Michel Roussignol

1.6k total citations
37 papers, 1.0k citations indexed

About

Michel Roussignol is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality and Control and Systems Engineering. According to data from OpenAlex, Michel Roussignol has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 14 papers in Safety, Risk, Reliability and Quality and 8 papers in Control and Systems Engineering. Recurrent topics in Michel Roussignol's work include Reliability and Maintenance Optimization (14 papers), Statistical Distribution Estimation and Applications (10 papers) and Geophysical and Geoelectrical Methods (6 papers). Michel Roussignol is often cited by papers focused on Reliability and Maintenance Optimization (14 papers), Statistical Distribution Estimation and Applications (10 papers) and Geophysical and Geoelectrical Methods (6 papers). Michel Roussignol collaborates with scholars based in France, Indonesia and Russia. Michel Roussignol's co-authors include Antoine Grall, Laurence Dieulle, Christophe Bérenguer, Carolina Meier‐Hirmer, Sophie Mercier, Christian Francq, Hendra Grandis, M. Menvielle, Michel Menvielle and Antoine Tordeux and has published in prestigious journals such as European Journal of Operational Research, Geophysical Journal International and Transportation Research Part B Methodological.

In The Last Decade

Michel Roussignol

35 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michel Roussignol France 14 673 287 264 249 175 37 1.0k
A. H. Christer United Kingdom 23 1.3k 1.9× 339 1.2× 492 1.9× 598 2.4× 242 1.4× 54 1.6k
Renyan Jiang China 20 823 1.2× 862 3.0× 227 0.9× 724 2.9× 121 0.7× 113 1.6k
Gianpaolo Pulcini Italy 21 928 1.4× 954 3.3× 301 1.1× 757 3.0× 92 0.5× 74 1.6k
Larry H. Crow United States 11 548 0.8× 381 1.3× 299 1.1× 263 1.1× 36 0.2× 30 745
V. Serradell Spain 14 575 0.9× 67 0.2× 222 0.8× 394 1.6× 92 0.5× 21 882
Olivier Gaudoin France 17 904 1.3× 600 2.1× 467 1.8× 353 1.4× 167 1.0× 45 1.1k
Pierre‐Etienne Labeau Belgium 16 438 0.7× 53 0.2× 172 0.7× 382 1.5× 14 0.1× 108 981
K. Kołowrocki Poland 13 326 0.5× 49 0.2× 125 0.5× 355 1.4× 20 0.1× 147 765
R. F. Drenick United States 12 112 0.2× 66 0.2× 61 0.2× 183 0.7× 14 0.1× 32 687
Harry Feingold United States 7 420 0.6× 333 1.2× 161 0.6× 269 1.1× 37 0.2× 9 662

Countries citing papers authored by Michel Roussignol

Since Specialization
Citations

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

Fields of papers citing papers by Michel Roussignol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Roussignol

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Roussignol. A scholar is included among the top collaborators of Michel Roussignol 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 Michel Roussignol. Michel Roussignol 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.
Eymard, Robert, Michel Roussignol, & Antoine Tordeux. (2012). Convergence of a misanthrope process to the entropy solution of 1D problems. Stochastic Processes and their Applications. 122(11). 3648–3679. 3 indexed citations
2.
Tordeux, Antoine, Michel Roussignol, & Sylvain Lassarre. (2012). Linear stability analysis of first-order delayed car-following models on a ring. Physical Review E. 86(3). 36207–36207. 8 indexed citations
3.
Mercier, Sophie, et al.. (2011). Piecewise deterministic Markov processes and maintenance modeling: application to maintenance of a train air-conditioning system. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 225(2). 199–209. 9 indexed citations
4.
Tordeux, Antoine, Sylvain Lassarre, & Michel Roussignol. (2010). An adaptive time gap car-following model. Transportation Research Part B Methodological. 44(8-9). 1115–1131. 1 indexed citations
5.
Mercier, Sophie & Michel Roussignol. (2008). Sensitivity Estimates in Dynamic Reliability. 208–216. 1 indexed citations
6.
Eymard, Robert, et al.. (2006). Characterization of the marginal distributions of Markovprocesses used in dynamic reliability. International Journal of Stochastic Analysis. 2006(1). 17 indexed citations
7.
Grall, Antoine, Laurence Dieulle, Christophe Bérenguer, & Michel Roussignol. (2005). Asymptotic failure rate of a continuously monitored system. Reliability Engineering & System Safety. 91(2). 126–130. 24 indexed citations
8.
Mercier, Sophie & Michel Roussignol. (2003). Asymptotic failure rate of a Markov deteriorating system with preventive maintenance. Journal of Applied Probability. 40(1). 1–19. 8 indexed citations
9.
Roussignol, Michel, et al.. (2000). A general framework for some asymptotic reliability formulas. Advances in Applied Probability. 32(2). 446–467.
10.
Menvielle, Michel, et al.. (1999). Three-Dimensional Inversion of MT Fields Using Bayesian Statistics. 406–417. 4 indexed citations
11.
Grandis, Hendra, M. Menvielle, & Michel Roussignol. (1999). Bayesian inversion with Markov chains-I. The magnetotelluricone-dimensional case. Geophysical Journal International. 138(3). 757–768. 49 indexed citations
12.
Schott, Jean‐Jacques, et al.. (1999). Bayesian inversion with Markov chains-II. The one-dimensional DC multilayer case. Geophysical Journal International. 138(3). 769–783. 14 indexed citations
13.
Spichak, Viacheslav V., M. Menvielle, & Michel Roussignol. (1999). Chapter 25 Three-dimensional inversion of MT fields using Bayesian statistics. 7. 406–417. 1 indexed citations
14.
Roussignol, Michel, et al.. (1997). Semi-Markov processes for reliability studies. ESAIM Probability and Statistics. 1. 207–223. 3 indexed citations
15.
Калашников, В. В. & Michel Roussignol. (1996). Reliability of a system with regular inspection times. Journal of Mathematical Sciences. 81(5). 2937–2950. 5 indexed citations
16.
Roussignol, Michel, et al.. (1995). Techniques de couplage en fiabilité. French digital mathematics library (Numdam). 31(1). 119–141. 4 indexed citations
17.
Tarits, Pascal, et al.. (1994). Bayesian statistics of non-linear inverse problems: example of the magnetotelluric 1-D inverse problem. Geophysical Journal International. 119(2). 353–368. 19 indexed citations
18.
Roussignol, Michel. (1986). Processus de saut avec interaction selon les plus proches particules. French digital mathematics library (Numdam). 22(2). 175–198. 1 indexed citations
19.
Roussignol, Michel, et al.. (1985). Quelques compléments sur le processus des misanthropes et le processus «zéro-range». French digital mathematics library (Numdam). 21(4). 363–382. 5 indexed citations
20.
Roussignol, Michel, et al.. (1979). Unicité d'un processus de naissance et mort sur la droite réelle. French digital mathematics library (Numdam). 15(1). 93–106. 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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