Anne‐Laure Boulesteix

21.5k total citations · 7 hit papers
148 papers, 12.0k citations indexed

About

Anne‐Laure Boulesteix is a scholar working on Molecular Biology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Anne‐Laure Boulesteix has authored 148 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 40 papers in Statistics and Probability and 37 papers in Artificial Intelligence. Recurrent topics in Anne‐Laure Boulesteix's work include Gene expression and cancer classification (54 papers), Bioinformatics and Genomic Networks (33 papers) and Statistical Methods and Inference (26 papers). Anne‐Laure Boulesteix is often cited by papers focused on Gene expression and cancer classification (54 papers), Bioinformatics and Genomic Networks (33 papers) and Statistical Methods and Inference (26 papers). Anne‐Laure Boulesteix collaborates with scholars based in Germany, Netherlands and United States. Anne‐Laure Boulesteix's co-authors include Carolin Strobl, Achim Zeileis, Torsten Hothorn, Thomas Augustin, Thomas Kneib, Korbinian Strimmer, Silke Janitza, Philipp Probst, Raphaël Couronné and Inke R. König and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Anne‐Laure Boulesteix

142 papers receiving 11.7k citations

Hit Papers

Bias in random forest variable importance measures: Illus... 2006 2026 2012 2019 2007 2008 2012 2006 2018 500 1000 1.5k 2.0k
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. Bias in random forest variable importance measures: Illustrations, sources and a solution
    2007 2.5k citations Carolin Strobl, Anne‐Laure Boulesteix et al. BMC Bioinformatics profile →
  2. Conditional variable importance for random forests
    2008 2.3k citations Carolin Strobl, Anne‐Laure Boulesteix et al. BMC Bioinformatics profile →
  3. Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics
    2012 618 citations Anne‐Laure Boulesteix, Silke Janitza et al. profile →
  4. Partial least squares: a versatile tool for the analysis of high-dimensional genomic data
    2006 604 citations Anne‐Laure Boulesteix et al. Briefings in Bioinformatics profile →
  5. Random forest versus logistic regression: a large-scale benchmark experiment
    2018 528 citations Philipp Probst, Anne‐Laure Boulesteix et al. BMC Bioinformatics profile →
  6. Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
    2023 398 citations Bernd Bischl, Theresa Ullmann et al. profile →
  7. NetCoMi: network construction and comparison for microbiome data in R
    2020 278 citations Stefanie Peschel, Christian L. Müller et al. Briefings in Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne‐Laure Boulesteix Germany 47 2.6k 1.8k 1.2k 971 916 148 12.0k
Naomi Altman United States 59 2.8k 1.1× 2.3k 1.3× 899 0.8× 716 0.7× 758 0.8× 153 14.9k
Max Kühn United States 17 1.8k 0.7× 1.5k 0.8× 1.5k 1.3× 1.1k 1.1× 220 0.2× 44 12.0k
Paul H.C. Eilers Netherlands 54 2.6k 1.0× 818 0.5× 943 0.8× 643 0.7× 2.3k 2.5× 205 13.9k
Carolin Strobl Germany 25 858 0.3× 1.3k 0.7× 1.3k 1.1× 1.1k 1.1× 666 0.7× 70 9.0k
Gareth James United States 27 910 0.3× 2.8k 1.6× 698 0.6× 894 0.9× 1.6k 1.7× 60 13.8k
Alexander Gordon United States 9 1.6k 0.6× 5.6k 3.1× 1.6k 1.3× 1.3k 1.4× 1.1k 1.2× 15 18.1k
Paul Geladi Sweden 49 3.2k 1.2× 2.2k 1.2× 1.1k 0.9× 552 0.6× 567 0.6× 215 24.0k
Ross Ihaka New Zealand 8 3.0k 1.2× 697 0.4× 1.9k 1.6× 948 1.0× 694 0.8× 18 12.2k
Sylvia Richardson United Kingdom 53 2.8k 1.1× 4.1k 2.3× 955 0.8× 1.0k 1.0× 4.3k 4.7× 236 19.0k
Daniela Witten United States 37 6.9k 2.7× 3.0k 1.6× 727 0.6× 853 0.9× 1.5k 1.7× 91 23.1k

Countries citing papers authored by Anne‐Laure Boulesteix

Since Specialization
Citations

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

Fields of papers citing papers by Anne‐Laure Boulesteix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne‐Laure Boulesteix. 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 Anne‐Laure Boulesteix. The network helps show where Anne‐Laure Boulesteix may publish in the future.

