Mario Wschebor

1.2k citations
39 papers · 348 · h-index 13

Impact in

    • Stochastic processes and statistical mechanics
  • Finance top 5%
    • Stochastic processes and financial applications
    • Financial Risk and Volatility Modeling

Papers in

Mario Wschebor

37 papers receiving 304 citations

Peers

Mario Wschebor
Comparison fields: 5 of 56
  • Mathematical Physics 119
  • Finance 116
  • Geometry and Topology 97
  • Applied Mathematics 97
  • Statistics and Probability 67
Replace V. N. Sudakov with:
V. N. Sudakov Russia
Gunnar Forst Denmark
И. В. Островскии Türkiye
V. Tarieladze Georgia
Paul Lévy France
Shigeki Aida Japan
James Kuelbs United States
Ron C. Blei United States
Ely Merzbach Israel
J.-P. Kahane France
Mario Wschebor relative to V. N. Sudakov Russia V. N. Sudakov's profile →
Citations per field
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V. N. Sudakov · 1×
Citations per year

Countries citing papers authored by Mario Wschebor

Since Specialization
Citations

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

Fields of papers citing papers by Mario Wschebor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Mario Wschebor, 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 Mario Wschebor Line = papers co-authored together Mario Wschebor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200740
2 199620
3 200319
4 200318
5 200417
6 199616
7 198416
8 198415
9 200814
10 198513
11 198513
12 200413
13 199113
14 200510
15 19989
16 20029
17 20098
18 20018
19 19817
20 19977

About Mario Wschebor

Mario Wschebor is a scholar working on Mathematical Physics, Geometry and Topology, Finance, Applied Mathematics and Statistics and Probability, having authored 39 papers that have together received 348 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (16 papers), Geometry and complex manifolds (11 papers), Stochastic processes and financial applications (10 papers), Geometric Analysis and Curvature Flows (6 papers), Random Matrices and Applications (5 papers), Mathematical Dynamics and Fractals (5 papers), Analysis of environmental and stochastic processes (4 papers) and Financial Risk and Volatility Modeling (3 papers). The work is most often cited by research in Mathematical Physics (119 citations), Finance (116 citations), Geometry and Topology (97 citations), Applied Mathematics (97 citations) and Statistics and Probability (67 citations). Mario Wschebor has collaborated with scholars based in Uruguay, France and Venezuela. Frequent co-authors include Jean‐Marc Azäis, Felipe Cucker, David Nualart, Térésa Krick, Jean‐Marc Bardet, Juan A. Cuesta‐Albertos, Ernesto Mordecki and Serge Cohen. Their work appears in journals such as Probability Theory and Related Fields, Stochastic Processes and their Applications, Journal of Complexity, Bernoulli 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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