Peter J. Rousseeuw

83.5k total citations · 17 hit papers
195 papers, 52.8k citations indexed

About

Peter J. Rousseeuw is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Peter J. Rousseeuw has authored 195 papers receiving a total of 52.8k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Statistics and Probability, 74 papers in Statistics, Probability and Uncertainty and 24 papers in Artificial Intelligence. Recurrent topics in Peter J. Rousseeuw's work include Advanced Statistical Methods and Models (120 papers), Advanced Statistical Process Monitoring (71 papers) and Statistical Methods and Inference (52 papers). Peter J. Rousseeuw is often cited by papers focused on Advanced Statistical Methods and Models (120 papers), Advanced Statistical Process Monitoring (71 papers) and Statistical Methods and Inference (52 papers). Peter J. Rousseeuw collaborates with scholars based in Belgium, United States and Netherlands. Peter J. Rousseeuw's co-authors include Annick M. Leroy, Leonard Kaufman, Gregory F. Piepel, Katrien Van Driessen, Christophe Croux, Mia Hubert, Elvezio Ronchetti, Werner A. Stahel, Warren S. Sarle and Bert C. van Zomeren and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Peter J. Rousseeuw

189 papers receiving 49.8k citations

Hit Papers

Silhouettes: A graphical aid to the interpretation and va... 1984 2026 1998 2012 1987 1990 1989 1987 1987 4.0k 8.0k 12.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter J. Rousseeuw Belgium 61 13.8k 11.0k 7.3k 6.2k 3.9k 195 52.8k
Bradley Efron United States 83 21.3k 1.5× 12.8k 1.2× 5.7k 0.8× 3.7k 0.6× 9.4k 2.4× 222 98.8k
Eric R. Ziegel United States 117 8.6k 0.6× 7.0k 0.6× 4.7k 0.7× 1.8k 0.3× 3.7k 1.0× 598 80.7k
John W. Tukey United States 70 8.1k 0.6× 6.7k 0.6× 3.3k 0.5× 4.7k 0.8× 2.9k 0.7× 229 52.7k
George E. P. Box United States 87 12.0k 0.9× 8.4k 0.8× 8.9k 1.2× 1.6k 0.3× 4.3k 1.1× 280 90.1k
N. M. Laird United States 20 6.4k 0.5× 12.5k 1.1× 1.2k 0.2× 5.3k 0.8× 2.8k 0.7× 32 37.2k
Jerome H. Friedman United States 61 13.8k 1.0× 35.4k 3.2× 2.8k 0.4× 13.3k 2.2× 15.5k 4.0× 139 141.6k
J. A. Nelder United Kingdom 48 9.4k 0.7× 5.5k 0.5× 2.2k 0.3× 1.6k 0.3× 3.2k 0.8× 153 55.9k
Jianqing Fan United States 84 18.4k 1.3× 6.8k 0.6× 1.6k 0.2× 2.2k 0.3× 2.8k 0.7× 342 32.3k
Adrian E. Raftery United States 79 8.6k 0.6× 11.0k 1.0× 1.7k 0.2× 1.7k 0.3× 4.9k 1.3× 277 55.6k
Donald B. Rubin United States 118 57.7k 4.2× 28.0k 2.6× 6.2k 0.9× 6.8k 1.1× 6.5k 1.7× 406 209.1k

Countries citing papers authored by Peter J. Rousseeuw

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Rousseeuw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Rousseeuw. 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 Peter J. Rousseeuw. The network helps show where Peter J. Rousseeuw may publish in the future.

