H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 32 Citations 7,933 244 World Ranking 4806 National Ranking 170

Overview

What is he best known for?

The fields of study he is best known for:

  • Mechanical engineering
  • Electrical engineering
  • Artificial intelligence

His scientific interests lie mostly in Domain decomposition methods, FETI, Algorithm, Finite element method and Vibration. His research integrates issues of DUAL, Singular value decomposition and Mathematical optimization in his study of Domain decomposition methods. His FETI-DP study, which is part of a larger body of work in FETI, is frequently linked to Scalability, bridging the gap between disciplines.

His study in Algorithm is interdisciplinary in nature, drawing from both Basis and Linear system. His Vibration study integrates concerns from other disciplines, such as Dynamics, Control theory and Harmonic. His work is dedicated to discovering how Substructure, Control engineering are connected with Dynamic substructuring and other disciplines.

His most cited work include:

  • Mechanical Vibrations: Theory and Application to Structural Dynamics (486 citations)
  • General Framework for Dynamic Substructuring: History, Review and Classification of Techniques (470 citations)
  • FETI‐DP: a dual–primal unified FETI method—part I: A faster alternative to the two‐level FETI method (447 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Control theory, Finite element method, Algorithm, Structural engineering and Vibration. His biological study spans a wide range of topics, including Control engineering and Robot. Within one scientific family, Daniel J. Rixen focuses on topics pertaining to Nonlinear system under Finite element method, and may sometimes address concerns connected to Applied mathematics, Model order reduction and Modal.

His Algorithm research integrates issues from Basis, Dynamic substructuring, Substructure and Domain decomposition methods. Much of his study explores Domain decomposition methods relationship to Mathematical optimization. The various areas that Daniel J. Rixen examines in his Structural engineering study include Turbine and Aeroelasticity.

He most often published in these fields:

  • Control theory (20.81%)
  • Finite element method (15.23%)
  • Algorithm (13.71%)

What were the highlights of his more recent work (between 2017-2021)?

  • Control theory (20.81%)
  • Robot (7.61%)
  • Vibration (10.66%)

In recent papers he was focusing on the following fields of study:

Daniel J. Rixen mainly investigates Control theory, Robot, Vibration, Algorithm and Nonlinear system. In Control theory, Daniel J. Rixen works on issues like Work, which are connected to Limit. A large part of his Vibration studies is devoted to Modal analysis.

His Computation study in the realm of Algorithm interacts with subjects such as Interface. His work deals with themes such as Basis, Modal, Reduction and Applied mathematics, which intersect with Nonlinear system. His Basis study which covers Differential equation that intersects with Reduction and Dynamic substructuring.

Between 2017 and 2021, his most popular works were:

  • An Autonomous and Flexible Robotic Framework for Logistics Applications (13 citations)
  • Versatile and robust bipedal walking in unknown environments: real-time collision avoidance and disturbance rejection (11 citations)
  • Dual Craig-Bampton component mode synthesis method for model order reduction of nonclassically damped linear systems (11 citations)

In his most recent research, the most cited papers focused on:

  • Mechanical engineering
  • Artificial intelligence
  • Electrical engineering

Daniel J. Rixen mainly focuses on Control theory, Robot, Dynamic substructuring, Control engineering and Modal. As part of the same scientific family, Daniel J. Rixen usually focuses on Control theory, concentrating on Modal analysis and intersecting with Mechatronics and Robotic arm. His studies deal with areas such as Transformation, Coupling, Mathematical analysis and Point as well as Dynamic substructuring.

His research in Modal focuses on subjects like Nonlinear system, which are connected to Applied mathematics, Model order reduction, Nonlinear model order reduction and Variational equation. His work in Trajectory addresses subjects such as Compensation, which are connected to disciplines such as Displacement. His Kinematics research focuses on Hexapod and how it connects with Algorithm.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Mechanical Vibrations: Theory and Application to Structural Dynamics

Michel Geradin;Daniel J. Rixen.
(1994)

1366 Citations

General Framework for Dynamic Substructuring: History, Review and Classification of Techniques

D. De Klerk;D. J. Rixen;S. N. Voormeeren.
AIAA Journal (2008)

734 Citations

FETI‐DP: a dual–primal unified FETI method—part I: A faster alternative to the two‐level FETI method

Charbel Farhat;Michel Lesoinne;Patrick LeTallec;Kendall Pierson.
International Journal for Numerical Methods in Engineering (2001)

733 Citations

Théorie des vibrations : application à la dynamique des structures

Michel Geradin;Daniel Rixen.
Published in <b>1993</b> in Paris by Masson (1993)

427 Citations

A dual Craig-Bampton method for dynamic substructuring

Daniel J. Rixen.
Journal of Computational and Applied Mathematics (2004)

286 Citations

Operational modal analysis in the presence of harmonic excitation

P. Mohanty;D.J. Rixen.
Journal of Sound and Vibration (2004)

254 Citations

A simple and efficient extension of a class of substructure based preconditioners to heterogeneous structural mechanics problems

Daniel J. Rixen;Charbel Farhat.
International Journal for Numerical Methods in Engineering (1999)

234 Citations

A comparison of model reduction techniques from structural dynamics, numerical mathematics and systems and control

B Bart Besselink;U Tabak;A Agnieszka Lutowska;van de N Nathan Wouw.
Journal of Sound and Vibration (2013)

216 Citations

General framework for transfer path analysis: History, theory and classification of techniques $

Maarten V. van der Seijs;Dennis de Klerk;Daniel J. Rixen.
Mechanical Systems and Signal Processing (2016)

214 Citations

Application of the FETI method to ASCI problems—scalability results on 1000 processors and discussion of highly heterogeneous problems

Manoj Bhardwaj;David Day;Charbel Farhat;Michel Lesoinne.
International Journal for Numerical Methods in Engineering (2000)

151 Citations

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