Peter Mörters
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 ⓘ
-
- Stochastic processes and statistical mechanics 46
- Mathematical Dynamics and Fractals 18
-
- Markov Chains and Monte Carlo Methods 8
- Co-authors
- Yuval Peres (1 shared paper)Steffen Dereich (8 shared papers)Wolfgang König (6 shared papers)Narn-Rueih Shieh (6 shared papers)Remco van der Hofstad (2 shared papers)David Preiss (1 shared paper)Christian Mönch (3 shared papers)Klaus Fleischmann (3 shared papers)
- Journals
- Probability Theory and Related Fields (5 papers)The Annals of Probability (5 papers)Stochastic Processes and their Applications (5 papers)Electronic Journal of Probability (5 papers)The Annals of Applied Probability (4 papers)
- Partner nations
- United KingdomGermanyTaiwan
In The Last Decade
Peter Mörters
61 papers receiving 616 citations
Peers
Comparison fields: 5 of 70
- Mathematical Physics 420
- Statistics and Probability 138
- Statistical and Nonlinear Physics 195
- Finance 109
- Condensed Matter Physics 118
Countries citing papers authored by Peter Mörters
This map shows the geographic impact of Peter Mörters'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 Peter Mörters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Mörters more than expected).
Fields of papers citing papers by Peter Mörters
This network shows the impact of papers produced by Peter Mörters. 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 Peter Mörters. The network helps show where Peter Mörters may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Mörters, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 125 | |
| 2 | 2015 | 40 | |
| 3 | 2009 | 39 | |
| 4 | 2009 | 32 | |
| 5 | 2013 | 31 | |
| 6 | 2002 | 28 | |
| 7 | 2006 | 25 | |
| 8 | 2009 | 22 | |
| 9 | 2002 | 18 | |
| 10 | 2004 | 18 | |
| 11 | 2005 | 17 | |
| 12 | 1998 | 16 | |
| 13 | 2019 | 14 | |
| 14 | 2008 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2010 | 11 | |
| 17 | 2017 | 11 | |
| 18 | 2012 | 10 | |
| 19 | 2007 | 10 | |
| 20 | 2012 | 10 |
About Peter Mörters
Peter Mörters is a scholar working on Mathematical Physics, Statistics and Probability, Condensed Matter Physics, Statistical and Nonlinear Physics and Finance, having authored 64 papers that have together received 651 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (46 papers), Mathematical Dynamics and Fractals (18 papers), Theoretical and Computational Physics (17 papers), Complex Network Analysis Techniques (13 papers), Stochastic processes and financial applications (11 papers), Markov Chains and Monte Carlo Methods (8 papers), Topological and Geometric Data Analysis (4 papers) and Opinion Dynamics and Social Influence (4 papers). The work is most often cited by research in Mathematical Physics (420 citations), Statistics and Probability (138 citations), Statistical and Nonlinear Physics (195 citations), Finance (109 citations) and Condensed Matter Physics (118 citations). Peter Mörters has collaborated with scholars based in United Kingdom, Germany and Taiwan. Frequent co-authors include Yuval Peres, Steffen Dereich, Wolfgang König, Narn-Rueih Shieh, Remco van der Hofstad, David Preiss, Christian Mönch, Klaus Fleischmann, Amir Dembo and Scott Sheffield⋆. Their work appears in journals such as Probability Theory and Related Fields, The Annals of Probability, Stochastic Processes and their Applications, Electronic Journal of Probability and The Annals of 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.