Point Process Simulation
Point Process Simulation is a computational methodology within stochastic process theory that generates realizations of point patterns according to specified probabilistic rules, distinguishing itself by its focus on modeling random spatial or temporal event configurations governed by point process laws.
90
Publications
6.5K
Citations
164
Authors
100
Institutions
Publications per year
2017–2026
7
Parents
90
Point process models of single-neuron discharges
Don H. Johnson · Journal of Computational Neuroscience · 1996 · 248 citations
1–5 of 90
164
10
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University of California, Los Angeles, United States
3 publications · 300 citations
3
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3
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2
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1–5 of 164
100
Aalborg University
Aalborg, Denmark
8 h-index
10 publications
952 citations
University of California, Los Angeles
Los Angeles, United States
5 h-index
9 publications
872 citations

University of Warwick
Coventry, United Kingdom
5 h-index
5 publications
326 citations
Duke University
Durham, United States
3 h-index
5 publications
110 citations
Columbia University
New York, United States
3 h-index
5 publications
346 citations
Stanford University
Stanford, United States
3 h-index
5 publications
148 citations
University of California, Berkeley
Berkeley, United States
2 h-index
8 publications
1.1K citations

University of Alabama at Birmingham
Birmingham, United States
2 h-index
2 publications
24 citations
1–8 of 100
AAP · 10 publications · 478 citations
10
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JAP · 4 publications · 127 citations
4
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JGR · 2 publications · 109 citations
2
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2 publications · 190 citations
2
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Repository · 2 publications · 54 citations
2
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1–5