Mathias Beiglböck

1.6k citations
46 papers · 582 · h-index 14

Impact in

  • Finance top 5%
    • Stochastic processes and financial applications
    • Geometric Analysis and Curvature Flows
    • Point processes and geometric inequalities

Papers in

    • Geometric Analysis and Curvature Flows 12
    • Point processes and geometric inequalities 11
    • Nonlinear Partial Differential Equations 6
    • Stochastic processes and financial applications 18

Mathias Beiglböck

44 papers receiving 540 citations

Peers

Mathias Beiglböck
Comparison fields: 5 of 58
  • Finance 218
  • Applied Mathematics 204
  • Discrete Mathematics and Combinatorics 61
  • Geometry and Topology 144
  • Mathematical Physics 138
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V. Tarieladze Georgia
A. Maitra United States
Christoph Thäle Germany
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Citations per field
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Citations per year

Countries citing papers authored by Mathias Beiglböck

Since Specialization
Citations

This map shows the geographic impact of Mathias Beiglböck'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 Mathias Beiglböck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Beiglböck more than expected).

Fields of papers citing papers by Mathias Beiglböck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathias Beiglböck. 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 Mathias Beiglböck. The network helps show where Mathias Beiglböck may publish in the future.

Co-authors

The 25 scholars most cited alongside Mathias Beiglböck, 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 Mathias Beiglböck Line = papers co-authored together Mathias Beiglböck links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201382
2 201645
3 201936
4 200930
5 201325
6 200924
7 202024
8 200522
9 201722
10 201121
11 200520
12 201715
13 201415
14 201114
15 201213
16 202112
17 201112
18 200711
19 201511
20 201810

About Mathias Beiglböck

Mathias Beiglböck is a scholar working on Applied Mathematics, Finance, Geometry and Topology, Discrete Mathematics and Combinatorics and Mathematical Physics, having authored 46 papers that have together received 582 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (18 papers), Geometric Analysis and Curvature Flows (12 papers), Point processes and geometric inequalities (11 papers), Advanced Topology and Set Theory (10 papers), Limits and Structures in Graph Theory (9 papers), Markov Chains and Monte Carlo Methods (7 papers), Nonlinear Partial Differential Equations (6 papers) and Geometry and complex manifolds (6 papers). The work is most often cited by research in Finance (218 citations), Applied Mathematics (204 citations), Discrete Mathematics and Combinatorics (61 citations), Geometry and Topology (144 citations) and Mathematical Physics (138 citations). Mathias Beiglböck has collaborated with scholars based in Austria, France and United States. Frequent co-authors include Walter Schachermayer, Beatrice Acciaio, Alexander M. G. Cox, Vitaly Bergelson, Alexander Fish, Pierre Henry‐Labordère, Dona Strauss, Martin Goldstern, Neil Hindman and Marcel Nutz. Their work appears in journals such as Probability Theory and Related Fields, Transactions of the American Mathematical Society, Stochastic Processes and their Applications, Bernoulli and Bulletin 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.

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