Johan Paduart

432 total citations
13 papers, 310 citations indexed

About

Johan Paduart is a scholar working on Control and Systems Engineering, Civil and Structural Engineering and Computational Mechanics. According to data from OpenAlex, Johan Paduart has authored 13 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 4 papers in Civil and Structural Engineering and 4 papers in Computational Mechanics. Recurrent topics in Johan Paduart's work include Control Systems and Identification (11 papers), Fault Detection and Control Systems (8 papers) and Structural Health Monitoring Techniques (4 papers). Johan Paduart is often cited by papers focused on Control Systems and Identification (11 papers), Fault Detection and Control Systems (8 papers) and Structural Health Monitoring Techniques (4 papers). Johan Paduart collaborates with scholars based in Belgium, Hungary and Netherlands. Johan Paduart's co-authors include J. Schoukens, Rik Pintelon, Jan Swevers, Lieve Lauwers, L. Lauwers, Gerd Vandersteen, Gábor Horváth, Jan Anthonis, Josse De Baerdemaeker and Yves Rolain and has published in prestigious journals such as Automatica, IEEE Transactions on Instrumentation and Measurement and Control Engineering Practice.

In The Last Decade

Johan Paduart

12 papers receiving 304 citations

Peers

Johan Paduart

CSE

AI

SNP

CM

Lieve Lauwers Belgium

Ricardo J.G.B. Campello Brazil

W. Spinelli Italy

Peter G. Hamel Germany

K.M. Sobel United States

Julian Theis Germany

M.P. Newlin United States

J.-F. Magni France

D. Gangsaas United States

S. Srinathkumar United States

Lieve Lauwers Belgium

Johan Paduart

168 ×0.7

CSE

71 ×0.8

CSE

47 ×0.9

AI

33 ×0.9

SNP

32 ×1.0

CM

Citations per year, relative to Johan Paduart Johan Paduart (= 1×) peers Lieve Lauwers

Countries citing papers authored by Johan Paduart

Since Specialization

Citations

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

Fields of papers citing papers by Johan Paduart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Paduart

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

All Works

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13 of 13 papers shown

1.

Paduart, Johan, L. Lauwers, Rik Pintelon, & J. Schoukens. (2012). Identification of a Wiener–Hammerstein system using the polynomial nonlinear state space approach. Control Engineering Practice. 20(11). 1133–1139. 44 indexed citations

2.

Paduart, Johan, et al.. (2010). Identification of nonlinear systems using Polynomial Nonlinear State Space models. Automatica. 46(4). 647–656. 173 indexed citations

3.

Paduart, Johan, L. Lauwers, Rik Pintelon, & J. Schoukens. (2009). Identification of a Wiener-Hammerstein System Using the Polynomial Nonlinear State Space Approach. IFAC Proceedings Volumes. 42(10). 1080–1085. 49 indexed citations

4.

Paduart, Johan, et al.. (2007). On the Equivalence between some Block Oriented Nonlinear Models and Nonlinear Polynomial State Space Models. Conference proceedings - IEEE Instrumentation/Measurement Technology Conference. 1–6. 1 indexed citations

5.

Paduart, Johan, J. Schoukens, & Yves Rolain. (2007). Fast Measurement of Quantization Distortions in DSP Algorithms. IEEE Transactions on Instrumentation and Measurement. 56(5). 1917–1923. 3 indexed citations

6.

Paduart, Johan, et al.. (2006). NONLINEAR STATE SPACE MODELLING OF MULTIVARIABLE SYSTEMS. IFAC Proceedings Volumes. 39(1). 565–569. 5 indexed citations

7.

Schoukens, J., Rik Pintelon, Johan Paduart, & Gerd Vandersteen. (2006). Nonparametric initial estimates for Wiener-Hammerstein systems. IFAC Proceedings Volumes. 39(1). 778–783. 16 indexed citations

8.

Paduart, Johan, J. Schoukens, K. Smolders, & Jan Swevers. (2006). Comparison of two different nonlinear state-space identification algorithms. Lirias (KU Leuven). 2777–2784. 1 indexed citations

9.

Paduart, Johan, et al.. (2006). Nonlinear system identification on a combine harvester. 6 pp.–6 pp.. 6 indexed citations

10.

Paduart, Johan, et al.. (2006). Nonlinear State Space Modelling of Multivariable Systems. VUBIR (Vrije Universiteit Brussel). 1 indexed citations

11.

Paduart, Johan, Gábor Horváth, & J. Schoukens. (2004). Fast Identification of systems with nonlinear feedback. VUBIR (Vrije Universiteit Brussel). 3 indexed citations

12.

Paduart, Johan, J. Schoukens, & Yves Rolain. (2004). Fast measurement of quantization distortions in DSP algorithms. 2. 140–145. 1 indexed citations

13.

Paduart, Johan, Gábor Horváth, & J. Schoukens. (2004). Fast identification of systems with nonlinear feedback. IFAC Proceedings Volumes. 37(13). 381–385. 7 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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