Jan Maas
Impact in
- Applied Mathematics top 2%
- Geometric Analysis and Curvature Flows
- Nonlinear Partial Differential Equations
- Point processes and geometric inequalities
- Mathematical Physics top 10%
Papers in
-
- Geometric Analysis and Curvature Flows 9
- Advanced Harmonic Analysis Research 5
- Nonlinear Partial Differential Equations 3
- Point processes and geometric inequalities 3
-
- Advanced Banach Space Theory 3
- Spectral Theory in Mathematical Physics 2
- Co-authors
- Eric A. Carlen (2 shared papers)Jan van Neerven (6 shared papers)Max Fathi (1 shared paper)Nicola Gigli (1 shared paper)Matthias Erbar (2 shared papers)Alexander Mielke (1 shared paper)D. R. Michiel Renger (1 shared paper)Martin Hairer (1 shared paper)
- Journals
- Journal of Functional Analysis (2 papers)SIAM Journal on Mathematical Analysis (2 papers)Journal of Statistical Physics (2 papers)The Annals of Probability (1 paper)Calculus of Variations and Partial Differential Equations (1 paper)
- Partner nations
- GermanyNetherlandsAustria
In The Last Decade
Jan Maas
20 papers receiving 334 citations
Peers
Comparison fields: 5 of 49
- Applied Mathematics 224
- Mathematical Physics 109
- Statistics and Probability 61
- Statistical and Nonlinear Physics 71
- Geometry and Topology 49
Countries citing papers authored by Jan Maas
This map shows the geographic impact of Jan Maas'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 Jan Maas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Maas more than expected).
Fields of papers citing papers by Jan Maas
This network shows the impact of papers produced by Jan Maas. 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 Jan Maas. The network helps show where Jan Maas may publish in the future.
Co-authors
The 12 scholars most cited alongside Jan Maas, 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 | 2011 | 141 | |
| 2 | 2014 | 55 | |
| 3 | 2016 | 22 | |
| 4 | 2013 | 21 | |
| 5 | 2015 | 17 | |
| 6 | 2020 | 14 | |
| 7 | 2011 | 12 | |
| 8 | 2009 | 10 | |
| 9 | 2012 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2009 | 8 | |
| 12 | 2007 | 8 | |
| 13 | 2008 | 7 | |
| 14 | 2008 | 7 | |
| 15 | 2022 | 5 | |
| 16 | 2013 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2011 | 4 | |
| 19 | Analysis of infinite dimensional diffusions | 2009 | 2 |
| 20 | 2020 | 1 |
About Jan Maas
Jan Maas is a scholar working on Applied Mathematics, Mathematical Physics, Finance, Geometry and Topology and Statistics and Probability, having authored 20 papers that have together received 362 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (9 papers), Stochastic processes and financial applications (7 papers), Advanced Harmonic Analysis Research (5 papers), Geometry and complex manifolds (5 papers), Nonlinear Partial Differential Equations (3 papers), Advanced Banach Space Theory (3 papers), Point processes and geometric inequalities (3 papers) and Spectral Theory in Mathematical Physics (2 papers). The work is most often cited by research in Applied Mathematics (224 citations), Mathematical Physics (109 citations), Statistics and Probability (61 citations), Statistical and Nonlinear Physics (71 citations) and Geometry and Topology (49 citations). Jan Maas has collaborated with scholars based in Germany, Netherlands and Austria. Frequent co-authors include Eric A. Carlen, Jan van Neerven, Max Fathi, Nicola Gigli, Matthias Erbar, Alexander Mielke, D. R. Michiel Renger, Martin Hairer, Pierre Portal and Sjoerd Dirksen. Their work appears in journals such as Journal of Functional Analysis, SIAM Journal on Mathematical Analysis, Journal of Statistical Physics, The Annals of Probability and Calculus of Variations and Partial Differential Equations.
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.