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.
Bias in random forest variable importance measures: Illustrations, sources and a solution
20072.5k citationsCarolin Strobl, Anne‐Laure Boulesteix et al.BMC Bioinformaticsprofile →
Conditional variable importance for random forests
20082.3k citationsCarolin Strobl, Anne‐Laure Boulesteix et al.BMC Bioinformaticsprofile →
An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests.
20091.9k citationsCarolin Strobl, James D. Malley et al.Psychological Methodsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Carolin Strobl
Since
Specialization
Citations
This map shows the geographic impact of Carolin Strobl'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 Carolin Strobl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolin Strobl more than expected).
This network shows the impact of papers produced by Carolin Strobl. 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 Carolin Strobl. The network helps show where Carolin Strobl may publish in the future.
Co-authorship network of co-authors of Carolin Strobl
This figure shows the co-authorship network connecting the top 25 collaborators of Carolin Strobl.
A scholar is included among the top collaborators of Carolin Strobl 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 Carolin Strobl. Carolin Strobl is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Strobl, Carolin, James D. Malley, & Gerhard Tutz. (2009). An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests.. Psychological Methods. 14(4). 323–348.1865 indexed citations breakdown →
17.
Strobl, Carolin, Torsten Hothorn, & Achim Zeileis. (2009). Party on! A new, conditional variable importance measure available in the party package. The R Journal.13 indexed citations
18.
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
19.
Strobl, Carolin, Anne‐Laure Boulesteix, Achim Zeileis, & Torsten Hothorn. (2007). Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC Bioinformatics. 8(1). 25–25.2459 indexed citations breakdown →
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.