Silke W. W. Rolles
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics 15
- Mathematical Dynamics and Fractals 6
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods 16
- Random Matrices and Applications 4
- Statistical Methods and Inference 2
-
- Theoretical and Computational Physics 5
-
- Bayesian Methods and Mixture Models 3
-
- Topological and Geometric Data Analysis 3
- Co-authors
- Franz MerklPersi DiaconisHeinrich MatzingerMatthias LöweThomas M. LiggettMichaël KeaneMargherita DisertoriPeter Eichelsbacher
- Journals
- Probability Theory and Related Fields (6 papers)Electronic Journal of Probability (3 papers)Stochastic Processes and their Applications (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Silke W. W. Rolles
26 papers receiving 201 citations
Peers
Comparison fields: 5 of 42
- Mathematical Physics 130
- Statistics and Probability 111
- Discrete Mathematics and Combinatorics 10
- Condensed Matter Physics 29
- Statistical and Nonlinear Physics 30
Countries citing papers authored by Silke W. W. Rolles
This map shows the geographic impact of Silke W. W. Rolles'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 Silke W. W. Rolles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silke W. W. Rolles more than expected).
Fields of papers citing papers by Silke W. W. Rolles
This network shows the impact of papers produced by Silke W. W. Rolles. 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 Silke W. W. Rolles. The network helps show where Silke W. W. Rolles may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Silke W. W. Rolles, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 0 | |
| 2 | 2018 | 2 | |
| 3 | 2014 | 4 | |
| 4 | 2014 | 1 | |
| 5 | 2013 | 8 | |
| 6 | 2009 | 14 | |
| 7 | 2008 | 5 | |
| 8 | 2008 | 9 | |
| 9 | 2006 | 3 | |
| 10 | Bounding a Random Environment for Two-dimensional Edge-reinforced Random Walk | 2006 | 5 |
| 11 | 2006 | 42 | |
| 12 | 2005 | 4 | |
| 13 | 2005 | 9 | |
| 14 | 2004 | 9 | |
| 15 | 2003 | 10 | |
| 16 | 2003 | 17 | |
| 17 | 2003 | 12 | |
| 18 | 2002 | 15 | |
| 19 | 2002 | 8 | |
| 20 | Moderate deviations for longest increasing subsequences : the lower tail | 2000 | 2 |
About Silke W. W. Rolles
Silke W. W. Rolles is a scholar working on Statistics and Probability, Mathematical Physics and Condensed Matter Physics, having authored 28 papers that have together received 219 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (16 papers), Stochastic processes and statistical mechanics (15 papers), Mathematical Dynamics and Fractals (6 papers), Theoretical and Computational Physics (5 papers), Random Matrices and Applications (4 papers), Bayesian Methods and Mixture Models (3 papers), Topological and Geometric Data Analysis (3 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Mathematical Physics (130 citations), Statistics and Probability (111 citations) and Discrete Mathematics and Combinatorics (10 citations). Silke W. W. Rolles has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Franz Merkl, Persi Diaconis, Heinrich Matzinger, Matthias Löwe, Thomas M. Liggett, Michaël Keane, Margherita Disertori, Peter Eichelsbacher, Markus Heydenreich and Roland Bauerschmidt. Their work appears in journals such as Probability Theory and Related Fields, Electronic Journal of Probability, Stochastic Processes and their Applications, The Annals of Probability and Electronic Communications in 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.