Laurent Gardès

981 total citations
38 papers, 552 citations indexed

About

Laurent Gardès is a scholar working on Statistics and Probability, Finance and Global and Planetary Change. According to data from OpenAlex, Laurent Gardès has authored 38 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 27 papers in Finance and 11 papers in Global and Planetary Change. Recurrent topics in Laurent Gardès's work include Financial Risk and Volatility Modeling (27 papers), Statistical Methods and Inference (20 papers) and Statistical Distribution Estimation and Applications (18 papers). Laurent Gardès is often cited by papers focused on Financial Risk and Volatility Modeling (27 papers), Statistical Methods and Inference (20 papers) and Statistical Distribution Estimation and Applications (18 papers). Laurent Gardès collaborates with scholars based in France, Switzerland and Canada. Laurent Gardès's co-authors include Stéphane Girard, Gilles Stupfler, Armelle Guillou, Abdelaati Daouia, Jean Diebolt, S. Douté, Mathieu Fauvel, Jean‐Dominique Creutin, Gilles Molinié and Sandrine Anquetin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Natural hazards and earth system sciences.

In The Last Decade

Laurent Gardès

34 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurent Gardès France 14 364 311 154 89 78 38 552
Zakhar Kabluchko Germany 14 356 1.0× 235 0.8× 160 1.0× 106 1.2× 107 1.4× 85 770
Goedele Dierckx Belgium 11 382 1.0× 277 0.9× 135 0.9× 75 0.8× 117 1.5× 15 513
Deyuan Li China 13 339 0.9× 249 0.8× 116 0.8× 54 0.6× 143 1.8× 40 571
Petra Vynckier Belgium 9 387 1.1× 252 0.8× 170 1.1× 76 0.9× 155 2.0× 9 592
Gabriel Frahm Germany 10 380 1.0× 145 0.5× 147 1.0× 126 1.4× 192 2.5× 36 619
Axel Bücher Germany 14 368 1.0× 231 0.7× 105 0.7× 34 0.4× 140 1.8× 47 531
Tertius de Wet South Africa 14 246 0.7× 343 1.1× 84 0.5× 58 0.7× 59 0.8× 58 545
Jan-Frederik Mai Germany 12 364 1.0× 190 0.6× 67 0.4× 142 1.6× 93 1.2× 48 517
Daniel Berg Germany 11 341 0.9× 125 0.4× 114 0.7× 59 0.7× 185 2.4× 15 691
Rafael Schmidt Germany 9 606 1.7× 222 0.7× 227 1.5× 113 1.3× 298 3.8× 18 884

Countries citing papers authored by Laurent Gardès

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Gardès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Gardès

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Gardès. A scholar is included among the top collaborators of Laurent Gardès 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 Laurent Gardès. Laurent Gardès 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.
Gardès, Laurent, et al.. (2025). Dimension reduction for the estimation of the conditional tail index. Scandinavian Journal of Statistics. 52(3). 1444–1476.
2.
Gardès, Laurent. (2020). Nonparametric confidence intervals for conditional quantiles with large-dimensional covariates. Electronic Journal of Statistics. 14(1). 2 indexed citations
3.
Gardès, Laurent, et al.. (2019). Estimation of extreme conditional quantiles under a general tail-first-order condition. Annals of the Institute of Statistical Mathematics. 72(4). 915–943. 1 indexed citations
4.
Gardès, Laurent, Stéphane Girard, & Gilles Stupfler. (2019). Beyond tail median and conditional tail expectation: Extreme risk estimation using tail Lp‐optimization. Scandinavian Journal of Statistics. 47(3). 922–949. 5 indexed citations
5.
Gardès, Laurent, et al.. (2018). Kernel estimation of extreme regression risk measures. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
6.
Gardès, Laurent, et al.. (2016). A mixture model for dimension reduction. Communication in Statistics- Theory and Methods. 46(21). 10768–10787. 4 indexed citations
7.
Gardès, Laurent & Stéphane Girard. (2015). Nonparametric estimation of the conditional tail copula. Journal of Multivariate Analysis. 137. 1–16. 6 indexed citations
8.
Gardès, Laurent & Stéphane Girard. (2015). On the estimation of the functional Weibull tail-coefficient. Journal of Multivariate Analysis. 146. 29–45. 9 indexed citations
9.
Gardès, Laurent & Gilles Stupfler. (2014). Estimating extreme quantiles under random truncation. Test. 24(2). 207–227. 13 indexed citations
10.
Gardès, Laurent & Gilles Stupfler. (2013). Estimation of the conditional tail index using a smoothed local Hill estimator. Extremes. 17(1). 45–75. 35 indexed citations
11.
Girard, Stéphane & Laurent Gardès. (2012). Functional kernel estimators of conditional extreme quantiles. HAL (Le Centre pour la Communication Scientifique Directe).
12.
Gardès, Laurent, et al.. (2012). Estimating the conditional tail index by integrating a kernel conditional quantile estimator. Journal of Statistical Planning and Inference. 142(6). 1586–1598. 7 indexed citations
13.
Gardès, Laurent & Stéphane Girard. (2010). Conditional extremes from heavy-tailed distributions: an application to the estimation of extreme rainfall return levels. Extremes. 13(2). 177–204. 52 indexed citations
14.
Gardès, Laurent, Stéphane Girard, & Armelle Guillou. (2010). Weibull tail-distributions revisited: A new look at some tail estimators. Journal of Statistical Planning and Inference. 141(1). 429–444. 20 indexed citations
15.
Gardès, Laurent, et al.. (2009). Functional nonparametric estimation of conditional extreme quantiles. Journal of Multivariate Analysis. 101(2). 419–433. 32 indexed citations
16.
Douté, S., et al.. (2009). Retrieval of Mars surface physical properties from OMEGA hyperspectral images using regularized sliced inverse regression. Journal of Geophysical Research Atmospheres. 114(E6). 19 indexed citations
17.
Gardès, Laurent & Stéphane Girard. (2008). A moving window approach for nonparametric estimation of the conditional tail index. Journal of Multivariate Analysis. 99(10). 2368–2388. 34 indexed citations
18.
Gardès, Laurent & Stéphane Girard. (2007). Estimation of the Weibull tail-coefficient with linear combination of upper order statistics. Journal of Statistical Planning and Inference. 138(5). 1416–1427. 27 indexed citations
19.
Diebolt, Jean, Laurent Gardès, Stéphane Girard, & Armelle Guillou. (2007). Bias-reduced estimators of the Weibull tail-coefficient. Test. 17(2). 311–331. 26 indexed citations
20.
Gardès, Laurent & Stéphane Girard. (2005). Asymptotic distribution of a Pickands-type estimator of the extreme-value index. Comptes Rendus Mathématique. 341(1). 53–58.

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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