Vincent Verdult

2.6k total citations · 1 hit paper
43 papers, 1.9k citations indexed

About

Vincent Verdult is a scholar working on Control and Systems Engineering, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, Vincent Verdult has authored 43 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Control and Systems Engineering, 6 papers in Civil and Structural Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Vincent Verdult's work include Control Systems and Identification (32 papers), Fault Detection and Control Systems (29 papers) and Advanced Control Systems Optimization (17 papers). Vincent Verdult is often cited by papers focused on Control Systems and Identification (32 papers), Fault Detection and Control Systems (29 papers) and Advanced Control Systems Optimization (17 papers). Vincent Verdult collaborates with scholars based in Netherlands, Portugal and Italy. Vincent Verdult's co-authors include Michel Verhaegen, Jacquelien M.A. Scherpen, Chun Tung Chou, Ton van den Boom, Marco Lovera, H.H.J. Bloemen, Ton Backx, Lennart Ljung, José G. Borges and Robert Babuška and has published in prestigious journals such as Automatica, International Journal of Control and Journal of Process Control.

In The Last Decade

Vincent Verdult

41 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Filtering and System Identification: A Least Squares Approach

2007 365 citations Michel Verhaegen, Vincent Verdult CERN Document Server (European Organization for Nuclear Research) profile →

Peers

Vincent Verdult

CSE

EEE

ME

AI

Tohru Katayama Japan

Peter M. Young United States

Roland Tóth Netherlands

Maurı́cio C. de Oliveira United States

H. Unbehauen Germany

Roberto Guidorzi Italy

V. Cerone Italy

Xavier Bombois Netherlands

Mario E. Salgado Chile

Jing Chen China

Tohru Katayama Japan

Vincent Verdult

1.8k ×1.3

CSE

378 ×1.1

CSE

127 ×0.6

EEE

193 ×1.0

ME

247 ×1.4

AI

Citations per year, relative to Vincent Verdult Vincent Verdult (= 1×) peers Tohru Katayama

Countries citing papers authored by Vincent Verdult

Since Specialization

Citations

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

Fields of papers citing papers by Vincent Verdult

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Verdult

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Verdult. A scholar is included among the top collaborators of Vincent Verdult 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 Vincent Verdult. Vincent Verdult is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Verhaegen, Michel & Vincent Verdult. (2007). Filtering and System Identification: A Least Squares Approach. CERN Document Server (European Organization for Nuclear Research). 365 indexed citations breakdown →

2.

Verhaegen, Michel & Vincent Verdult. (2007). Filtering and System Identification. Cambridge University Press eBooks. 373 indexed citations

3.

Borges, José G., Vincent Verdult, Michel Verhaegen, & Miguel Ayala Botto. (2006). A switching detection method based on projected subspace classification. 344–349. 21 indexed citations

4.

Schrempf, Andreas & Vincent Verdult. (2005). IDENTIFICATION OF APPROXIMATIVE NONLINEAR STATE-SPACE MODELS BY SUBSPACE METHODS. IFAC Proceedings Volumes. 38(1). 934–939. 2 indexed citations

5.

Verdult, Vincent, Michel Verhaegen, & Jacquelien M.A. Scherpen. (2005). Identification of nonlinear nonautonomous state space systems from input-output measurements. University of Twente Research Information. 2. 410–414. 3 indexed citations

6.

Verdult, Vincent, et al.. (2005). FAULT DETECTION AND IDENTIFICATION OF ACTUATOR FAULTS USING LINEAR PARAMETER VARYING MODELS. IFAC Proceedings Volumes. 38(1). 119–124. 26 indexed citations

7.

Verdult, Vincent & Michel Verhaegen. (2004). A Kernel method for subspace identification of multivariable bilinear systems. 3972–3977. 8 indexed citations

8.

Schutter, Bart De, Ton van den Boom, & Vincent Verdult. (2004). State space identification of max-plus-linear discrete event systems from input-output data. 4. 4024–4029. 7 indexed citations

9.

Verdult, Vincent, et al.. (2003). An efficient implementation of maximum likelihood identification of LTI state-space models by local gradient search. University of Twente Research Information. 1. 616–621. 14 indexed citations

10.

Verdult, Vincent & Michel Verhaegen. (2002). Subspace identification of multivariable linear parameter-varying systems. Automatica. 38(5). 805–814. 150 indexed citations

11.

Oku, Hiromasa, et al.. (2002). Change detection in the dynamics with recursive subspace identification. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228). 15 indexed citations

12.

Verdult, Vincent & Michel Verhaegen. (2001). Identification of multivariable bilinear state space systems based on subspace techniques and separable least squares optimization. International Journal of Control. 74(18). 1824–1836. 25 indexed citations

13.

Verdult, Vincent & Michel Verhaegen. (2001). Identification of multivariable LPV state space systems by local gradient search. 3675–3680. 11 indexed citations

14.

Verdult, Vincent, Michel Verhaegen, & Jacquelien M.A. Scherpen. (2000). Proceedings of the IEEE International Conference on Industrial Technology 2000. 273 indexed citations

15.

Verdult, Vincent & Michel Verhaegen. (2000). Bilinear state space systems for nonlinear dynamical modelling. Theory in Biosciences. 119(1). 1–9. 7 indexed citations

16.

Chou, Chun Tung, et al.. (2000). Nonlinear Identification of High Purity Distillation Columns. IFAC Proceedings Volumes. 33(15). 415–420. 12 indexed citations

17.

Bloemen, H.H.J., et al.. (2000). Wiener MPC for high purity dual composition control of a distillation column. University of Twente Research Information. 198–203. 2 indexed citations

18.

Verdult, Vincent. (2000). Bilinear State Space Systems for Nonlinear Dynamical Modelling. Theory in Biosciences. 119(1). 1–9. 8 indexed citations

19.

Verdult, Vincent & Michel Verhaegen. (1999). Subspace-based identification of MIMO bilinear systems. 2029–2034. 15 indexed citations

20.

Verdult, Vincent, Michel Verhaegen, & Chun Tung Chou. (1999). Identification of MIMO bilinear state space models using separable least squares. 838–842 vol.2. 13 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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