Christophe Ley
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 2%
- Statistics and Probability top 0.5%
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 5%
- Co-authors
- Christophe LeysOlivier KleinLaurent LicataPhilippe BernardYves DominicyYvik SwanDaniël LakensYouri L. Mora
- Topics
- Statistical Distribution Estimation and Applications (20 papers)Bayesian Methods and Mixture Models (16 papers)Advanced Statistical Methods and Models (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Information Theory
- Partner nations
- BelgiumLuxembourgGermany
In The Last Decade
Christophe Ley
83 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 218
- Cognitive Neuroscience 621
- Artificial Intelligence 559
- Statistics and Probability 486
- Experimental and Cognitive Psychology 365
- Social Psychology 327
Countries citing papers authored by Christophe Ley
This map shows the geographic impact of Christophe Ley'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 Christophe Ley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Ley more than expected).
Fields of papers citing papers by Christophe Ley
This network shows the impact of papers produced by Christophe Ley. 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 Christophe Ley. The network helps show where Christophe Ley may publish in the future.
Co-authorship network of co-authors of Christophe Ley
This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Ley. A scholar is included among the top collaborators of Christophe Ley 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 Christophe Ley. Christophe Ley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 17 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | Stein's Method Meets Statistics: A Review of Some Recent Developments | 3 |
| 13 | 12 | |
| 14 | 12 | |
| 15 | 11 | |
| 16 | 2 | |
| 17 | Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the medianbreakdown → | 2647 |
| 18 | Stein's density approach for discrete distributions with applications to information inequalities | 3 |
| 19 | The normalizing constant in multivariate t distributions: dimension one versus higher dimensions | 1 |
| 20 | 14 |
About Christophe Ley
Christophe Ley is a scholar working on Statistics and Probability, Health Informatics and Finance, having authored 86 papers that have together received 4.1k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (20 papers), Bayesian Methods and Mixture Models (16 papers) and Advanced Statistical Methods and Models (15 papers). The work is most often cited by research in Statistics and Probability (486 citations), Cognitive Neuroscience (621 citations) and Health Informatics (42 citations). Christophe Ley has collaborated with scholars based in Belgium, Luxembourg and Germany. Frequent co-authors include Christophe Leys, Olivier Klein, Laurent Licata, Philippe Bernard, Yves Dominicy, Yvik Swan, Daniël Lakens, Youri L. Mora, Marie Delacre and Thomas Tischer. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Information Theory.
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.