2026 Gerhard Tutz: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	40	1990	1747	125	112	270	11860

Gerhard Tutz publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Gerhard Tutz sits on this spectrum.

42 publications 537+

This scientist: 270 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Gerhard Tutz D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Gerhard Tutz sits on this spectrum.

30 D-Index 86+

This scientist: 40 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Gerhard Tutz is affiliated with Ludwig-Maximilians-Universität München in Germany. Their research spans a variety of topics primarily within the realms of mathematics and statistics, with a focus on statistical methods and Bayesian inference.

The main fields of study covered by their work include:

Mathematics

Within these fields, their contributions extend to several subfields:

Statistics and Probability
Economics and Econometrics
Management Science and Operations Research
Computer Networks and Communications
Artificial Intelligence

Key topics addressed in their research encompass:

Statistical Methods and Bayesian Inference
Statistical Methods and Inference
Advanced Statistical Methods and Models
Psychometric Methodologies and Testing
Advanced Statistical Modeling Techniques
Bayesian Methods and Mixture Models
Economic and Environmental Valuation

Gerhard Tutz has published several papers in prominent venues, including:

Multiple imputation using nearest neighbor methods, 2021, Information Sciences
Ordinal regression: A review and a taxonomy of models, 2021, Wiley Interdisciplinary Reviews Computational Statistics
Hierarchical Models for the Analysis of Likert Scales in Regression and Item Response Analysis, 2020, International Statistical Review
Nearest neighbor imputation for categorical data by weighting of attributes, 2022, Information Sciences
Ordinal Trees and Random Forests: Score-Free Recursive Partitioning and Improved Ensembles, 2021, Journal of Classification

The scientist's frequent publication venues include:

arXiv (Cornell University)
Information Sciences
International Statistical Review
Statistical Modelling
Applied Psychological Measurement

Gerhard Tutz has also contributed to book publications, including a title published by Springer Nature:

A Short Guide to Item Response Theory Models, 2025

Collaborations feature regularly in their work, with frequent co-authors as follows:

Moritz Berger (6 coauthored works)
Ingrid Mauerer (5 coauthored works)
Shahla Faisal (3 coauthored works)
Gunther Schauberger (2 coauthored works)
Pascal Jordan (2 coauthored works)

Best Publications

An Introduction to Recursive Partitioning: Rationale, Application and Characteristics of Classification and Regression Trees, Bagging and Random Forests

Carolin Strobl;James Malley;Gerhard Tutz

2928
Citations
Multivariate Statistical Modelling Based on Generalized Linear Models

Ludwig Fahrmeir;Gerhard Tutz

2086
Citations
Regression for Categorical Data

Gerhard Tutz

438
Citations
Regression for Categorical Data: List of Examples

Unknown

309
Citations
Variable selection for generalized linear mixed models by L1-penalized estimation

Andreas Groll;Gerhard Tutz

303
Citations
Sequential item response models with an ordered response

Gerhard Tutz

286
Citations
Generalized additive modeling with implicit variable selection by likelihood-based boosting.

Gerhard Tutz;Harald Binder

246
Citations
Random forest for ordinal responses

Silke Janitza;Gerhard Tutz;Anne-Laure Boulesteix

233
Citations
Random effects in ordinal regression models

Gerhard Tutz;Wolfgang Hennevogl

175
Citations
Modeling Discrete Time-to-Event Data

Gerhard Tutz;Matthias Schmid

168
Citations
Variable Selection and Model Choice in Geoadditive Regression Models

Thomas Kneib;Torsten Hothorn;Gerhard Tutz

167
Citations
Sequential models in categorical regression

Gerhard Tutz

166
Citations
Improved methods for the imputation of missing data by nearest neighbor methods

Gerhard Tutz;Shahla Ramzan

163
Citations
Boosting ridge regression

Gerhard Tutz;Harald Binder

139
Citations
Sparse Modeling of Categorial Explanatory Variables

Jan Gertheiss;Gerhard Tutz

129
Citations
A Penalty Approach to Differential Item Functioning in Rasch Models

Gerhard Tutz;Gunther Schauberger

128
Citations
Dynamic Stochastic Models for Time-Dependent Ordered Paired Comparison Systems

Ludwig Fahrmeir;Gerhard Tutz

121
Citations
A CART-based approach to discover emerging patterns in microarray data.

Anne-Laure Boulesteix;Gerhard Tutz;Korbinian Strimmer

119
Citations
Penalized regression with correlation-based penalty

Gerhard Tutz;Jan Ulbricht

114
Citations
Penalized Partial Least Squares with applications to B-spline transformations and functional data

Nicole Krämer;Anne-Laure Boulesteix;Gerhard Tutz

114
Citations
Local principal curves

Jochen Einbeck;Gerhard Tutz;Ludger Evers

105
Citations

Frequent Co-Authors

Ludwig Fahrmeir Ludwig-Maximilians-Universität München

Anne-Laure Boulesteix Ludwig-Maximilians-Universität München

Thomas Kneib University of Göttingen

Galit Shmueli National Tsing Hua University

Trevor Hastie Stanford University

Brian Francis Lancaster University

Nicole C. Krämer University of Duisburg-Essen

Andreas Ziegler University of Ulm

Korbinian Strimmer University of Manchester

Achim Hoerauf University of Bonn

External Links

Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

For students studying Mathematics in the USA, exploring related online degrees can open up diverse career opportunities. Many professionals enhance their expertise through specialized programs designed for flexibility and affordability.

For example, pursuing a dba online programs offers a path to leadership roles in business analytics and data-driven decision-making. These programs are ideal for those wanting to combine mathematical skills with executive management.

Similarly, an online masters in finance programs can provide valuable knowledge in financial modeling, risk assessment, and quantitative analysis, making it a natural extension for math majors interested in the finance sector.

For professionals aiming to boost their credentials in a shorter timeframe, the shortest mba program online is an excellent option. It balances comprehensive business training with accelerated course delivery, suitable for those eager to advance quickly.

Additionally, those inclined towards marketing analytics might explore an online marketing degree, which combines data analysis with market strategy, leading to well-paying roles in digital marketing and consumer insights.