Rainer Dyckerhoff

426 total citations
13 papers, 175 citations indexed

About

Rainer Dyckerhoff is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Rainer Dyckerhoff has authored 13 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 4 papers in Statistics, Probability and Uncertainty and 3 papers in Management Science and Operations Research. Recurrent topics in Rainer Dyckerhoff's work include Advanced Statistical Methods and Models (9 papers), Statistical Methods and Inference (4 papers) and Advanced Statistical Process Monitoring (3 papers). Rainer Dyckerhoff is often cited by papers focused on Advanced Statistical Methods and Models (9 papers), Statistical Methods and Inference (4 papers) and Advanced Statistical Process Monitoring (3 papers). Rainer Dyckerhoff collaborates with scholars based in Germany, Czechia and France. Rainer Dyckerhoff's co-authors include Pavlo Mozharovskyi, Karl Mosler, Davy Paindaveine, Christophe Ley and Oliver Grothe and has published in prestigious journals such as Journal of Statistical Software, Computational Statistics & Data Analysis and Water.

In The Last Decade

Rainer Dyckerhoff

12 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rainer Dyckerhoff Germany	8	118	67	38	21	15	13	175
A. W. Bowman United Kingdom	5	206 1.7×	32 0.5×	30 0.8×	44 2.1×	47 3.1×	7	302
V. M. Joshi United States	8	168 1.4×	44 0.7×	31 0.8×	53 2.5×	13 0.9×	31	226
Kadir Karakaya Türkiye	11	172 1.5×	90 1.3×	54 1.4×	35 1.7×	23 1.5×	51	304
Jan F. Bjørnstad Norway	7	136 1.2×	46 0.7×	33 0.9×	35 1.7×	20 1.3×	15	216
Hammou El Barmi United States	9	204 1.7×	23 0.3×	37 1.0×	86 4.1×	21 1.4×	43	270
Alessandro Barbiero Italy	10	183 1.6×	72 1.1×	42 1.1×	63 3.0×	7 0.5×	46	267
Cécile Durot France	9	191 1.6×	34 0.5×	10 0.3×	57 2.7×	12 0.8×	26	218
Özlem Gürünlü Alma Türkiye	7	75 0.6×	48 0.7×	17 0.4×	17 0.8×	12 0.8×	17	164
Naif Alotaibi Saudi Arabia	14	309 2.6×	178 2.7×	53 1.4×	47 2.2×	9 0.6×	47	449

Countries citing papers authored by Rainer Dyckerhoff

Since Specialization

Citations

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

Fields of papers citing papers by Rainer Dyckerhoff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Dyckerhoff

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

All Works

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13 of 13 papers shown

Dyckerhoff, Rainer, et al.. (2025). Exact computation of angular halfspace depth. Statistics and Computing. 35(6).

Mozharovskyi, Pavlo, et al.. (2020). Depth-Based Classification and Calculation of Data Depth [R package ddalpha version 1.3.11]. 1 indexed citations

Mozharovskyi, Pavlo, et al.. (2019). Depth and Depth-Based Classification with R Package ddalpha. Journal of Statistical Software. 91(5). 18 indexed citations

Dyckerhoff, Rainer, et al.. (2018). Nonparametric estimation of multivariate quantiles. Environmetrics. 29(2). 7 indexed citations

Dyckerhoff, Rainer, et al.. (2018). Confidence Regions for Multivariate Quantiles. Water. 10(8). 996–996. 2 indexed citations

Dyckerhoff, Rainer & Pavlo Mozharovskyi. (2015). Exact computation of the halfspace depth. Computational Statistics & Data Analysis. 98. 19–30. 39 indexed citations

Dyckerhoff, Rainer, Christophe Ley, & Davy Paindaveine. (2014). Depth-based runs tests for bivariate central symmetry. Annals of the Institute of Statistical Mathematics. 67(5). 917–941. 19 indexed citations

Dyckerhoff, Rainer & Karl Mosler. (2011). Weighted-mean regions of a probability distribution. Statistics & Probability Letters. 82(2). 318–325. 5 indexed citations

Dyckerhoff, Rainer & Karl Mosler. (2010). Weighted-mean trimming of multivariate data. Journal of Multivariate Analysis. 102(3). 405–421. 18 indexed citations

10.

Dyckerhoff, Rainer. (2004). Data depths satisfying the projection property. 88(2). 163–190. 36 indexed citations

11.

Dyckerhoff, Rainer & Karl Mosler. (1997). Orthant orderings of discrete random vectors. Journal of Statistical Planning and Inference. 62(2). 193–205. 15 indexed citations

12.

Dyckerhoff, Rainer. (1994). Decomposition of multivariate utility functions in non‐additive expected utility theory. Journal of Multi-Criteria Decision Analysis. 3(1). 41–58. 12 indexed citations

13.

Dyckerhoff, Rainer & Karl Mosler. (1993). Stochastic dominance with nonadditive probabilities. Mathematical Methods of Operations Research. 37(3). 231–256. 3 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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