Annick M. Leroy

15.3k total citations · 2 hit papers
10 papers, 9.7k citations indexed

About

Annick M. Leroy is a scholar working on Statistics and Probability, Control and Systems Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Annick M. Leroy has authored 10 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 6 papers in Control and Systems Engineering and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Annick M. Leroy's work include Advanced Statistical Methods and Models (7 papers), Fault Detection and Control Systems (6 papers) and Advanced Statistical Process Monitoring (3 papers). Annick M. Leroy is often cited by papers focused on Advanced Statistical Methods and Models (7 papers), Fault Detection and Control Systems (6 papers) and Advanced Statistical Process Monitoring (3 papers). Annick M. Leroy collaborates with scholars based in Belgium and United States. Annick M. Leroy's co-authors include Peter J. Rousseeuw, Gregory F. Piepel, Karen Kafadar, Allan Seheult, P. J. Laycock, Howard Wainer, D.L. Massart, Leonard Kaufman, Benjamin Daniels and Anthony C. Atkinson and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Annick M. Leroy

10 papers receiving 9.1k citations

Hit Papers

Robust Regression and Outlier Detection 1987 2026 2000 2013 1989 1987 1000 2.0k 3.0k 4.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Robust Regression and Outlier Detection
    1989 4.6k citations Gregory F. Piepel, Peter J. Rousseeuw et al. Technometrics profile →
  2. Robust Regression and Outlier Detection
    1987 4.1k citations Peter J. Rousseeuw, Annick M. Leroy Wiley series in probability and statistics profile →

Peers

Annick M. Leroy
Gregory F. Piepel United States
Robert W. Kennard United States
Arthur E. Hoerl United States
Elvezio Ronchetti Switzerland
Werner A. Stahel Switzerland
Peter Hall Australia
Frank R. Hampel Switzerland
Emanuel Parzen United States
Hans‐Georg Müller United States
Douglas M. Hawkins United States
Gregory F. Piepel United States
Annick M. Leroy
Citations per year, relative to Annick M. Leroy Annick M. Leroy (= 1×) peers Gregory F. Piepel

Countries citing papers authored by Annick M. Leroy

Since Specialization
Citations

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

Fields of papers citing papers by Annick M. Leroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Annick M. Leroy. 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 Annick M. Leroy. The network helps show where Annick M. Leroy may publish in the future.

Co-authorship network of co-authors of Annick M. Leroy

This figure shows the co-authorship network connecting the top 25 collaborators of Annick M. Leroy. A scholar is included among the top collaborators of Annick M. Leroy 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 Annick M. Leroy. Annick M. Leroy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Kafadar, Karen, Peter J. Rousseeuw, & Annick M. Leroy. (1989). Robust Regression and Outlier Detection.. Journal of the American Statistical Association. 84(406). 617–617. 380 indexed citations
2.
Seheult, Allan, et al.. (1989). Robust Regression and Outlier Detection.. Journal of the Royal Statistical Society Series A (Statistics in Society). 152(1). 133–133. 176 indexed citations
3.
Laycock, P. J., et al.. (1989). Robust Regression and Outlier Detection.. Journal of the Royal Statistical Society Series D (The Statistician). 38(2). 138–138. 108 indexed citations
4.
Piepel, Gregory F., Peter J. Rousseeuw, & Annick M. Leroy. (1989). Robust Regression and Outlier Detection. Technometrics. 31(2). 260–260. 4631 indexed citations breakdown →
5.
Wainer, Howard, Peter J. Rousseeuw, & Annick M. Leroy. (1988). Robust Regression & Outlier Detection. Journal of Educational Statistics. 13(4). 358–358. 106 indexed citations
6.
Atkinson, Anthony C., Regine Hampel, Elvezio Ronchetti, et al.. (1988). Robust Statistics.. Biometrics. 44(2). 626–626. 1 indexed citations
7.
Rousseeuw, Peter J. & Annick M. Leroy. (1988). A robust scale estimator based on the shortest half. Statistica Neerlandica. 42(2). 103–116. 62 indexed citations
8.
Rousseeuw, Peter J. & Annick M. Leroy. (1987). Robust Regression and Outlier Detection. Wiley series in probability and statistics. 4121 indexed citations breakdown →
9.
Massart, D.L., Leonard Kaufman, Peter J. Rousseeuw, & Annick M. Leroy. (1986). Least median of squares: a robust method for outlier and model error detection in regression and calibration. Analytica Chimica Acta. 187. 171–179. 122 indexed citations
10.
Rousseeuw, Peter J., Benjamin Daniels, & Annick M. Leroy. (1984). Applying robust regression to insurance. Insurance Mathematics and Economics. 3(1). 67–72. 10 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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