Young, M. Mensler, Tom L. Richard, Fengwei Chen, Vincent Laurain, Alain Oustaloup, Stéphane Victor, Rachid Malti and Peter C. Young and has published in prestigious journals such as Automatica, Applied Energy and IEEE Transactions on Power Electronics.

In The Last Decade

Hugues Garnier

106 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hugues Garnier France 27 1.8k 464 296 241 214 109 2.4k
G.P. Rao India 23 1.5k 0.9× 326 0.7× 205 0.7× 190 0.8× 25 0.1× 77 2.1k
Ali Khaki Sedigh Iran 23 1.6k 0.9× 93 0.2× 304 1.0× 234 1.0× 133 0.6× 240 2.4k
Xinggao Liu China 29 1.7k 1.0× 213 0.5× 148 0.5× 286 1.2× 62 0.3× 167 2.7k
Bart L. R. De Moor Belgium 13 894 0.5× 670 1.4× 171 0.6× 217 0.9× 48 0.2× 19 2.1k
Saeed Tavakoli Iran 23 674 0.4× 314 0.7× 356 1.2× 135 0.6× 46 0.2× 74 1.6k
Valder Steffen Brazil 26 724 0.4× 862 1.9× 90 0.3× 716 3.0× 61 0.3× 160 2.2k
Yongbin Liu China 28 1.6k 0.9× 381 0.8× 297 1.0× 1.0k 4.3× 57 0.3× 130 2.6k
Lars Imsland Norway 29 2.0k 1.1× 361 0.8× 779 2.6× 819 3.4× 590 2.8× 181 3.8k
Ali Zolghadri France 31 3.2k 1.8× 106 0.2× 155 0.5× 265 1.1× 93 0.4× 144 3.6k
Sachin C. Patwardhan India 27 2.2k 1.3× 96 0.2× 324 1.1× 289 1.2× 98 0.5× 148 2.7k

Countries citing papers authored by Hugues Garnier

Since Specialization
Citations

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

Fields of papers citing papers by Hugues Garnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugues Garnier

This figure shows the co-authorship network connecting the top 25 collaborators of Hugues Garnier. A scholar is included among the top collaborators of Hugues Garnier 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 Hugues Garnier. Hugues Garnier 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.
Jha, Mayank, et al.. (2024). Remaining Useful Life prediction based on physics-informed data augmentation. Reliability Engineering & System Safety. 252. 110451–110451. 14 indexed citations
2.
Yuz, Juan I., et al.. (2024). Continuous-time model identification of the subglottal system. Biomedical Signal Processing and Control. 95(Pt A). 106394–106394.
3.
Jha, Mayank, et al.. (2022). Unsupervised Prognostics based on Deep Virtual Health Index Prediction. PHM Society European Conference. 7(1). 193–199. 4 indexed citations
4.
Chen, Fengwei, et al.. (2020). Data-Driven Modeling of Wireless Power Transfer Systems With Slowly Time-Varying Parameters. IEEE Transactions on Power Electronics. 35(11). 12442–12456. 26 indexed citations
5.
Chen, Fengwei, et al.. (2019). Recursive IV Identification of Continuous-Time Models With Time Delay From Sampled Data. IEEE Transactions on Control Systems Technology. 28(3). 1074–1082. 15 indexed citations
6.
Garnier, Hugues, et al.. (2018). In-Orbit Data Driven Identification of Satellite Inertia Matrix. IFAC-PapersOnLine. 51(15). 467–472. 3 indexed citations
7.
Chen, Fengwei, Marion Gilson, Hugues Garnier, & Tao Liu. (2017). Robust time-domain output error method for identifying continuous-time systems with time delay. Systems & Control Letters. 102. 81–92. 13 indexed citations
8.
Chen, Fengwei, Juan C. Agüero, Marion Gilson, Hugues Garnier, & Tao Liu. (2017). EM-based identification of continuous-time ARMA Models from irregularly sampled data. Automatica. 77. 293–301. 22 indexed citations
9.
Chen, Fengwei, Hugues Garnier, Marion Gilson, Juan C. Agüero, & Tao Liu. (2016). Refined instrumental variable parameter estimation of continuous‐time Box–Jenkins models from irregularly sampled data. IET Control Theory and Applications. 11(2). 291–300. 8 indexed citations
10.
Young, Peter C., Hugues Garnier, & Marion Gilson. (2015). Simple refined IV methods of closed-loop system identification. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
11.
Garnier, Hugues, et al.. (2015). Version 7.0 of the CONTSID toolbox. IFAC-PapersOnLine. 48(28). 757–762. 6 indexed citations
12.
Gilson, Marion, James S. Welsh, & Hugues Garnier. (2013). Frequency-domain instrumental variable based method for wide band system identification. 42. 1663–1668. 8 indexed citations
13.
Garnier, Hugues, et al.. (2012). Instrumental variable methods for identifying partial differential equation models of distributed parameter systems. IFAC Proceedings Volumes. 45(16). 840–845. 5 indexed citations
14.
Tóth, Roland, Vincent Laurain, Marion Gilson, & Hugues Garnier. (2012). Instrumental variable scheme for closed-loop LPV model identification. Automatica. 48(9). 2314–2320. 46 indexed citations
15.
Gilson, Marion, et al.. (2012). A Kalman Pre-filtered IV-Based Approach to Continuous-Time Hammerstein-Wiener System Identification. IFAC Proceedings Volumes. 45(16). 828–833. 4 indexed citations
16.
Laurain, Vincent, Marion Gilson, Roland Tóth, & Hugues Garnier. (2010). Refined instrumental variable methods for identification of LPV Box–Jenkins models. Automatica. 46(6). 959–967. 123 indexed citations
17.
Laurain, Vincent, et al.. (2009). Data-based mechanistic rainfall-runoff continuous-time modelling in urban context. IFAC Proceedings Volumes. 42(10). 1780–1785. 2 indexed citations
18.
Garnier, Hugues, et al.. (2006). LATEST DEVELOPMENTS FOR THE MATLAB CONTSID TOOLBOX. IFAC Proceedings Volumes. 39(1). 714–719. 18 indexed citations
19.
Rao, G.P. & Hugues Garnier. (2004). Identification of continuous-time systems: direct or indirect?. Systems Science. 30(3). 3–50. 18 indexed citations
20.
Garnier, Hugues, et al.. (2003). An approach to continuous-time model identification from non-uniformly sampled data. 1. 622–623. 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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