System Identification
System Identification is the academic discipline within systems modeling and process control that systematically develops and validates mathematical models of dynamic systems based on observed input-output data, distinguishing itself from other modeling approaches by its reliance on empirical data rather than first-principles analysis.
19.8K
Publications
1.1M
Citations
31.8K
Authors
4.8K
Institutions
Publications per year
2017–2026
4.7K
Variants
System IdSystems Identification
19.8K
1–5 of 19.8K
31.8K
90
h-index
64
h-index
44
h-index
42
h-index
41
h-index
1–5 of 31.8K
4.8K
Jiangnan University
Wuxi, China
96 h-index
786 publications
50.6K citations

Centre National de la Recherche Scientifique
Paris, France
74 h-index
1.1K publications
50.3K citations

Delft University of Technology
Delft, The Netherlands
71 h-index
684 publications
36.5K citations
University of Sheffield
Sheffield, United Kingdom
71 h-index
486 publications
42.9K citations

Linköping University
Linköping, Sweden
67 h-index
413 publications
36.4K citations
Qingdao University of Science and Technology
Qingdao, China
61 h-index
226 publications
17.1K citations
KU Leuven
Leuven, Belgium
61 h-index
461 publications
44.7K citations

University of Alberta
Edmonton, Canada
59 h-index
411 publications
20.4K citations
1–8 of 4.8K
873 publications · 83.7K citations
136
h-index
812 publications · 65.2K citations
125
h-index
411 publications · 29.7K citations
82
h-index
276 publications · 19.9K citations
75
h-index
MSSP · 377 publications · 21.9K citations
70
h-index
1–5