Co-authorship network of co-authors of Peter J. Rousseeuw

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Rousseeuw. A scholar is included among the top collaborators of Peter J. Rousseeuw 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 Peter J. Rousseeuw. Peter J. Rousseeuw 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.
Hubert, Mia, et al.. (2024). Robust discriminant analysis. Wiley Interdisciplinary Reviews Computational Statistics. 16(5).
2.
Hubert, Mia, et al.. (2024). Multivariate Singular Spectrum Analysis by Robust Diagonalwise Low-Rank Approximation. Journal of Computational and Graphical Statistics. 34(1). 360–373.
3.
Rousseeuw, Peter J.. (2024). An Alternate History for Machine Learning?. SHILAP Revista de lepidopterología. 6(1).
4.
Rousseeuw, Peter J. & Stefan Van Aelst. (2007). A Survey of Robust Statistics - Comment. Statistical Methods & Applications. 15(3). 290–292. 1 indexed citations
5.
Aucremanne, Luc, Guy Brys, Mia Hubert, Peter J. Rousseeuw, & Anja Struyf. (2002). Inflation, relative prices and nominal rigidities. RePEc: Research Papers in Economics. 19. 81–105. 32 indexed citations
6.
Aucremanne, Luc, Guy Brys, Mia Hubert, Peter J. Rousseeuw, & Anja Struyf. (2002). WORKING PAPERS - RESEARCH SERIES INFLATION, RELATIVE PRICES AND NOMINAL RIGIDITIES. SSRN Electronic Journal. 115 indexed citations
7.
Hubert, Mia, Peter J. Rousseeuw, & Stefan Van Aelst. (2002). Inconsistency of resampling algorithms for high-breakdown regression estimators and a new algorithm - Comment. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
8.
Ramaswami, Suneeta, Peter J. Rousseeuw, J. Antoni Sellarès, et al.. (2001). Fast implementation of depth contours using topological sweep. Symposium on Discrete Algorithms. 690–699. 14 indexed citations
9.
Haezendonck, Elvira, Greet Pison, Peter J. Rousseeuw, Anja Struyf, & Alain Verbeke. (2001). The core competences of the Antwerp seaport: An analysis of "port specific" advantages. VUBIR (Vrije Universiteit Brussel). 28(3). 325–349. 4 indexed citations
10.
Rousseeuw, Peter J. & Mia Hubert. (1999). Regression Depth. Journal of the American Statistical Association. 94(446). 388–402. 105 indexed citations
11.
Christmann, Andreas & Peter J. Rousseeuw. (1999). Measuring overlap in logistic regression. Econstor (Econstor). 1 indexed citations
12.
Rousseeuw, Peter J. & Ida Ruts. (1998). Constructing the bivariate Tukey median. Statistica Sinica. 8(3). 827–839. 57 indexed citations
13.
Hössjer, Ola, Peter J. Rousseeuw, & Christophe Croux. (1996). Asymptotics of an estimator of a robust spread functional. Statistica Sinica. 6(2). 375–388. 3 indexed citations
14.
Rousseeuw, Peter J., Christophe Croux, & Ola Hössjer. (1995). Sensitivity functions and numerical analysis of the repeated median slope. Computational Statistics. 10(1). 71–90. 4 indexed citations
15.
Rousseeuw, Peter J. & Geert Molenberghs. (1994). The Shape of Correlation Matrices. The American Statistician. 48(4). 276–279. 55 indexed citations
16.
Rousseeuw, Peter J. & Bert C. van Zomeren. (1990). Unmasking Multivariate Outliers and Leverage Points. Journal of the American Statistical Association. 85(411). 633–639. 974 indexed citations breakdown →
17.
Kaufman, L., Philip K. Hopke, & Peter J. Rousseeuw. (1988). Using a parallel computer system for statistical resampling methods. Computational Statistics. 2. 129–141. 6 indexed citations
18.
Loore, C. De, et al.. (1987). A new statistical method to derive radial velocity shifts from stellar spectra. 178(4). 307–309. 2 indexed citations
19.
Rousseeuw, Peter J.. (1987). An application of L1 to astronomy. STIN. 88. 10702. 5 indexed citations
20.
Hampel, Frank R., Peter J. Rousseeuw, & Elvezio Ronchetti. (1981). The Change-of-Variance Curve and Optimal Redescending M -Estimators. Journal of the American Statistical Association. 76(375). 643–648. 44 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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