Andreas Greven

1.7k citations
62 papers · 836 · h-index 18

Impact in

    • Stochastic processes and statistical mechanics
    • Mathematical Dynamics and Fractals
    • advanced mathematical theories
    • Markov Chains and Monte Carlo Methods
    • Random Matrices and Applications

Papers in

Andreas Greven

57 papers receiving 754 citations

Peers

Andreas Greven
Comparison fields: 5 of 53
  • Mathematical Physics 731
  • Statistics and Probability 249
  • Condensed Matter Physics 303
  • Finance 164
  • Statistical and Nonlinear Physics 100
Replace Jean-Dominique Deuschel with:
Jean-Dominique Deuschel Germany
Pierre Picco France
Thomas Mountford United States
Martin T. Barlow Canada
Peter Mörters United Kingdom
Tokuzo Shiga Japan
Francis Comets France
Yuri G. Kondratiev Germany
Jürgen Gärtner Germany
Alan Stacey United Kingdom
Andreas Greven relative to Jean-Dominique Deuschel Germany Jean-Dominique Deuschel's profile →
Citations per field
00.5×2.8×
Jean-Dominique Deuschel · 1×
Citations per year

Countries citing papers authored by Andreas Greven

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Greven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Andreas Greven, 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 Andreas Greven Line = papers co-authored together Andreas Greven links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200880
2 199468
3 200546
4 199430
5 199330
6 199230
7 199630
8 199325
9 199524
10 199424
11 199021
12 199520
13 199320
14 199520
15 201219
16 200718
17 199618
18 199317
19 199616
20 199516

About Andreas Greven

Andreas Greven is a scholar working on Mathematical Physics, Condensed Matter Physics, Statistics and Probability, Molecular Biology and Finance, having authored 62 papers that have together received 836 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (55 papers), Theoretical and Computational Physics (31 papers), Markov Chains and Monte Carlo Methods (21 papers), Mathematical Dynamics and Fractals (21 papers), Stochastic processes and financial applications (9 papers), Diffusion and Search Dynamics (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and advanced mathematical theories (4 papers). The work is most often cited by research in Mathematical Physics (731 citations), Statistics and Probability (249 citations), Condensed Matter Physics (303 citations), Finance (164 citations) and Statistical and Nonlinear Physics (100 citations). Andreas Greven has collaborated with scholars based in Germany, Netherlands and Canada. Frequent co-authors include Frank den Hollander, Donald A. Dawson, J. Theodore Cox, Peter Pfaffelhuber, Anita Winter, Klaus Fleischmann, Jean-Dominique Deuschel, Jean Vaillancourt, Jean-Bernard Baillon and Matthias Birkner. Their work appears in journals such as Probability Theory and Related Fields, Electronic Journal of Probability, The Annals of Probability, Stochastic Processes and their Applications and Theoretical Population Biology.

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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