Random Walk Approximation
Random Walk Approximation is a mathematical modeling technique that belongs to the class of stochastic process approximation methods, distinguished by its use of discrete random walk trajectories to approximate the continuous paths of Brownian motion.
177
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9.4K
Citations
289
Authors
198
Institutions
Publications per year
2017–2026
15
Parents
177
Radiative transfer in very optically thick circumstellar disks
M. Min, C. P. Dullemond, C. Dominik et al. · Astronomy and Astrophysics · 2009 · 261 citations · Full text
Natural Sciences, Astronomy, Physics +17
How predictable is technological progress?
J. Doyne Farmer, François Lafond · Research Policy · 2016 · 240 citations · Full text
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Stanford University
Stanford, United States
7 h-index
7 publications
372 citations

Cornell University
Ithaca, United States
6 h-index
14 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
12 publications
1K citations

Sorbonne Université
Paris, France
4 h-index
5 publications
71 citations
University of Oxford
Oxford, United Kingdom
4 h-index
6 publications
594 citations
ETH Zurich
Zurich, Switzerland
4 h-index
6 publications
244 citations
National Institutes of Health
Bethesda, United States
3 h-index
3 publications
82 citations
Columbia University
New York, United States
3 h-index
5 publications
224 citations
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8 publications · 401 citations
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JAP · 6 publications · 141 citations
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AAP · 6 publications · 218 citations
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5 publications · 149 citations
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5 publications · 847 citations
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