Hervé Cardot

3.2k total citations
65 papers, 2.0k citations indexed

About

Hervé Cardot is a scholar working on Statistics and Probability, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Hervé Cardot has authored 65 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 9 papers in Global and Planetary Change. Recurrent topics in Hervé Cardot's work include Statistical Methods and Inference (29 papers), Advanced Statistical Methods and Models (20 papers) and Bayesian Methods and Mixture Models (11 papers). Hervé Cardot is often cited by papers focused on Statistical Methods and Inference (29 papers), Advanced Statistical Methods and Models (20 papers) and Bayesian Methods and Mixture Models (11 papers). Hervé Cardot collaborates with scholars based in France, Morocco and Italy. Hervé Cardot's co-authors include Pascal Sarda, Frédéric Ferraty, Philippe Besse, André Mas, David B. Stephenson, P. Sardà, Christophe Crambes, Mohamed Hilal, Pierre Wavresky and Jean Cavailhès and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Hervé Cardot

59 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hervé Cardot France 23 1.1k 487 203 184 167 65 2.0k
Manuel Febrero–Bande Spain 23 959 0.9× 547 1.1× 121 0.6× 392 2.1× 205 1.2× 66 2.6k
Probal Chaudhuri India 27 1.5k 1.4× 538 1.1× 149 0.7× 158 0.9× 97 0.6× 61 2.6k
D. J. Best Australia 21 1.1k 1.0× 460 0.9× 95 0.5× 166 0.9× 182 1.1× 120 2.9k
Chong Gu United States 23 1.0k 0.9× 442 0.9× 145 0.7× 114 0.6× 137 0.8× 48 2.1k
Antonio Cuevas Spain 20 1.2k 1.1× 645 1.3× 169 0.8× 96 0.5× 69 0.4× 60 2.1k
Wenceslao González–Manteiga Spain 31 1.8k 1.7× 619 1.3× 188 0.9× 403 2.2× 246 1.5× 172 3.1k
Sadanori Konishi Japan 20 898 0.8× 469 1.0× 171 0.8× 75 0.4× 63 0.4× 88 1.9k
William E. Strawderman United States 28 1.8k 1.7× 513 1.1× 119 0.6× 128 0.7× 101 0.6× 171 2.7k
K. Krishnamoorthy United States 28 1.6k 1.5× 283 0.6× 93 0.5× 73 0.4× 174 1.0× 125 2.8k
Mariano J. Valderrama Spain 20 543 0.5× 203 0.4× 100 0.5× 74 0.4× 66 0.4× 56 1.2k

Countries citing papers authored by Hervé Cardot

Since Specialization
Citations

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

Fields of papers citing papers by Hervé Cardot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hervé Cardot

This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Cardot. A scholar is included among the top collaborators of Hervé Cardot 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 Hervé Cardot. Hervé Cardot 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.
Cardot, Hervé & Antonio Musolesi. (2025). Partially time-invariant panel data regression. Statistics & Probability Letters. 226. 110477–110477.
2.
Bourredjem, Abderrahmane, Hervé Cardot, & Hervé Devilliers. (2024). CO7.3 - Intervalle de confiance asymptotique et formules de taille d'échantillon pour l'Intra-classe de concordance à deux voies dans les études de fiabilité inter-juge. SPIRE - Sciences Po Institutional REpository. 72. 202422–202422.
3.
Bourredjem, Abderrahmane, Hervé Cardot, & H. Devilliers. (2024). Asymptotic Confidence Interval, Sample Size Formulas and Comparison Test for the Agreement Intra‐Class Correlation Coefficient in Inter‐Rater Reliability Studies. Statistics in Medicine. 43(27). 5060–5076. 1 indexed citations
4.
Visalli, Michel, et al.. (2023). Indexes of individual repeatability and product discrimination in TDS and TCATA and their statistical inference. Food Quality and Preference. 110. 104929–104929. 5 indexed citations
5.
Visalli, Michel, et al.. (2023). Analyzing temporal dominance of sensations data with categorical functional data analysis. Food Quality and Preference. 109. 104893–104893. 7 indexed citations
6.
Cardot, Hervé, André Mas, & Pascal Sarda. (2023). Correction: CLT in functional linear regression models. Probability Theory and Related Fields. 187(1-2). 519–522.
7.
Musolesi, Antonio & Hervé Cardot. (2020). Modeling temporal treatment effects with zero inflated semi-parametric regression models: The case of local development policies in France. Institutional Research Information System University of Ferrara (University of Ferrara). 9 indexed citations
8.
Cardot, Hervé, et al.. (2015). Fast Estimation of the Median Covariation Matrix with Application to\n Online Robust Principal Components Analysis. arXiv (Cornell University). 10 indexed citations
9.
Cardot, Hervé & David Degras. (2015). Online Principal Component Analysis in High Dimension: Which Algorithm\n to Choose?. arXiv (Cornell University). 58 indexed citations
10.
Cardot, Hervé, et al.. (2014). Analysing large datasets of functional data: a survey sampling point of view. French digital mathematics library (Numdam). 155(4). 70–94. 3 indexed citations
11.
Benadjaoud, Mohamed Amine, Pierre Blanchard, Dimitri Lefkopoulos, et al.. (2014). Functional Data Analysis in NTCP Modeling: A New Method to Explore the Radiation Dose-Volume Effects. International Journal of Radiation Oncology*Biology*Physics. 90(3). 654–663. 16 indexed citations
12.
Cardot, Hervé, et al.. (2013). Uniform convergence and asymptotic confidence bands for model-assisted estimators of the mean of sampled functional data. Electronic Journal of Statistics. 7(none). 18 indexed citations
13.
Cardot, Hervé, et al.. (2012). Recursive estimation of the conditional geometric median in Hilbert\n spaces. arXiv (Cornell University). 7 indexed citations
14.
Cardot, Hervé, et al.. (2011). Efficient and fast estimation of the geometric median in Hilbert spaces\n with an averaged stochastic gradient algorithm. arXiv (Cornell University). 56 indexed citations
15.
Cardot, Hervé, et al.. (2011). Fast clustering of large datasets with sequential $k$-medians : a stochastic gradient approach. arXiv (Cornell University). 4 indexed citations
16.
Cardot, Hervé & Jan Johannes. (2009). Thresholding projection estimators in functional linear models. Journal of Multivariate Analysis. 101(2). 395–408. 38 indexed citations
17.
Cardot, Hervé, Christophe Crambes, & Pascal Sarda. (2004). Estimation spline de quantiles conditionnels pour variables explicatives fonctionnelles. Comptes Rendus Mathématique. 339(2). 141–144. 10 indexed citations
18.
Cardot, Hervé, Robert Faivre, & Michel Goulard. (2003). Functional approaches for predicting land use with the temporal evolution of coarse resolution remote sensing data. Journal of Applied Statistics. 30(10). 1185–1199. 33 indexed citations
19.
Cardot, Hervé & P. Sardà. (2003). Estimation in generalized linear models for functional data via penalized likelihood. Journal of Multivariate Analysis. 92(1). 24–41. 95 indexed citations
20.
Cardot, Hervé. (2002). Spatially Adaptive Splines for Statistical Linear Inverse Problems. Journal of Multivariate Analysis. 81(1). 100–119. 13 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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