Stéphan Clémençon

2.6k total citations
82 papers, 964 citations indexed

About

Stéphan Clémençon is a scholar working on Artificial Intelligence, Statistics and Probability and Finance. According to data from OpenAlex, Stéphan Clémençon has authored 82 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 37 papers in Statistics and Probability and 8 papers in Finance. Recurrent topics in Stéphan Clémençon's work include Statistical Methods and Inference (16 papers), Advanced Statistical Methods and Models (14 papers) and Bayesian Methods and Mixture Models (13 papers). Stéphan Clémençon is often cited by papers focused on Statistical Methods and Inference (16 papers), Advanced Statistical Methods and Models (14 papers) and Bayesian Methods and Mixture Models (13 papers). Stéphan Clémençon collaborates with scholars based in France, Belgium and Hong Kong. Stéphan Clémençon's co-authors include Nicolas Vayatis, Gábor Lugosi, Patrice Bertail, Laureen Ribassin-Majed, Max Feinberg, P Verger, Marcos Faúndez-Zanuy, Laurence Likforman-Sulem, Anna Esposito and Gennaro Cordasco and has published in prestigious journals such as PLoS ONE, Biometrics and IEEE Transactions on Information Theory.

In The Last Decade

Stéphan Clémençon

74 papers receiving 937 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphan Clémençon France 17 462 271 141 101 68 82 964
Mohsen Maleki Iran 19 400 0.9× 305 1.1× 43 0.3× 61 0.6× 129 1.9× 57 1.0k
Alfonso Gordaliza Spain 15 630 1.4× 522 1.9× 152 1.1× 53 0.5× 19 0.3× 41 1.1k
Grant Wang United States 9 318 0.7× 43 0.2× 108 0.8× 32 0.3× 33 0.5× 12 630
Yongsong Qin China 10 157 0.3× 253 0.9× 81 0.6× 40 0.4× 21 0.3× 62 484
Yanyuan Ma United States 23 397 0.9× 1.4k 5.1× 77 0.5× 102 1.0× 170 2.5× 137 1.9k
Thomas S. Richardson United States 21 880 1.9× 794 2.9× 63 0.4× 159 1.6× 15 0.2× 66 1.8k
Aurore Delaigle Australia 24 445 1.0× 1.1k 4.0× 103 0.7× 107 1.1× 90 1.3× 62 1.6k
Wen‐Xin Zhou United States 14 163 0.4× 399 1.5× 54 0.4× 58 0.6× 66 1.0× 48 686
Man‐Lai Tang Hong Kong 21 315 0.7× 1.3k 4.8× 48 0.3× 229 2.3× 33 0.5× 173 1.9k
Yun Yang United States 14 391 0.8× 406 1.5× 86 0.6× 31 0.3× 6 0.1× 39 905

Countries citing papers authored by Stéphan Clémençon

Since Specialization
Citations

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

Fields of papers citing papers by Stéphan Clémençon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphan Clémençon

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphan Clémençon. A scholar is included among the top collaborators of Stéphan Clémençon 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 Stéphan Clémençon. Stéphan Clémençon 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.
Irurozki, Ekhiñe, et al.. (2024). Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks. SPIRE - Sciences Po Institutional REpository. 11759–11785.
2.
Clémençon, Stéphan, et al.. (2024). Weibull mixture estimation based on censored data with applications to clustering in reliability engineering. Quality and Reliability Engineering International. 40(8). 4247–4261.
3.
Clémençon, Stéphan, et al.. (2024). Regular variation in Hilbert spaces and principal component analysis for functional extremes. Stochastic Processes and their Applications. 174. 104375–104375.
4.
Clémençon, Stéphan, et al.. (2024). Learning to rank anomalies: scalar performance criteria and maximization of rank statistics. Machine Learning. 113(11-12). 8623–8653.
5.
Ramantanis, Pétros, Élie Awwad, Ekhiñe Irurozki, et al.. (2024). Machine Learning-Driven Low-Complexity Optical Power Optimization for Point-to-Point Links. SPIRE - Sciences Po Institutional REpository. W2A.19–W2A.19.
6.
Feinberg, Max, Stéphan Clémençon, Serge Rudaz, & Julien Boccard. (2024). Kernel‐Based Bootstrap Synthetic Data to Estimate Measurement Uncertainty in Analytical Sciences. Journal of Chemometrics. 38(12). 1 indexed citations
7.
Clémençon, Stéphan, et al.. (2021). Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite Ranking. arXiv (Cornell University). 1 indexed citations
8.
Clémençon, Stéphan, et al.. (2019). Traffic Analysis Based on Bluetooth Passive Scanning. SPIRE - Sciences Po Institutional REpository. 36. 1–6. 5 indexed citations
9.
Clémençon, Stéphan, et al.. (2019). A Multivariate Extreme Value Theory Approach to Anomaly Clustering and\n Visualization. arXiv (Cornell University). 8 indexed citations
10.
Clémençon, Stéphan, et al.. (2017). Mass Volume Curves and Anomaly Ranking. arXiv (Cornell University). 5 indexed citations
11.
Clémençon, Stéphan, et al.. (2015). A statistical network analysis of the HIV/AIDS epidemics in Cuba. Social Network Analysis and Mining. 5(1). 6 indexed citations
12.
Clémençon, Stéphan, et al.. (2015). Scalability of Stochastic Gradient Descent based on “Smart” Sampling Techniques. Procedia Computer Science. 53. 308–315. 2 indexed citations
13.
Clémençon, Stéphan. (2013). A statistical view of clustering performance through the theory ofU-processes. Journal of Multivariate Analysis. 124. 42–56. 7 indexed citations
14.
Feinberg, Max, et al.. (2012). New approach for the assessment of cluster diets. Food and Chemical Toxicology. 52. 180–187. 34 indexed citations
15.
16.
Feinberg, Max, et al.. (2011). Extraction of Food Consumption Systems by Nonnegative Matrix Factorization (NMF) for the Assessment of Food Choices. Biometrics. 67(4). 1647–1658. 18 indexed citations
17.
Clémençon, Stéphan, et al.. (2009). Statistical analysis of a dynamic model for dietary contaminant exposure. Journal of Biological Dynamics. 4(2). 212–234. 8 indexed citations
18.
Bertail, Patrice, Stéphan Clémençon, & Jessica Tressou. (2009). Renewal approach to U-Statistics for Markovian data. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
19.
Bertail, Patrice, Stéphan Clémençon, & Jessica Tressou. (2008). A storage model with random release rate for modeling exposure to food contaminants. SPIRE - Sciences Po Institutional REpository. 3 indexed citations
20.
Clémençon, Stéphan, Gábor Lugosi, & Nicolas Vayatis. (2006). Ranking and empirical minimization of U-statistics. arXiv (Cornell University). 119 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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