Markus Pauly

2.9k total citations · 1 hit paper
90 papers, 1.6k citations indexed

About

Markus Pauly is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Markus Pauly has authored 90 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Statistics and Probability, 27 papers in Management Science and Operations Research and 17 papers in Artificial Intelligence. Recurrent topics in Markus Pauly's work include Statistical Methods and Inference (39 papers), Statistical Methods and Bayesian Inference (34 papers) and Statistical Methods in Clinical Trials (31 papers). Markus Pauly is often cited by papers focused on Statistical Methods and Inference (39 papers), Statistical Methods and Bayesian Inference (34 papers) and Statistical Methods in Clinical Trials (31 papers). Markus Pauly collaborates with scholars based in Germany, United States and Austria. Markus Pauly's co-authors include Frank Konietschke, Sarah Friedrich, Cliff E. Foster, Edgar Brunner, Arne C. Bathke, Martin F. Grace, Erwann Michel‐Kerjan, Robert W. Klein, Howard Kunreuther and Solomon W. Harrar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biometrics and European Heart Journal.

In The Last Decade

Markus Pauly

82 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

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.

The Self-Perception and Political Biases of ChatGPT

2024 43 citations Markus Pauly et al. Human Behavior and Emerging Technologies profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Markus Pauly Germany	23	610	209	161	158	140	90	1.6k
Luigi Salmaso Italy	26	940 1.5×	424 2.0×	310 1.9×	120 0.8×	174 1.2×	152	2.9k
Gerhard Tutz Germany	9	417 0.7×	159 0.8×	372 2.3×	70 0.4×	162 1.2×	16	2.6k
Benjamin Hofner Germany	25	413 0.7×	67 0.3×	228 1.4×	110 0.7×	357 2.5×	59	1.8k
Xinyuan Song China	28	1.3k 2.1×	265 1.3×	607 3.8×	224 1.4×	217 1.6×	144	2.8k
Russ Wolfinger United States	19	705 1.2×	226 1.1×	170 1.1×	429 2.7×	491 3.5×	40	3.1k
M. J. Crowder United Kingdom	18	1.1k 1.8×	255 1.2×	215 1.3×	110 0.7×	88 0.6×	42	2.9k
Neil H. Timm United States	13	672 1.1×	219 1.0×	151 0.9×	86 0.5×	78 0.6×	23	1.8k
Sonja Greven Germany	25	836 1.4×	84 0.4×	337 2.1×	54 0.3×	179 1.3×	64	2.6k
Anja Struyf Belgium	21	356 0.6×	98 0.5×	187 1.2×	78 0.5×	123 0.9×	26	1.9k
Fabian Scheipl Germany	19	497 0.8×	49 0.2×	198 1.2×	87 0.6×	163 1.2×	43	1.8k

Countries citing papers authored by Markus Pauly

Since Specialization

Citations

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

Fields of papers citing papers by Markus Pauly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Pauly

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chakarov, Nayden, et al.. (2025). Early and Late Buzzards: Comparing Different Approaches for Quantile‐Based Multiple Testing in Heavy‐Tailed Wildlife Research Data. Biometrical Journal. 67(4). e70065–e70065.

Horn, Daniel, et al.. (2024). Old but Gold or New and Shiny? Comparing Tree Ensembles for Ordinal Prediction with a Classic Parametric Approach. Journal of Classification. 42(2). 364–390.

Pauly, Markus, et al.. (2024). Assessing the multivariate distributional accuracy of common imputation methods. Statistical Journal of the IAOS. 40(1). 99–108. 3 indexed citations

Groll, Andreas, et al.. (2024). Using sequential statistical tests for efficient hyperparameter tuning. AStA Advances in Statistical Analysis. 108(2). 441–460. 1 indexed citations

Pauly, Markus, et al.. (2024). Comparing Statistical and Machine Learning Methods for Time Series Forecasting in Data-Driven Logistics—A Simulation Study. Entropy. 27(1). 25–25. 6 indexed citations

Pauly, Markus, et al.. (2024). Testing against ordered alternatives in one-way ANOVA model with exponential errors. Annals of the Institute of Statistical Mathematics. 76(4). 649–678.

Pauly, Markus, et al.. (2024). The Self-Perception and Political Biases of ChatGPT. Human Behavior and Emerging Technologies. 2024. 1–9. 43 indexed citations breakdown →

Pauly, Markus, et al.. (2024). Human vs. Machines: Who wins in semiconductor market forecasting?. Expert Systems with Applications. 263. 125719–125719.

Pauly, Markus, et al.. (2023). The consequences of neglected confounding and interactions in mixed‐effects meta‐regression: An illustrative example. Research Synthesis Methods. 14(4). 647–651. 2 indexed citations

10.

Xu, Jin, et al.. (2023). A comparative study to alternatives to the log-rank test. Contemporary Clinical Trials. 128. 107165–107165. 7 indexed citations

11.

Pauly, Markus, et al.. (2023). Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs. Journal of Multivariate Analysis. 199. 105246–105246. 2 indexed citations

12.

Pauly, Markus, et al.. (2023). Testing hypotheses about correlation matrices in general MANOVA designs. Test. 33(2). 496–516. 1 indexed citations

13.

Wilker, Sarah, Vanja Vukojević, Anna Schneider, et al.. (2023). Epigenetics of traumatic stress: The association of NR3C1 methylation and posttraumatic stress disorder symptom changes in response to narrative exposure therapy. Translational Psychiatry. 13(1). 14–14. 21 indexed citations

14.

Pauly, Markus, et al.. (2021). Imputing missings in official statistics for general tasks – our vote for distributional accuracy. Statistical Journal of the IAOS. 37(4). 1379–1390. 6 indexed citations

15.

Pauly, Markus, et al.. (2020). Inferring median survival differences in general factorial designs via\n permutation tests. arXiv (Cornell University). 6 indexed citations

16.

Placzek, Marius, et al.. (2018). Wild bootstrapping rank-based procedures: Multiple testing in nonparametric factorial repeated measures designs. Journal of Multivariate Analysis. 171. 176–192. 15 indexed citations

17.

Konietschke, Frank, Arne C. Bathke, Solomon W. Harrar, & Markus Pauly. (2015). Parametric and nonparametric bootstrap methods for general MANOVA. Journal of Multivariate Analysis. 140. 291–301. 73 indexed citations

18.

Pauly, Markus & Thomas Schweizer. (2014). A Survey of M -Functionals of Multivariate Location and Scatter. arXiv (Cornell University). 1 indexed citations

19.

Beyersmann, Jan, et al.. (2012). Weak Convergence of the Wild Bootstrap for the Aalen–Johansen Estimator of the Cumulative Incidence Function of a Competing Risk. Scandinavian Journal of Statistics. 40(3). 387–402. 29 indexed citations

20.

Foster, Cliff E., et al.. (2010). Comprehensive Compositional Analysis of Plant Cell Walls (Lignocellulosic biomass) Part I: Lignin. Journal of Visualized Experiments. 81 indexed citations

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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