Örjan Stenflo
Impact in
- Mathematical Physics top 5%
- Mathematical Dynamics and Fractals
- Stochastic processes and statistical mechanics
- Statistics and Probability top 10%
- Markov Chains and Monte Carlo Methods
Papers in
-
- Mathematical Dynamics and Fractals 15
- Stochastic processes and statistical mechanics 4
- advanced mathematical theories 3
-
- Markov Chains and Monte Carlo Methods 5
- Co-authors
- Michael F. Barnsley (3 shared papers)John Hutchinson (2 shared papers)John W. Hutchinson (1 shared paper)Dmitrii Silvestrov (1 shared paper)Krishna B. Athreya (1 shared paper)Franklin Mendivil (2 shared papers)A. H. Dooley (1 shared paper)Maarit Järvenpää (1 shared paper)
In The Last Decade
Örjan Stenflo
15 papers receiving 201 citations
Peers
Comparison fields: 5 of 42
- Mathematical Physics 148
- Statistics and Probability 46
- Statistical and Nonlinear Physics 61
- Applied Mathematics 23
- Computational Theory and Mathematics 33
Countries citing papers authored by Örjan Stenflo
This map shows the geographic impact of Örjan Stenflo'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 Örjan Stenflo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Örjan Stenflo more than expected).
Fields of papers citing papers by Örjan Stenflo
This network shows the impact of papers produced by Örjan Stenflo. 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 Örjan Stenflo. The network helps show where Örjan Stenflo may publish in the future.
Co-authors
The 9 scholars most cited alongside Örjan Stenflo, 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 | 2008 | 50 | |
| 2 | 2005 | 36 | |
| 3 | Ergodic theorems for Markov chains represented by iterated function systems | 2001 | 29 |
| 4 | 2011 | 27 | |
| 5 | 2010 | 15 | |
| 6 | 2001 | 14 | |
| 7 | 2001 | 12 | |
| 8 | 1998 | 10 | |
| 9 | Perfect sampling for Doeblin chains | 2000 | 5 |
| 10 | 2012 | 4 | |
| 11 | 2005 | 4 | |
| 12 | 2015 | 2 | |
| 13 | 2008 | 2 | |
| 14 | 2006 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2024 | 0 |
About Örjan Stenflo
Örjan Stenflo is a scholar working on Mathematical Physics, Statistics and Probability, Applied Mathematics, Condensed Matter Physics and Geometry and Topology, having authored 16 papers that have together received 214 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (15 papers), Markov Chains and Monte Carlo Methods (5 papers), Functional Equations Stability Results (4 papers), Stochastic processes and statistical mechanics (4 papers), advanced mathematical theories (3 papers), Theoretical and Computational Physics (2 papers), Advanced Topology and Set Theory (2 papers) and Stochastic processes and financial applications (1 paper). The work is most often cited by research in Mathematical Physics (148 citations), Statistics and Probability (46 citations), Statistical and Nonlinear Physics (61 citations), Applied Mathematics (23 citations) and Computational Theory and Mathematics (33 citations). Örjan Stenflo has collaborated with scholars based in Sweden, Australia and Canada. Frequent co-authors include Michael F. Barnsley, John Hutchinson, John W. Hutchinson, Dmitrii Silvestrov, Krishna B. Athreya, Franklin Mendivil, A. H. Dooley, Maarit Järvenpää and Esa Järvenpää. Their work appears in journals such as Fractals, Nonlinearity, Mathematical Proceedings of the Cambridge Philosophical Society, Transactions of the American Mathematical Society and Journal of the London Mathematical Society.
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.