Torsten Hothorn

58.4k total citations · 11 hit papers
218 papers, 29.3k citations indexed

About

Torsten Hothorn is a scholar working on Statistics and Probability, Artificial Intelligence and Ecology. According to data from OpenAlex, Torsten Hothorn has authored 218 papers receiving a total of 29.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Statistics and Probability, 38 papers in Artificial Intelligence and 31 papers in Ecology. Recurrent topics in Torsten Hothorn's work include Statistical Methods and Inference (42 papers), Statistical Methods and Bayesian Inference (22 papers) and Statistical Methods in Clinical Trials (18 papers). Torsten Hothorn is often cited by papers focused on Statistical Methods and Inference (42 papers), Statistical Methods and Bayesian Inference (22 papers) and Statistical Methods in Clinical Trials (18 papers). Torsten Hothorn collaborates with scholars based in Germany, Switzerland and United States. Torsten Hothorn's co-authors include Frank Bretz, Peter H. Westfall, Achim Zeileis, Kurt Hornik, Carolin Strobl, Anne‐Laure Boulesteix, Barry J. Everitt, Berthold Lausen, Mark A. van de Wiel and Jörg Müller and has published in prestigious journals such as Nature, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Torsten Hothorn

210 papers receiving 28.5k citations

Hit Papers

Simultaneous Inference in General Parametric Models 2006 2026 2012 2019 2008 2006 2007 2015 2008 2.5k 5.0k 7.5k 10.0k

Peers

Torsten Hothorn
Comparison fields: 5 of 235
  • Ecology 5.9k
  • Ecology, Evolution, Behavior and Systematics 4.3k
  • Nature and Landscape Conservation 4.0k
  • Plant Science 3.7k
  • Global and Planetary Change 3.5k
Replace W. N. Venables with:
W. N. Venables Australia
Sanford Weisberg United States
Anne Chao Taiwan
Peter H. Westfall United States
Achim Zeileis Austria
B. D. Ripley United Kingdom
Frank Bretz Switzerland
John Fox Canada
Larry V. Hedges United States
Hadley Wickham United States
W. N. Venables Australia View profile →
Citations per field, relative to Torsten Hothorn
Torsten Hothorn · 1×
Citations per year, relative to Torsten Hothorn
Torsten Hothorn · 1×

Countries citing papers authored by Torsten Hothorn

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Hothorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Torsten Hothorn. 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 Torsten Hothorn. The network helps show where Torsten Hothorn may publish in the future.

Co-authorship network of co-authors of Torsten Hothorn

This figure shows the co-authorship network connecting the top 25 collaborators of Torsten Hothorn. A scholar is included among the top collaborators of Torsten Hothorn 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 Torsten Hothorn. Torsten Hothorn 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
# Work Indexed citations
1 2
2 0
3 3
4 13
5 1
6 9
7 6
8 23
9
Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes.
1
10 12
11 65
12 1
13 6
14 16
15 6
16 35
17
Boosting Algorithms: Regularization, Prediction and Model Fitting. Rejoinder.
5
18 154
19
Unbiased Recursive Partitioning: A Conditional Inference Framework breakdown →
2750
20
Determination of optimal prediction oriented multivariate latent factor models using loss functions
1

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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