Johan Paduart

432 citations
13 papers · 310 · h-index 6

Impact in

Papers in

Johan Paduart

12 papers receiving 304 citations

Peers

Johan Paduart
Comparison fields: 5 of 39
  • Computational Mathematics 9
  • Control and Systems Engineering 253
  • Civil and Structural Engineering 94
  • Statistical and Nonlinear Physics 37
  • Statistics, Probability and Uncertainty 20
Replace Lieve Lauwers with:
Lieve Lauwers Belgium
Ricardo J.G.B. Campello Brazil
W. Spinelli Italy
M.A.M. Ariff Malaysia
Julian Theis Germany
Rajdip Nayek India
Peter G. Hamel Germany
Yongkyu Song South Korea
K.M. Sobel United States
J.-F. Magni France
Johan Paduart relative to Lieve Lauwers Belgium Lieve Lauwers's profile →
Citations per field
00.5×1.5×
Lieve Lauwers · 1×
Citations per year

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-authors

The 11 scholars most cited alongside Johan Paduart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Johan Paduart Line = papers co-authored together Johan Paduart links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2010173
2 200949
3 201244
4 200616
5 20047
6 20066
7 20065
8
Fast Identification of systems with nonlinear feedback
20043
9 20073
10 20041
11 20071
12
Comparison of two different nonlinear state-space identification algorithms
20061
13
Nonlinear State Space Modelling of Multivariable Systems
20061

About Johan Paduart

Johan Paduart is a scholar working on Control and Systems Engineering, Civil and Structural Engineering, Computational Mechanics, Signal Processing and Statistics, Probability and Uncertainty, having authored 13 papers that have together received 310 indexed citations. Recurring topics across this work include Control Systems and Identification (11 papers), Fault Detection and Control Systems (8 papers), Structural Health Monitoring Techniques (4 papers), Advanced Adaptive Filtering Techniques (4 papers), Iterative Learning Control Systems (3 papers), Blind Source Separation Techniques (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Digital Filter Design and Implementation (1 paper). The work is most often cited by research in Computational Mathematics (9 citations), Control and Systems Engineering (253 citations), Civil and Structural Engineering (94 citations), Statistical and Nonlinear Physics (37 citations) and Statistics, Probability and Uncertainty (20 citations). Johan Paduart has collaborated with scholars based in Belgium, Hungary and Netherlands. Frequent co-authors include J. Schoukens, Rik Pintelon, Lieve Lauwers, Jan Swevers, L. Lauwers, Gerd Vandersteen, Gábor Horváth, Josse De Baerdemaeker, Jan Anthonis and Yves Rolain. Their work appears in journals such as Automatica, IEEE Transactions on Instrumentation and Measurement, Control Engineering Practice, VUBIR (Vrije Universiteit Brussel) and Lirias (KU Leuven).

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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