Jan Maas

854 citations
21 papers · 379 · h-index 10

Impact in

Papers in

    • Geometric Analysis and Curvature Flows 9
    • Advanced Harmonic Analysis Research 6
    • Point processes and geometric inequalities 3
    • Nonlinear Partial Differential Equations 3
    • Advanced Banach Space Theory 3

Jan Maas

21 papers receiving 352 citations

Peers

Jan Maas
Comparison fields: 5 of 48
  • Applied Mathematics 231
  • Mathematical Physics 117
  • Statistics and Probability 64
  • Statistical and Nonlinear Physics 72
  • Geometry and Topology 50
Replace Christian Léonard with:
Christian Léonard France
Max‐K. von Renesse Germany
Nathaël Gozlan France
Jin Feng United States
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O. G. Smolyanov Russia
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Citations per year

Countries citing papers authored by Jan Maas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jan Maas Line = papers co-authored together Jan Maas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011142
2 201456
3 201624
4 201321
5 201518
6 202013
7 201212
8 201112
9 200911
10 202211
11 20078
12 20098
13 20087
14 20087
15
0 WHITNEY COVERINGS AND THE TENT SPACES T 1,q(γ) FOR THE GAUSSIAN MEASURE
20166
16 20236
17 20225
18 20135
19 20114
20
Analysis of infinite dimensional diffusions
20092

About Jan Maas

Jan Maas is a scholar working on Applied Mathematics, Mathematical Physics, Finance, Geometry and Topology and Statistics and Probability, having authored 21 papers that have together received 379 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 (6 papers), Geometry and complex manifolds (5 papers), Point processes and geometric inequalities (3 papers), Nonlinear Partial Differential Equations (3 papers), Advanced Banach Space Theory (3 papers) and Markov Chains and Monte Carlo Methods (2 papers). The work is most often cited by research in Applied Mathematics (231 citations), Mathematical Physics (117 citations), Statistics and Probability (64 citations), Statistical and Nonlinear Physics (72 citations) and Geometry and Topology (50 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, Martin Hairer, Pierre Portal, D. R. Michiel Renger and Philippe Clément. Their work appears in journals such as Journal of Statistical Physics, SIAM Journal on Mathematical Analysis, Journal of Functional Analysis, Infinite Dimensional Analysis Quantum Probability and Related Topics and The Annals of 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.

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