Spatio-temporal Point Processes
Spatio-Temporal Point Processes is a stochastic process that models the occurrence of discrete events in continuous space and time, distinguished by its ability to characterize the intensity and dependence structure of events across both spatial locations and temporal intervals.
99
Publications
5.2K
Citations
254
Authors
150
Institutions
Publications per year
2017–2026
45
99
Recurrent Marked Temporal Point Processes
Nan Du, Hanjun Dai, Rakshit Trivedi et al. · 2016 · 554 citations
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation
Jooyeon Kim, Behzad Tabibian, Alice Oh et al. · 2018 · 229 citations · Full text
Power-law models for infectious disease spread
Sebastian Meyer, Leonhard Held · Open MIND · 2014 · 163 citations · Full text
1–5 of 99
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Max Planck Institute for Software Systems, Germany
7 publications · 955 citations
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3
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1–5 of 254
150
Lancaster University
Lancaster, United Kingdom
6 h-index
10 publications
1.6K citations

Universitat Jaume I
Castellon, Spain
5 h-index
7 publications
152 citations

University of Calabria
Rende, Italy
4 h-index
10 publications
206 citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
15 publications
2.5K citations
Max Planck Institute for Software Systems
Saarbrücken, Germany
4 h-index
8 publications
1.8K citations

Université d'Avignon et des Pays de Vaucluse
Avignon, France
3 h-index
3 publications
266 citations
Harvard University
Cambridge, United States
3 h-index
4 publications
228 citations
Iowa State University
Ames, United States
3 h-index
4 publications
118 citations
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Repository · 9 publications · 282 citations
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AOAS · 4 publications · 274 citations
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3 publications · 159 citations
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3 publications · 271 citations
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2 publications · 74 citations
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