Deterministic Process Simulation
Deterministic Process Simulation is a type of process simulation that models system behavior using fixed input parameters and predefined rules to produce unique, repeatable outcomes without incorporating randomness or probabilistic variations.
17
Publications
707
Citations
43
Authors
31
Institutions
Publications per year
2017–2026
3
Parents
17
Simulating a Random Walk with Constant Error
Joshua Cooper, Joel Spencer · Combinatorics Probability Computing · 2006 · 107 citations
Dynamics of convulsive seizure termination and postictal generalized EEG suppression
Prisca R. Bauer, Roland D. Thijs, Robert J. Lamberts et al. · Brain · 2016 · 77 citations · Full text
Medicine, Neurology, Neuroscience +15
Artur M. Schweidtmann, Wolfgang R. Huster, Jannik T. Lüthje et al. · Computers & Chemical Engineering · 2018 · 55 citations · Full text
Computing, Chemical Engineering, Computational Engineering +14
1–5 of 17
43
2
h-index
2
h-index
1
h-index
Rutgers, The State University of New Jersey, United States
1 publications · 89 citations
1
h-index
1
h-index
1–5 of 43
31

University of Agder
Kristiansand, Norway
3 h-index
5 publications
72 citations
Siemens (Germany)
Munich, Germany
1 h-index
1 publications
16 citations
Netherlands Institute for Neuroscience
Amsterdam, Netherlands
1 h-index
1 publications
77 citations
University of Southern California
Los Angeles, United States
1 h-index
1 publications
51 citations
Courant Institute of Mathematical Sciences
New York, United States
1 h-index
2 publications
214 citations
University College London
London, United Kingdom
1 h-index
3 publications
231 citations

University of British Columbia
Vancouver, Canada
1 h-index
1 publications
32 citations
Agder Research
Kristiansand, Norway
1 h-index
2 publications
20 citations
1–8 of 31
1 publications · 113 citations
1
h-index
AJPT · 1 publications · 89 citations
1
h-index
1 publications · 51 citations
1
h-index
1 publications · 27 citations
1
h-index
1 publications · 107 citations
1
h-index
1–5