Adrian Röllin
- Statistics and Probability top 2%
- Mathematical Physics top 5%
- Artificial Intelligence
- Applied Mathematics top 10%
- Discrete Mathematics and Combinatorics top 10%
- Co-authors
- Gesine ReinertNathan RossThorsten WohlandA. D. BarbourJagadish SankaranXue Wen NgLouis H. Y. ChenErol A. Peköz
- Topics
- Random Matrices and Applications (14 papers)Stochastic processes and statistical mechanics (9 papers)Bayesian Methods and Mixture Models (6 papers)
- Partner nations
- SingaporeUnited KingdomSwitzerland
In The Last Decade
Adrian Röllin
25 papers receiving 292 citations
Peers
Comparison fields: 5 of 63
- Statistics and Probability 184
- Mathematical Physics 123
- Artificial Intelligence 68
- Applied Mathematics 55
- Discrete Mathematics and Combinatorics 42
Countries citing papers authored by Adrian Röllin
This map shows the geographic impact of Adrian Röllin'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 Adrian Röllin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Röllin more than expected).
Fields of papers citing papers by Adrian Röllin
This network shows the impact of papers produced by Adrian Röllin. 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 Adrian Röllin. The network helps show where Adrian Röllin may publish in the future.
Co-authorship network of co-authors of Adrian Röllin
This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Röllin. A scholar is included among the top collaborators of Adrian Röllin 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 Adrian Röllin. Adrian Röllin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 33 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 13 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | A probabilistic approach to local limit theorems with applications to random graphs | 1 |
| 14 | Total variation and local limit error bounds for geometric approximation | 1 |
| 15 | 10 | |
| 16 | 73 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 17 | |
| 20 | 34 |
About Adrian Röllin
Adrian Röllin is a scholar working on Statistics and Probability, Discrete Mathematics and Combinatorics and Mathematical Physics, having authored 25 papers that have together received 309 indexed citations. Recurring topics across this work include Random Matrices and Applications (14 papers), Stochastic processes and statistical mechanics (9 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Statistics and Probability (184 citations), Mathematical Physics (123 citations) and Discrete Mathematics and Combinatorics (42 citations). Adrian Röllin has collaborated with scholars based in Singapore, United Kingdom and Switzerland. Frequent co-authors include Gesine Reinert, Nathan Ross, Thorsten Wohland, A. D. Barbour, Jagadish Sankaran, Xue Wen Ng, Louis H. Y. Chen, Erol A. Peköz, Susan Holmes and Aihua Xia. Their work appears in journals such as Nature Communications, Biophysical Journal and Developmental Cell.
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.