Heidi Seibold

735 total citations
21 papers, 293 citations indexed

About

Heidi Seibold is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Heidi Seibold has authored 21 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Heidi Seibold's work include Statistical Methods and Inference (3 papers), Data Analysis with R (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Heidi Seibold is often cited by papers focused on Statistical Methods and Inference (3 papers), Data Analysis with R (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Heidi Seibold collaborates with scholars based in Germany, Switzerland and Austria. Heidi Seibold's co-authors include Torsten Hothorn, Achim Zeileis, Anne‐Laure Boulesteix, Sabine Hoffmann, Christoph Bernau, Riccardo De Bin, Björn Bornkamp, Joaquin Vanschoren, Benjamin Hofner and Michel Lang and has published in prestigious journals such as PLoS ONE, Cochrane Database of Systematic Reviews and Journal of Psychiatric Research.

In The Last Decade

Heidi Seibold

16 papers receiving 287 citations

Peers

Countries citing papers authored by Heidi Seibold

Since Specialization

Citations

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

Fields of papers citing papers by Heidi Seibold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heidi Seibold

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	What makes forest-based heterogeneous treatment effect estimators work? 2024 ·The Annals of Applied Statistics ·(unknown), Christian Haslinger, Torsten Hothorn, Heidi Seibold, (unknown), Stefan Wager, Achim Zeileis	2
2	Prognostic models for predicting clinical disease progression, worsening and activity in people with multiple sclerosis 2023 ·Cochrane Database of Systematic Reviews ·Kelly Reeve, (unknown), Joachim Havla, Jacob Burns, Martina Gosteli, (unknown), (unknown), (unknown), Heidi Seibold, Ulrich Mansmann, Ulrike Held	15
3	Association between post-operative delirium and use of volatile anesthetics in the elderly: A real-world big data approach 2022 ·Journal of Clinical Anesthesia ·Thomas Saller, (unknown), Heidi Seibold, (unknown), Baocheng Wang, Philipp Groene, Robert Perneczky, Vera von Dossow, Ludwig Christian Hinske	13
4	Teaching Machine Learning in 2020 2021 ·Peter Steinbach, Heidi Seibold, (unknown)	0
5	Statisticians, Roll Up Your Sleeves! There's A Crisis to be Solved 2021 ·Significance ·Heidi Seibold, (unknown), Anne‐Laure Boulesteix, Sabine Hoffmann	4
6	Stratified and Personalised Models Based on Model-Based Trees and Forests [R package model4you version 0.9-6] 2020 ·Heidi Seibold, Achim Zeileis, Torsten Hothorn	0
7	A Replication Crisis in Methodological Research? 2020 ·Significance ·Anne‐Laure Boulesteix, Sabine Hoffmann, (unknown), Heidi Seibold	26
8	Estimating patient-specific treatment advantages in the ‘Treatment for Adolescents with Depression Study’ 2019 ·Journal of Psychiatric Research ·Simon Foster, Meichun Mohler‐Kuo, (unknown), Torsten Hothorn, Heidi Seibold	12
9	OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML 2019 ·Zurich Open Repository and Archive (University of Zurich) ·Giuseppe Casalicchio, Jakob Bossek, Michel Lang, (unknown), Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, Bernd Bischl	0
10	model4you: An R Package for Personalised Treatment Effect Estimation 2019 ·Journal of Open Research Software ·Heidi Seibold, Achim Zeileis, Torsten Hothorn	12
11	SIMEX- And MCSIMEX-Algorithm for Measurement Error Models [R package simex version 1.8] 2019 ·Wolfgang Lederer, Heidi Seibold	1
12	Subgroup identification in dose-finding trials via model-based recursive partitioning 2018 ·Zurich Open Repository and Archive (University of Zurich) ·(unknown), Björn Bornkamp, Heidi Seibold	11
13	Individual treatment effect prediction for ALS patients 2018 ·Zurich Open Repository and Archive (University of Zurich) ·Heidi Seibold, Achim Zeileis, Torsten Hothorn	0
14	Generalised linear model trees with global additive effects 2018 ·Advances in Data Analysis and Classification ·Heidi Seibold, Torsten Hothorn, Achim Zeileis	21
15	OpenML: An R package to connect to the machine learning platform OpenML 2017 ·Computational Statistics ·Giuseppe Casalicchio, Jakob Bossek, Michel Lang, (unknown), Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, Bernd Bischl	24
16	Model-Based Recursive Partitioning for Subgroup Analyses 2016 ·The International Journal of Biostatistics ·Heidi Seibold, Achim Zeileis, Torsten Hothorn	111
17	On the choice and influence of the number of boosting steps 2016 ·Zurich Open Repository and Archive (University of Zurich) ·Heidi Seibold, Christoph Bernau, Anne‐Laure Boulesteix, Riccardo De Bin	3
18	Patterns of Lynx Predation at the Interface between Protected Areas and Multi-Use Landscapes in Central Europe 2015 ·PLoS ONE ·Elisa Belotti, (unknown), Luděk Bufka, (unknown), Helmut Küchenhoff, Heidi Seibold, Benno Woelfing, Marco Heurich	19
19	[Continuous subcutaneous insulin infusion in the treatment of insulin-dependent diabetes mellitus]. 1988 ·PubMed ·H Gröbe, Heidi Seibold, K. J. Ullrich, (unknown), Ralph Ziegler	1
20	[Influenza C induced autoimmunohemolytic anemia. Exacerbation caused by a virus or a chronic hemolytic anemia?]. 1972 ·PubMed ·Heidi Seibold, F Michot	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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