Carolin Strobl
- Ecological Modeling top 2%
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 10
- Advanced Statistical Methods and Models 7
- Statistical Methods and Bayesian Inference 6
- Environmental Engineering top 1%
- Global and Planetary Change top 2%
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- Psychometric Methodologies and Testing 15
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- Gene expression and cancer classification 12
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- Advanced Statistical Modeling Techniques 11
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- Data Mining Algorithms and Applications 8
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- Bayesian Modeling and Causal Inference 6
- Co-authors
- Achim ZeileisAnne‐Laure BoulesteixTorsten HothornJames D. MalleyGerhard TutzThomas AugustinThomas KneibJulia Kopf
- Journals
- Educational and Psychological Measurement (6 papers)BMC Bioinformatics (5 papers)Computational Statistics & Data Analysis (3 papers)
- Partner nations
- GermanySwitzerlandAustria
In The Last Decade
Carolin Strobl
66 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Ecological Modeling 355
- Statistics and Probability 666
- Nature and Landscape Conservation 738
- Environmental Engineering 846
- Global and Planetary Change 1.1k
Countries citing papers authored by Carolin Strobl
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).
Fields of papers citing papers by Carolin Strobl
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
The 25 scholars most cited alongside Carolin Strobl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 46 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 104 | |
| 9 | 2017 | 14 | |
| 10 | 2013 | 102 | |
| 11 | 2013 | 193 | |
| 12 | 2011 | 96 | |
| 13 | 2010 | 267 | |
| 14 | An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests.breakdown → | 2009 | 1865 |
| 15 | Party on! A new, conditional variable importance measure available in the party package | 2009 | 13 |
| 16 | 2009 | 47 | |
| 17 | Conditional variable importance for random forestsbreakdown → | 2008 | 2282 |
| 18 | 2007 | 11 | |
| 19 | Bias in random forest variable importance measures: Illustrations, sources and a solutionbreakdown → | 2007 | 2459 |
| 20 | 2005 | 5 |
About Carolin Strobl
Carolin Strobl is a scholar working on Statistics and Probability, Management Science and Operations Research and Neuropsychology and Physiological Psychology, having authored 70 papers that have together received 9.0k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (15 papers), Gene expression and cancer classification (12 papers), Advanced Statistical Modeling Techniques (11 papers), Statistical Methods and Inference (10 papers), Data Mining Algorithms and Applications (8 papers), Advanced Statistical Methods and Models (7 papers), Statistical Methods and Bayesian Inference (6 papers) and Bayesian Modeling and Causal Inference (6 papers). The work is most often cited by research in Ecological Modeling (355 citations), Statistics and Probability (666 citations) and Nature and Landscape Conservation (738 citations). Carolin Strobl has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Achim Zeileis, Anne‐Laure Boulesteix, Torsten Hothorn, James D. Malley, Gerhard Tutz, Thomas Augustin, Thomas Kneib, Julia Kopf, Kristin K. Nicodemus and Andreas Ziegler. Their work appears in journals such as Educational and Psychological Measurement, BMC Bioinformatics, Computational Statistics & Data Analysis, Journal of Educational and Behavioral Statistics and Psychological Methods.
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.