S. Weiland

4.7k total citations
214 papers, 3.0k citations indexed

About

S. Weiland is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, S. Weiland has authored 214 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Control and Systems Engineering, 56 papers in Statistical and Nonlinear Physics and 35 papers in Electrical and Electronic Engineering. Recurrent topics in S. Weiland's work include Advanced Control Systems Optimization (69 papers), Control Systems and Identification (61 papers) and Model Reduction and Neural Networks (50 papers). S. Weiland is often cited by papers focused on Advanced Control Systems Optimization (69 papers), Control Systems and Identification (61 papers) and Model Reduction and Neural Networks (50 papers). S. Weiland collaborates with scholars based in Netherlands, United States and Germany. S. Weiland's co-authors include W.P.M.H. Heemels, A.L. Juloski, P. Astrid, Ton Backx, Karen Willcox, M. Steinbuch, Mircea Lazar, M.C.F. Donkers, Alberto Bemporad and Jan C. Willems and has published in prestigious journals such as IEEE Transactions on Automatic Control, Scientific Reports and Automatica.

In The Last Decade

S. Weiland

194 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Weiland Netherlands 24 2.0k 498 457 294 272 214 3.0k
S. Bittanti Italy 34 2.7k 1.4× 445 0.9× 359 0.8× 634 2.2× 351 1.3× 261 4.4k
Karolos Grigoriadis United States 32 3.5k 1.8× 277 0.6× 322 0.7× 424 1.4× 329 1.2× 258 4.7k
Boris Lohmann Germany 29 1.3k 0.7× 805 1.6× 466 1.0× 700 2.4× 877 3.2× 272 3.1k
Andy Packard United States 28 3.3k 1.7× 186 0.4× 234 0.5× 323 1.1× 317 1.2× 64 3.9k
Gary Balas United States 39 3.6k 1.8× 192 0.4× 228 0.5× 410 1.4× 411 1.5× 173 4.8k
M.J. Grimble United Kingdom 34 3.8k 1.9× 185 0.4× 320 0.7× 527 1.8× 113 0.4× 406 4.7k
Mario A. Rotea United States 30 2.7k 1.4× 150 0.3× 533 1.2× 196 0.7× 129 0.5× 159 4.1k
Roy S. Smith Switzerland 32 2.5k 1.3× 130 0.3× 814 1.8× 403 1.4× 156 0.6× 239 3.9k
Mehmet Önder Efe Türkiye 27 1.8k 0.9× 294 0.6× 260 0.6× 318 1.1× 115 0.4× 143 2.7k
Carsten W. Scherer Netherlands 33 5.7k 2.9× 222 0.4× 470 1.0× 503 1.7× 396 1.5× 190 6.6k

Countries citing papers authored by S. Weiland

Since Specialization
Citations

This map shows the geographic impact of S. Weiland'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 S. Weiland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Weiland more than expected).

Fields of papers citing papers by S. Weiland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Weiland. 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 S. Weiland. The network helps show where S. Weiland may publish in the future.

Co-authorship network of co-authors of S. Weiland

This figure shows the co-authorship network connecting the top 25 collaborators of S. Weiland. A scholar is included among the top collaborators of S. Weiland 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 S. Weiland. S. Weiland 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
2.
Weiland, S., et al.. (2023). Fast simultaneous estimation of nD transport coefficients and source function in perturbation experiments. Scientific Reports. 13(1). 3241–3241. 1 indexed citations
3.
Tiels, Koen, et al.. (2022). Decoupling multivariate functions using a nonparametric filtered tensor decomposition. arXiv (Cornell University). 1 indexed citations
4.
Weiland, S. & Xiaodong Cheng. (2022). Interconnection and Approximation in Networks of Dissipative Systems: Addressing Topological Simplification. IEEE Control Systems. 42(2). 107–117.
5.
Remmers, Joris J. C., et al.. (2020). Multiphysical modeling and optimal control of material properties for photopolymerization processes. Additive manufacturing. 38. 101520–101520. 22 indexed citations
6.
Hof, Paul M.J. Van den, et al.. (2017). Flow-based dissimilarity measures for reservoir models: a spatial-temporal tensor approach. Computational Geosciences. 21(4). 645–663. 5 indexed citations
7.
Weiland, S., et al.. (2016). Probabilistic short-term load forecasting with conditional mean-variance and quantile regression models. TU/e Research Portal. 1123–1128. 1 indexed citations
8.
Weiland, S., et al.. (2015). Hankel model reduction for descriptor systems. TU/e Research Portal. 140. 4668–4673. 8 indexed citations
9.
10.
Heemels, W.P.M.H. & S. Weiland. (2007). Input-to-state stability and interconnections of discontinuous dynamical systems. Data Archiving and Networked Services (DANS). 1 indexed citations
11.
Weiland, S., et al.. (2007). Approximation of fast dynamics in kinetic networks using non-negative polynomials. ˜The œproceedings of the IEEE Conference on Control Applications. 1144–1149. 4 indexed citations
12.
Özkan, Leyla, et al.. (2007). MODEL REDUCTION OF NONLINEAR SYSTEMS: A GREY-BOX MODELING APPROACH1. IFAC Proceedings Volumes. 40(12). 366–371. 1 indexed citations
13.
Özkan, Leyla, et al.. (2007). A GREY-BOX MODELING APPROACH FOR THE REDUCTION OF NONLINEAR SYSTEMS. IFAC Proceedings Volumes. 40(5). 239–244. 3 indexed citations
14.
Weiland, S., et al.. (2006). Model reduction through multilinear singular value decompositions. Research Repository (Delft University of Technology). 1 indexed citations
15.
Juloski, A.L., S. Weiland, & W.P.M.H. Heemels. (2005). A Bayesian approach to identification of hybrid systems. IEEE Transactions on Automatic Control. 50(10). 1520–1533. 213 indexed citations
16.
Astrid, P., S. Weiland, & Karen Willcox. (2004). On the Acceleration of a POD-based Model Reduction Technique. Data Archiving and Networked Services (DANS). 1 indexed citations
17.
Hof, Paul M.J. Van den, Bo Wahlberg, & S. Weiland. (2004). System identification (SYSID '03) : a proceedings volume from the 13th IFAC Symposium on System Identification, Rotterdam, the Netherlands, 27-29 August 2003. Elsevier eBooks. 20 indexed citations
18.
Lazar, Mircea, W.P.M.H. Heemels, S. Weiland, & Alberto Bemporad. (2004). Stabilizing receding horizon control of piecewise linear systems: An LMI approach. Institutional Research Information System (Università degli Studi di Trento). 4 indexed citations
19.
Roorda, Berend & S. Weiland. (1999). An optimal model approximation scheme for linear time-invariant behaviors. TU/e Research Portal. 1088–1091. 2 indexed citations
20.
Weiland, S. & Jan C. Willems. (1991). DISSIPATIVE DYNAMICAL SYSTEMS IN A BEHAVIORAL CONTEXT. Mathematical Models and Methods in Applied Sciences. 1(1). 1–25. 17 indexed citations

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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