Erich Haeusler

938 total citations
23 papers, 566 citations indexed

About

Erich Haeusler is a scholar working on Finance, Management Science and Operations Research and Mathematical Physics. According to data from OpenAlex, Erich Haeusler has authored 23 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Finance, 13 papers in Management Science and Operations Research and 8 papers in Mathematical Physics. Recurrent topics in Erich Haeusler's work include Probability and Risk Models (13 papers), Financial Risk and Volatility Modeling (10 papers) and Stochastic processes and statistical mechanics (7 papers). Erich Haeusler is often cited by papers focused on Probability and Risk Models (13 papers), Financial Risk and Volatility Modeling (10 papers) and Stochastic processes and statistical mechanics (7 papers). Erich Haeusler collaborates with scholars based in Germany, United States and Netherlands. Erich Haeusler's co-authors include J. L. Teugels, David M. Mason, Sándor Csörgő, Ion Grama, Paul Deheuvels, Johan Segers, David M. Mason, Tatyana S. Turova and J.H.J. Einmahl and has published in prestigious journals such as The Annals of Statistics, Journal of Computational and Applied Mathematics and The Annals of Probability.

In The Last Decade

Erich Haeusler

23 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erich Haeusler Germany 12 368 256 209 146 87 23 566
Yongcheng Qi United States 17 344 0.9× 446 1.7× 211 1.0× 178 1.2× 149 1.7× 77 749
Yu. A. Davydov France 8 388 1.1× 256 1.0× 113 0.5× 212 1.5× 93 1.1× 23 680
Bojan Basrak Croatia 9 450 1.2× 135 0.5× 139 0.7× 158 1.1× 74 0.9× 23 581
José Juan Quesada-Molina Spain 15 360 1.0× 252 1.0× 215 1.0× 40 0.3× 70 0.8× 33 592
Alfredas Račkauskas Lithuania 12 204 0.6× 153 0.6× 147 0.7× 140 1.0× 75 0.9× 70 419
Marek Kanter United States 11 191 0.5× 195 0.8× 72 0.3× 91 0.6× 69 0.8× 38 489
Alexander Lindner Germany 15 453 1.2× 152 0.6× 123 0.6× 138 0.9× 35 0.4× 47 657
Masayuki Uchida Japan 16 405 1.1× 319 1.2× 56 0.3× 106 0.7× 139 1.6× 40 598
Vladimir Piterbarg United Kingdom 12 754 2.0× 66 0.3× 116 0.6× 118 0.8× 26 0.3× 36 888
Robert Stelzer Germany 14 453 1.2× 131 0.5× 86 0.4× 66 0.5× 39 0.4× 33 557

Countries citing papers authored by Erich Haeusler

Since Specialization
Citations

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

Fields of papers citing papers by Erich Haeusler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erich Haeusler

This figure shows the co-authorship network connecting the top 25 collaborators of Erich Haeusler. A scholar is included among the top collaborators of Erich Haeusler 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 Erich Haeusler. Erich Haeusler 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.
Haeusler, Erich & Johan Segers. (2007). Assessing confidence intervals for the tail index by Edgeworth expansions for the Hill estimator. Bernoulli. 13(1). 8 indexed citations
2.
Grama, Ion & Erich Haeusler. (2006). An Asymptotic Expansion for Probabilities of Moderate Deviations for Multivariate Martingales. Journal of Theoretical Probability. 19(1). 1–44. 21 indexed citations
3.
Haeusler, Erich, et al.. (2005). Empirical processes with estimated parameters under auxiliary information. Journal of Computational and Applied Mathematics. 186(1). 191–216. 8 indexed citations
4.
Segers, Johan, et al.. (2003). Edgeworth Expansions for the Distribution Function of the Hill Estimator. SSRN Electronic Journal. 3 indexed citations
5.
Grama, Ion & Erich Haeusler. (2000). Large deviations for martingales via Cramér's method. Stochastic Processes and their Applications. 85(2). 279–293. 29 indexed citations
6.
Haeusler, Erich, David M. Mason, & Tatyana S. Turova. (2000). A Study of Serial Ranks via Random Graphs. Bernoulli. 6(3). 541–541. 2 indexed citations
7.
Haeusler, Erich, et al.. (1991). Weighted bootstrapping of means. Data Archiving and Networked Services (DANS). 4(3). 213–228. 16 indexed citations
8.
Csörgő, Sándor, Erich Haeusler, & David M. Mason. (1991). The Asymptotic Distribution of Extreme Sums. The Annals of Probability. 19(2). 13 indexed citations
9.
Csörgő, Sándor, Erich Haeusler, & David M. Mason. (1988). A probabilistic approach to the asymptotic distribution of sums of independent, identically distributed random variables. Advances in Applied Mathematics. 9(3). 259–333. 49 indexed citations
10.
Haeusler, Erich. (1988). On the Rate of Convergence in the Central Limit Theorem for Martingales with Discrete and Continuous Time. The Annals of Probability. 16(1). 54 indexed citations
11.
Haeusler, Erich, et al.. (1988). A Nonuniform Bound on the Rate of Convergence in the Martingale Central Limit Theorem. The Annals of Probability. 16(4). 18 indexed citations
12.
Einmahl, J.H.J., Erich Haeusler, & David M. Mason. (1988). On the relationship between the almost sure stability of weighted empirical distributions and sums of order statistics. Probability Theory and Related Fields. 79(1). 59–74. 3 indexed citations
13.
Csörgő, Sándor, Erich Haeusler, & David M. Mason. (1988). The Asymptotic Distribution of Trimmed Sums. The Annals of Probability. 16(2). 36 indexed citations
14.
Deheuvels, Paul, Erich Haeusler, & David M. Mason. (1988). Almost sure convergence of the Hill estimator. Mathematical Proceedings of the Cambridge Philosophical Society. 104(2). 371–381. 69 indexed citations
15.
Haeusler, Erich & David M. Mason. (1987). A Law of the Iterated Logarithm for Sums of Extreme Values from a Distribution with a Regularly Varying Upper Tail. The Annals of Probability. 15(3). 4 indexed citations
16.
Haeusler, Erich & David M. Mason. (1987). Laws of the iterated logarithm for sums of the middle portion of the sample. Mathematical Proceedings of the Cambridge Philosophical Society. 101(2). 301–312. 11 indexed citations
17.
Haeusler, Erich & J. L. Teugels. (1985). On Asymptotic Normality of Hill's Estimator for the Exponent of Regular Variation. The Annals of Statistics. 13(2). 155 indexed citations
18.
Haeusler, Erich, et al.. (1985). A characterization of order statistic point processes that are mixed Poisson processes and mixed sample processes simultaneously. Journal of Applied Probability. 22(2). 314–323. 10 indexed citations
19.
Haeusler, Erich. (1984). On the rate of convergence in the invariance principle for real-valued functions of Doeblin processes. Journal of Multivariate Analysis. 15(1). 73–90. 1 indexed citations
20.
Haeusler, Erich. (1984). A Note on the Rate of Convergence in the Martingale Central Limit Theorem. The Annals of Probability. 12(2). 10 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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