Gerold Alsmeyer
Impact in
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods
- Random Matrices and Applications
Papers in
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- Stochastic processes and statistical mechanics 44
- Mathematical Dynamics and Fractals 11
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- Markov Chains and Monte Carlo Methods 18
- Random Matrices and Applications 6
- Co-authors
- Alexander Iksanov (5 shared papers)Uwe Rösler (6 shared papers)Uwe Rösler (2 shared papers)Cheng–Der Fuh (1 shared paper)Albrecht Irle (4 shared papers)Markus Jaeger (1 shared paper)Ewa Damek (1 shared paper)Allan Gut (1 shared paper)
In The Last Decade
Gerold Alsmeyer
59 papers receiving 524 citations
Peers
Comparison fields: 5 of 59
- Mathematical Physics 393
- Statistics and Probability 176
- Finance 191
- Management Science and Operations Research 214
- Management Information Systems 44
Countries citing papers authored by Gerold Alsmeyer
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
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-authors
The 16 scholars most cited alongside Gerold Alsmeyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 54 | |
| 2 | 2008 | 40 | |
| 3 | 2011 | 35 | |
| 4 | 1996 | 34 | |
| 5 | 2002 | 32 | |
| 6 | 2009 | 26 | |
| 7 | 1991 | 25 | |
| 8 | 1992 | 23 | |
| 9 | Double martingale structure and existence of -moments for weighted branching processes | 2009 | 22 |
| 10 | 1991 | 19 | |
| 11 | 2003 | 16 | |
| 12 | 2006 | 15 | |
| 13 | 2011 | 15 | |
| 14 | 1996 | 13 | |
| 15 | 2001 | 13 | |
| 16 | 2016 | 13 | |
| 17 | 2013 | 11 | |
| 18 | 2013 | 10 | |
| 19 | 2003 | 9 | |
| 20 | 2004 | 9 |
About Gerold Alsmeyer
Gerold Alsmeyer is a scholar working on Mathematical Physics, Statistics and Probability, Finance, Management Science and Operations Research and Artificial Intelligence, having authored 69 papers that have together received 565 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (44 papers), Probability and Risk Models (23 papers), Stochastic processes and financial applications (20 papers), Markov Chains and Monte Carlo Methods (18 papers), Mathematical Dynamics and Fractals (11 papers), Bayesian Methods and Mixture Models (7 papers), Random Matrices and Applications (6 papers) and Financial Risk and Volatility Modeling (5 papers). The work is most often cited by research in Mathematical Physics (393 citations), Statistics and Probability (176 citations), Finance (191 citations), Management Science and Operations Research (214 citations) and Management Information Systems (44 citations). Gerold Alsmeyer has collaborated with scholars based in Germany, Ukraine and Sweden. Frequent co-authors include Alexander Iksanov, Uwe Rösler, Uwe Rösler, Cheng–Der Fuh, Albrecht Irle, Markus Jaeger, Ewa Damek, Allan Gut, Rodrigo Martínez and Bastien Mallein. Their work appears in journals such as Stochastic Processes and their Applications, Journal of Theoretical Probability, Journal of Applied Probability, The Annals of Applied Probability and Advances in Applied Probability.
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.