Gerold Alsmeyer

994 total citations
59 papers, 482 citations indexed

About

Gerold Alsmeyer is a scholar working on Mathematical Physics, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Gerold Alsmeyer has authored 59 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Mathematical Physics, 25 papers in Statistics and Probability and 20 papers in Management Science and Operations Research. Recurrent topics in Gerold Alsmeyer's work include Stochastic processes and statistical mechanics (39 papers), Probability and Risk Models (20 papers) and Stochastic processes and financial applications (16 papers). Gerold Alsmeyer is often cited by papers focused on Stochastic processes and statistical mechanics (39 papers), Probability and Risk Models (20 papers) and Stochastic processes and financial applications (16 papers). Gerold Alsmeyer collaborates with scholars based in Germany, Ukraine and Poland. Gerold Alsmeyer's co-authors include Alexander Iksanov, Uwe Rösler, Uwe Rösler, Cheng–Der Fuh, Albrecht Irle, Markus Jaeger, Bastien Mallein, Matthias Löwe, Allan Gut and Rodrigo Martínez and has published in prestigious journals such as Journal of Theoretical Biology, Journal of Computational and Applied Mathematics and The Annals of Probability.

In The Last Decade

Gerold Alsmeyer

51 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerold Alsmeyer Germany 14 346 196 172 162 89 59 482
A. V. Nagaev Poland 10 231 0.7× 262 1.3× 190 1.1× 144 0.9× 90 1.0× 53 486
A. A. Mogulskiĭ Russia 14 401 1.2× 276 1.4× 308 1.8× 207 1.3× 42 0.5× 68 628
Götz Kersting Germany 14 420 1.2× 152 0.8× 123 0.7× 223 1.4× 116 1.3× 50 564
Denis Denisov United Kingdom 9 208 0.6× 200 1.0× 114 0.7× 127 0.8× 57 0.6× 55 386
Ian Iscoe Canada 12 393 1.1× 77 0.4× 305 1.8× 127 0.8× 27 0.3× 29 576
Juan Carlos Pardo Mexico 16 329 1.0× 299 1.5× 387 2.3× 125 0.8× 15 0.2× 53 593
Harry Cohn Australia 12 267 0.8× 103 0.5× 82 0.5× 139 0.9× 93 1.0× 49 454
Uwe Rösler Germany 13 402 1.2× 105 0.5× 149 0.9× 184 1.1× 227 2.6× 39 656
Alexander Iksanov Ukraine 14 536 1.5× 205 1.0× 176 1.0× 235 1.5× 178 2.0× 93 655
L. Chaumont France 13 277 0.8× 158 0.8× 263 1.5× 90 0.6× 25 0.3× 32 463

Countries citing papers authored by Gerold Alsmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Gerold Alsmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerold Alsmeyer

This figure shows the co-authorship network connecting the top 25 collaborators of Gerold Alsmeyer. A scholar is included among the top collaborators of Gerold Alsmeyer 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 Gerold Alsmeyer. Gerold Alsmeyer 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.
Alsmeyer, Gerold & Bastien Mallein. (2022). A Simple Method to Find All Solutions to the Functional Equation of the Smoothing Transform. Journal of Theoretical Probability. 35(4). 2569–2599. 3 indexed citations
2.
Alsmeyer, Gerold, et al.. (2016). Functional limit theorems for the number of occupied boxes in the Bernoulli sieve. Stochastic Processes and their Applications. 127(3). 995–1017. 13 indexed citations
3.
Alsmeyer, Gerold, et al.. (2015). Branching within branching: A model for host–parasite co-evolution. Stochastic Processes and their Applications. 126(6). 1839–1883. 2 indexed citations
4.
Alsmeyer, Gerold. (2015). On the stationary tail index of iterated random Lipschitz functions. Stochastic Processes and their Applications. 126(1). 209–233. 5 indexed citations
5.
Alsmeyer, Gerold. (2014). Quasistochastic matrices and Markov renewal theory. Journal of Applied Probability. 51(A). 359–376. 5 indexed citations
6.
Alsmeyer, Gerold, et al.. (2013). A Host-Parasite Model for a Two-Type Cell Population. Advances in Applied Probability. 45(3). 719–741. 3 indexed citations
7.
Alsmeyer, Gerold, et al.. (2011). Limiting genotype frequencies of Y-linked genes through bisexual branching processes with blind choice. Journal of Theoretical Biology. 275(1). 42–51. 4 indexed citations
8.
Alsmeyer, Gerold & Uwe Rösler. (2008). A stochastic fixed point equation for weighted minima and maxima. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 44(1). 7 indexed citations
9.
Alsmeyer, Gerold & Albrecht Irle. (2005). Runs in superpositions of renewal processes with applications to discrimination. Journal of Computational and Applied Mathematics. 186(1). 283–299. 1 indexed citations
10.
Alsmeyer, Gerold & Cheng–Der Fuh. (2001). Limit theorems for iterated random functions by regenerative methods. Stochastic Processes and their Applications. 96(1). 123–142. 13 indexed citations
11.
Alsmeyer, Gerold. (2001). Two comparison theorems for nonlinear first passage times and their linear counterparts. Statistics & Probability Letters. 55(2). 163–171. 1 indexed citations
12.
Alsmeyer, Gerold, et al.. (1999). ON THE TAIL BEHAVIOUR OF THE SUPREMUM OF A RANDOM WALK DEFINED ON A MARKOV CHAIN. The Yokohama mathematical journal = 横濱市立大學紀要. D部門, 数学. 46(2). 139–159. 4 indexed citations
13.
Alsmeyer, Gerold. (1996). Superposed continuous renewal processes A Markov renewal approach. Stochastic Processes and their Applications. 61(2). 311–322. 13 indexed citations
14.
Alsmeyer, Gerold. (1996). Nonnegativity of odd functional moments of positive random variables with decreasing density. Statistics & Probability Letters. 26(1). 75–82. 2 indexed citations
15.
Alsmeyer, Gerold. (1994). RANDOM WALKS WITH STOCHASTICALLY BOUNDED INCREMENTS: RENEWAL THEORY VIA FOURIER ANALYSIS. The Yokohama mathematical journal = 横濱市立大學紀要. D部門, 数学. 42(1). 1–21. 2 indexed citations
16.
Alsmeyer, Gerold. (1994). On the Markov renewal theorem. Stochastic Processes and their Applications. 50(1). 37–56. 52 indexed citations
17.
Alsmeyer, Gerold. (1991). Complete answer to an interval splitting problem. Statistics & Probability Letters. 12(4). 285–287. 1 indexed citations
18.
Alsmeyer, Gerold. (1990). Convergence rates in the law of large numbers for martingales. Stochastic Processes and their Applications. 36(2). 181–194. 6 indexed citations
19.
Alsmeyer, Gerold & Albrecht Irle. (1989). Optimal strategies for discovering new species in continuous time. Journal of Applied Probability. 26(4). 695–706. 2 indexed citations
20.
Alsmeyer, Gerold & Albrecht Irle. (1986). Asymptotic expansions for the variance of stopping times in nonlinear renewal theory. Stochastic Processes and their Applications. 23(2). 235–258. 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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