Co-authorship network of co-authors of Anne‐Laure Boulesteix

This figure shows the co-authorship network connecting the top 25 collaborators of Anne‐Laure Boulesteix. A scholar is included among the top collaborators of Anne‐Laure Boulesteix 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 Anne‐Laure Boulesteix. Anne‐Laure Boulesteix 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.
Hoffmann, Sabine, et al.. (2025). On “Confirmatory” Methodological Research in Statistics and Related Fields. Statistics in Medicine. 44(25-27). e70303–e70303.
2.
Sauerbrei, Willi, Federico Ambrogi, Riccardo De Bin, et al.. (2025). Commentary: Regression Models—Efforts Are Required to Improve Statistical Practice and Teaching. Statistics in Medicine. 44(13-14). e10341–e10341.
3.
Calster, Ben Van, et al.. (2024). A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study. Statistics in Medicine. 43(6). 1119–1134. 9 indexed citations
4.
Woehrle, Tobias, Matthias Feuerecker, Dominique Moser, et al.. (2024). Point‐of‐care breath sample analysis by semiconductor‐based E‐Nose technology discriminates non‐infected subjects from SARS‐CoV‐2 pneumonia patients: a multi‐analyst experiment. SHILAP Revista de lepidopterología. 5(11). e726–e726. 1 indexed citations
5.
Hornung, Roman, et al.. (2023). Prediction approaches for partly missing multi‐omics covariate data: A literature review and an empirical comparison study. Wiley Interdisciplinary Reviews Computational Statistics. 16(1). 5 indexed citations
6.
Hoffmann, Sabine, et al.. (2023). Explaining the optimistic performance evaluation of newly proposed methods: A cross‐design validation experiment. Biometrical Journal. 66(1). e2200238–e2200238. 10 indexed citations
7.
Rahnenführer, Jörg, Riccardo De Bin, Axel Benner, et al.. (2023). Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges. BMC Medicine. 21(1). 182–182. 38 indexed citations
8.
Ullmann, Theresa, et al.. (2022). Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study. Advances in Data Analysis and Classification. 17(1). 211–238. 8 indexed citations
9.
Peschel, Stefanie, Christian L. Müller, Erika von Mutius, Anne‐Laure Boulesteix, & Martin Depner. (2020). NetCoMi: network construction and comparison for microbiome data in R. Briefings in Bioinformatics. 22(4). 278 indexed citations breakdown →
10.
Delius, M., et al.. (2020). Delivery room desaturations and bradycardia in the early postnatal period of healthy term neonates – a prospective observational study. The Journal of Maternal-Fetal & Neonatal Medicine. 35(8). 1457–1461.
11.
Lackermair, Korbinian, Stefan Brunner, Mathias Orban, et al.. (2020). Outcome of patients treated with extracorporeal life support in cardiogenic shock complicating acute myocardial infarction: 1-year result from the ECLS-Shock study. Clinical Research in Cardiology. 110(9). 1412–1420. 32 indexed citations
12.
Boulesteix, Anne‐Laure, Rolf H. H. Groenwold, Michał Abrahamowicz, et al.. (2020). Introduction to statistical simulations in health research. BMJ Open. 10(12). e039921–e039921. 36 indexed citations
13.
Boulesteix, Anne‐Laure, Marvin N. Wright, Sabine Hoffmann, & Inke R. König. (2019). Statistical learning approaches in the genetic epidemiology of complex diseases. Human Genetics. 139(1). 73–84. 14 indexed citations
14.
Probst, Philipp, Anne‐Laure Boulesteix, & Bernd Bischl. (2019). Tunability: Importance of Hyperparameters of Machine Learning Algorithms. arXiv (Cornell University). 20(53). 1–32. 76 indexed citations
15.
Jurinović, Vindi, et al.. (2018). Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data. BMC Bioinformatics. 19(1). 322–322. 45 indexed citations
16.
Rospleszcz, Susanne, Silke Janitza, & Anne‐Laure Boulesteix. (2016). Categorical variables with many categories are preferentially selected in bootstrap‐based model selection procedures for multivariable regression models. Biometrical Journal. 58(3). 652–673. 5 indexed citations
17.
Wichard, Thomas, Serge A. Poulet, Anne‐Laure Boulesteix, et al.. (2008). Influence of diatoms on copepod reproduction. II. Uncorrelated effects of diatom-derived α,β,γ,δ-unsaturated aldehydes and polyunsaturated fatty acids on Calanus helgolandicus in the field. Progress In Oceanography. 77(1). 30–44. 50 indexed citations
18.
Dietrich, Wulf, Raimund Busley, & Anne‐Laure Boulesteix. (2008). Effects of Aprotinin Dosage on Renal Function. Anesthesiology. 108(2). 189–198. 19 indexed citations
19.
Boulesteix, Anne‐Laure, Carolin Strobl, Stephan Weidinger, H.‐Erich Wichmann, & Stefan Wagenpfeil. (2007). Multiple Testing for SNP-SNP Interactions. Statistical Applications in Genetics and Molecular Biology. 6(1). Article37–Article37. 11 indexed citations
20.
Boulesteix, Anne‐Laure. (2004). A note on between-group PCA. Econstor (Econstor). 41 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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