Peter S.C. Heuberger

49 papers receiving 2.6k citations

Hit Papers

Calibration of process-oriented models19952026200520151995200400600

Peers

Peter S.C. Heuberger
Comparison fields: 5 of 123
  • Control and Systems Engineering 1.5k
  • Civil and Structural Engineering 497
  • Global and Planetary Change 330
  • Statistics, Probability and Uncertainty 244
  • Statistical and Nonlinear Physics 217
Replace Peter C. Young with:
Peter C. Young United Kingdom
Joseph H. W. Lee Hong Kong
Jie Ding China
T. E. Unny Canada
George E. Meyer United States
Xavier Litrico France
Saman Razavi Canada
Tomasz Kozłowski United States
Dimitrios Gyalistras Switzerland
D.G. Krige South Africa
Peter S.C. Heuberger relative to Peter C. Young United Kingdom Peter C. Young's profile →
Citations per field
00.5×1.5×1.8×
Peter C. Young · 1×
Citations per year

Countries citing papers authored by Peter S.C. Heuberger

Since Specialization
Citations

This map shows the geographic impact of Peter S.C. Heuberger's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter S.C. Heuberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter S.C. Heuberger more than expected).

Fields of papers citing papers by Peter S.C. Heuberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter S.C. Heuberger. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter S.C. Heuberger. The network helps show where Peter S.C. Heuberger may publish in the future.

Co-authorship network of co-authors of Peter S.C. Heuberger

This figure shows the co-authorship network connecting the top 25 collaborators of Peter S.C. Heuberger. A scholar is included among the top collaborators of Peter S.C. Heuberger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter S.C. Heuberger. Peter S.C. Heuberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 70
2 12
3 30
4 8
5 64
6 193
7 71
8 2
9 1
10 6
11 251
12
Modeling and Identification of Linear Parameter-Varying Systems, an Orthonormal Basis Function Approach
52
13 0
14 1
15 14
16 3
17
Modelling and Identification with Orthogonal Basis Functions
9
18 19
19
Calibration of process-oriented modelsbreakdown →
634
20 27

About Peter S.C. Heuberger

Peter S.C. Heuberger is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty, having authored 52 papers that have together received 2.8k indexed citations. Recurring topics across this work include Control Systems and Identification (41 papers), Fault Detection and Control Systems (21 papers) and Model Reduction and Neural Networks (17 papers). The work is most often cited by research in Control and Systems Engineering (1.5k citations), Statistics, Probability and Uncertainty (244 citations) and Civil and Structural Engineering (497 citations). Peter S.C. Heuberger has collaborated with scholars based in Netherlands, Hungary and Belgium. Frequent co-authors include Paul M.J. Van den Hof, Peter H. Janssen, J. Bokor, О.H. Bosgra, Roland Tóth, Arne G. Dankers, Xavier Bombois, Arthur Beusen, G. Van Drecht and K.W. van der Hoek. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Atmospheric Environment.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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