Herold Dehling

2.9k total citations
85 papers, 1.6k citations indexed

About

Herold Dehling is a scholar working on Statistics and Probability, Finance and Mathematical Physics. According to data from OpenAlex, Herold Dehling has authored 85 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistics and Probability, 24 papers in Finance and 23 papers in Mathematical Physics. Recurrent topics in Herold Dehling's work include Statistical Methods and Inference (21 papers), Financial Risk and Volatility Modeling (18 papers) and Bayesian Methods and Mixture Models (17 papers). Herold Dehling is often cited by papers focused on Statistical Methods and Inference (21 papers), Financial Risk and Volatility Modeling (18 papers) and Bayesian Methods and Mixture Models (17 papers). Herold Dehling collaborates with scholars based in Germany, United States and Netherlands. Herold Dehling's co-authors include Murad S. Taqqu, Robert Burton, Walter Philipp, Svetlana Borovkova, I. Berkés, Dominik Wied, Martin Wendler, Alex C. Hoffmann, Thomas Mikosch and Walter Krämer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Chemical Engineering Science.

In The Last Decade

Herold Dehling

83 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Herold Dehling Germany 23 794 670 378 354 289 85 1.6k
Tailen Hsing United States 22 1.0k 1.3× 1.1k 1.7× 333 0.9× 290 0.8× 417 1.4× 61 2.3k
Emmanuel Rio France 20 492 0.6× 732 1.1× 408 1.1× 301 0.9× 128 0.4× 50 1.4k
Daren B. H. Cline United States 17 521 0.7× 425 0.6× 251 0.7× 580 1.6× 170 0.6× 63 1.5k
Sidney I. Resnick United States 18 773 1.0× 447 0.7× 211 0.6× 210 0.6× 385 1.3× 42 1.5k
Denis Bosq France 14 775 1.0× 1.4k 2.1× 185 0.5× 256 0.7× 411 1.4× 63 2.4k
Kai Wang Ng Hong Kong 20 644 0.8× 982 1.5× 210 0.6× 839 2.4× 241 0.8× 64 2.0k
Jordan Stoyanov United Kingdom 16 558 0.7× 340 0.5× 133 0.4× 173 0.5× 317 1.1× 63 1.3k
Nakahiro Yoshida Japan 23 1.3k 1.7× 659 1.0× 267 0.7× 146 0.4× 297 1.0× 72 1.6k
Emmanuel Gobet France 22 1.4k 1.7× 298 0.4× 201 0.5× 229 0.6× 173 0.6× 101 1.8k
Jan Seidler Czechia 14 1.3k 1.6× 190 0.3× 386 1.0× 219 0.6× 415 1.4× 29 2.0k

Countries citing papers authored by Herold Dehling

Since Specialization
Citations

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

Fields of papers citing papers by Herold Dehling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Herold Dehling

This figure shows the co-authorship network connecting the top 25 collaborators of Herold Dehling. A scholar is included among the top collaborators of Herold Dehling 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 Herold Dehling. Herold Dehling 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
1.
Fried, Roland, et al.. (2021). An asymptotic test for constancy of the variance under short-range dependence. The Annals of Statistics. 49(6). 7 indexed citations
2.
Dehling, Herold, et al.. (2020). Convergence of the empirical two-sample $U$-statistics with $\beta$-mixing data. arXiv (Cornell University). 1 indexed citations
3.
Wied, Dominik, et al.. (2013). A fluctuation test for constant Spearman’s rho with nuisance-free limit distribution. Computational Statistics & Data Analysis. 76. 723–736. 14 indexed citations
4.
Dehling, Herold, Daniel Vogel, Martin Wendler, & Dominik Wied. (2012). An efficient and robust test for a change-point in correlation. arXiv (Cornell University). 5 indexed citations
5.
Dehling, Herold, et al.. (2011). Empirical processes of multidimensional systems with multiple mixing properties. Stochastic Processes and their Applications. 121(5). 1076–1096. 5 indexed citations
6.
Dehling, Herold & Roland Fried. (2011). Asymptotic distribution of two-sample empiricalU-quantiles with applications to robust tests for shifts in location. Journal of Multivariate Analysis. 105(1). 124–140. 9 indexed citations
7.
Dehling, Herold & Martin Wendler. (2009). Central limit theorem and the bootstrap for U-statistics of strongly mixing data. Journal of Multivariate Analysis. 101(1). 126–137. 43 indexed citations
8.
Dehling, Herold, et al.. (2009). New techniques for empirical processes of dependent data. Stochastic Processes and their Applications. 119(10). 3699–3718. 17 indexed citations
9.
Dehling, Herold, et al.. (2008). Multiphase stochastic model for fluidized beds. Physical Review E. 77(3). 31306–31306. 2 indexed citations
10.
Dehling, Herold, et al.. (2007). The sequential frequency assignment process. International Conference on Applied Mathematics. 280–285. 2 indexed citations
11.
Dehling, Herold, et al.. (2002). Empirical Process Techniques for Dependent Data. Birkhäuser Boston eBooks. 119 indexed citations
12.
Dehling, Herold. (1998). Daniel Bernoulli and the St. Petersburg paradox. Data Archiving and Networked Services (DANS). 223–227. 5 indexed citations
13.
Borovkov, Konstantin, Dietmar Pfeifer, & Herold Dehling. (1996). On Asymptotic Behavior of Weighted Sample Quantiles. Mathematical Methods of Statistics. 5. 2 indexed citations
14.
Dehling, Herold & Thomas Mikosch. (1994). Random Quadratic Forms and the Bootstrap for U-Statistics. Journal of Multivariate Analysis. 51(2). 392–413. 44 indexed citations
15.
Dehling, Herold, Manfred Denker, & Wojbor A. Woyczyński. (1990). Resampling U-statistics using p-stable laws. Journal of Multivariate Analysis. 34(1). 1–13. 7 indexed citations
16.
Dehling, Herold. (1989). The functional law of the iterated logarithm for von Mises functionals and multiple Wiener integrals. Journal of Multivariate Analysis. 28(2). 177–189. 7 indexed citations
17.
Dehling, Herold, Manfred Denker, & Walter Philipp. (1987). The almost sure invariance principle for the empirical process of U-statistic structure. French digital mathematics library (Numdam). 23(2). 121–134. 31 indexed citations
18.
Burton, Robert, et al.. (1986). An invariance principle for weakly associated random vectors. Stochastic Processes and their Applications. 23(2). 301–306. 49 indexed citations
19.
Dehling, Herold, Manfred Denker, & Walter Philipp. (1984). Versik Processes and Very Weak Bernoulli Processes with Summable Rates are Independent. Proceedings of the American Mathematical Society. 91(4). 618–618. 3 indexed citations
20.
Dehling, Herold, Manfred Denker, & Walter Philipp. (1984). Versik processes and very weak Bernoulli processes with summable rates are independent. Proceedings of the American Mathematical Society. 91(4). 618–624. 5 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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