Esa Järvenpää
- Mathematical Physics top 5%
- Mathematical Dynamics and Fractals 27
- Stochastic processes and statistical mechanics 6
- Geometry and Topology top 5%
- Advanced Topology and Set Theory 13
- Applied Mathematics top 5%
- Geometric Analysis and Curvature Flows 4
- Functional Equations Stability Results 3
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- Theoretical and Computational Physics 4
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- Topological and Geometric Data Analysis 5
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- Digital Image Processing Techniques 3
- Co-authors
- Maarit JärvenpääMirko Degli EspostiNageswari ShanmugalingamA. KupiainenStefano IsolaAntti KäenmäkiViviane BaladiTapio Rajala
- Journals
- Communications in Mathematical Physics (2 papers)Advances in Mathematics (1 paper)Proceedings of the American Mathematical Society (2 papers)
- Partner nations
- FinlandHungaryUnited Kingdom
In The Last Decade
Esa Järvenpää
28 papers receiving 175 citations
Peers
Comparison fields: 5 of 21
- Mathematical Physics 152
- Geometry and Topology 69
- Applied Mathematics 70
- Condensed Matter Physics 30
- Computational Theory and Mathematics 37
Countries citing papers authored by Esa Järvenpää
This map shows the geographic impact of Esa Järvenpää'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 Esa Järvenpää with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esa Järvenpää more than expected).
Fields of papers citing papers by Esa Järvenpää
This network shows the impact of papers produced by Esa Järvenpää. 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 Esa Järvenpää. The network helps show where Esa Järvenpää may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Esa Järvenpää, 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 | 2024 | 0 | |
| 2 | Fractal percolation is unrectifiable | 2021 | 1 |
| 3 | 2021 | 1 | |
| 4 | 2020 | 2 | |
| 5 | 2019 | 2 | |
| 6 | Hausdorff dimension of limsup sets of random rectangles in products of regular spaces | 2018 | 6 |
| 7 | Random affine code tree fractals:Hausdorff and affinity dimensions and pressure | 2017 | 3 |
| 8 | 2012 | 9 | |
| 9 | 2012 | 3 | |
| 10 | 2011 | 1 | |
| 11 | 2009 | 15 | |
| 12 | 2008 | 10 | |
| 13 | 2005 | 7 | |
| 14 | 2005 | 4 | |
| 15 | 2005 | 4 | |
| 16 | 2004 | 5 | |
| 17 | 2003 | 7 | |
| 18 | 2001 | 9 | |
| 19 | 1999 | 2 | |
| 20 | 1998 | 19 |
About Esa Järvenpää
Esa Järvenpää is a scholar working on Mathematical Physics, Geometry and Topology and Applied Mathematics, having authored 29 papers that have together received 200 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (27 papers), Advanced Topology and Set Theory (13 papers), Stochastic processes and statistical mechanics (6 papers), Topological and Geometric Data Analysis (5 papers), Geometric Analysis and Curvature Flows (4 papers), Theoretical and Computational Physics (4 papers), Functional Equations Stability Results (3 papers) and Digital Image Processing Techniques (3 papers). The work is most often cited by research in Mathematical Physics (152 citations), Geometry and Topology (69 citations) and Applied Mathematics (70 citations). Esa Järvenpää has collaborated with scholars based in Finland, Hungary and United Kingdom. Frequent co-authors include Maarit Järvenpää, Mirko Degli Esposti, Nageswari Shanmugalingam, A. Kupiainen, Stefano Isola, Antti Käenmäki, Viviane Baladi, Tapio Rajala, F. Ledrappier and De‐Jun Feng. Their work appears in journals such as Communications in Mathematical Physics, Advances in Mathematics and Proceedings of the American 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.