Point Process Analysis
Point Process Analysis is a statistical methodology for modeling and analyzing sequences of discrete events in continuous time, distinguished by its focus on the timing, occurrence, and intensity of individual events rather than regularly sampled observations.
588
Publications
41.6K
Citations
982
Authors
518
Institutions
Publications per year
2017–2026
88
588
Spectra of some self-exciting and mutually exciting point processes
Alan G. Hawkes · Biometrika · 1971 · 2.2K citations
1–5 of 588
982
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518
TU Bergakademie Freiberg
Freiberg, Germany
16 h-index
32 publications
1.4K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
25 publications
1K citations
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
29 publications
1.6K citations
University of California, Berkeley
Berkeley, United States
13 h-index
22 publications
1.3K citations

The University of Melbourne
Melbourne, Australia
10 h-index
13 publications
551 citations
Harvard University
Cambridge, United States
10 h-index
24 publications
1.4K citations
Massachusetts General Hospital
Boston, United States
10 h-index
33 publications
2K citations
Stanford University
Stanford, United States
10 h-index
14 publications
518 citations
1–8 of 518
AAP · 35 publications · 1.2K citations
21
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JAP · 29 publications · 2.1K citations
17
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Repository · 16 publications · 738 citations
16
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19 publications · 2K citations
15
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14 publications · 964 citations
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