M. Cranston

1.4k citations
54 papers · 892 · h-index 16

Impact in

    • Stochastic processes and statistical mechanics
    • Numerical methods in inverse problems
    • Nonlinear Partial Differential Equations
    • Geometric Analysis and Curvature Flows

Papers in

    • Stochastic processes and statistical mechanics 23
    • Mathematical Dynamics and Fractals 7
    • Stochastic processes and financial applications 17

M. Cranston

49 papers receiving 809 citations

Peers

M. Cranston
Comparison fields: 5 of 69
  • Mathematical Physics 542
  • Applied Mathematics 364
  • Finance 275
  • Statistics and Probability 154
  • Computational Theory and Mathematics 267
Replace Yuri G. Kondratiev with:
Yuri G. Kondratiev Germany
Martin T. Barlow Canada
Ross G. Pinsky Israel
Tom Lindstrøm Norway
S. R. Srinivasa Varadhan United States
J. F. Le Gall France
Mu-Fa Chen China
Izumi Kubo Japan
Lorenzo Zambotti France
Elton P. Hsu United States
M. Cranston relative to Yuri G. Kondratiev Germany Yuri G. Kondratiev's profile →
Citations per field
00.5×2×3.1×
Yuri G. Kondratiev · 1×
Citations per year

Countries citing papers authored by M. Cranston

Since Specialization
Citations

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

Fields of papers citing papers by M. Cranston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198893
2 200175
3 199173
4 198354
5 199548
6 198641
7 198739
8 200835
9 198534
10 199531
11 200625
12 200021
13 198920
14 199619
15 199519
16 199916
17 199015
18
On the noncoalescence of a two point brownian motion reflecting on a circle
198914
19 200514
20 199114

About M. Cranston

M. Cranston is a scholar working on Mathematical Physics, Finance, Applied Mathematics, Computational Theory and Mathematics and Condensed Matter Physics, having authored 54 papers that have together received 892 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (23 papers), Stochastic processes and financial applications (17 papers), Advanced Mathematical Modeling in Engineering (11 papers), Theoretical and Computational Physics (10 papers), Markov Chains and Monte Carlo Methods (7 papers), Mathematical Dynamics and Fractals (7 papers), Geometric Analysis and Curvature Flows (6 papers) and Point processes and geometric inequalities (5 papers). The work is most often cited by research in Mathematical Physics (542 citations), Applied Mathematics (364 citations), Finance (275 citations), Statistics and Probability (154 citations) and Computational Theory and Mathematics (267 citations). M. Cranston has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Thomas Mountford, Eugene B. Fabes, Stanislav Molchanov, Richard F. Bass, Terry R. McConnell, D. W. Stroock, Zhengyang Zhao, Subhadip Raychaudhuri, Yonathan Shapir and Feng‐Yu Wang. Their work appears in journals such as Probability Theory and Related Fields, The Annals of Probability, Journal of Functional Analysis, Stochastic Processes and their Applications and Bulletin of the American 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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