D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mechanical and Aerospace Engineering D-index 38 Citations 8,043 109 World Ranking 630 National Ranking 284

Overview

What is he best known for?

The fields of study he is best known for:

  • Mathematical analysis
  • Artificial intelligence
  • Control theory

Clarence W. Rowley focuses on Dynamic mode decomposition, Algorithm, Nonlinear system, Mathematical analysis and Projection. His Dynamic mode decomposition research includes themes of Subspace topology and Applied mathematics. His Algorithm study combines topics from a wide range of disciplines, such as Range and Particle image velocimetry.

The concepts of his Nonlinear system study are interwoven with issues in Proper orthogonal decomposition, Linear system, Fourier transform and Linear map. His Linear map research includes elements of Flow, Operator theory and Series. His Mathematical analysis research is multidisciplinary, incorporating perspectives in Computation and Reynolds number.

His most cited work include:

  • Spectral analysis of nonlinear flows (1128 citations)
  • On dynamic mode decomposition: Theory and applications (712 citations)
  • A Data-Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (652 citations)

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

Clarence W. Rowley spends much of his time researching Mechanics, Control theory, Dynamic mode decomposition, Flow and Nonlinear system. His research on Control theory often connects related areas such as Flow control. His work deals with themes such as Algorithm, Dynamical systems theory and Applied mathematics, which intersect with Dynamic mode decomposition.

Much of his study explores Flow relationship to Mathematical analysis. He interconnects Computation and Galerkin method in the investigation of issues within Mathematical analysis. His Nonlinear system study frequently draws connections to other fields, such as Linear map.

He most often published in these fields:

  • Mechanics (27.94%)
  • Control theory (24.26%)
  • Dynamic mode decomposition (18.38%)

What were the highlights of his more recent work (between 2016-2021)?

  • Mechanics (27.94%)
  • Dynamic mode decomposition (18.38%)
  • Nonlinear system (14.71%)

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

His primary scientific interests are in Mechanics, Dynamic mode decomposition, Nonlinear system, Flow and Algorithm. His Mechanics research is multidisciplinary, relying on both Amplitude, Separation and Thrust. His Dynamic mode decomposition study incorporates themes from Dynamical systems theory, Control theory, Chaotic and Applied mathematics.

His studies in Nonlinear system integrate themes in fields like Nonlinear dimensionality reduction, Autoencoder, Linear map and Greedy algorithm. His research integrates issues of Linear system and Mathematical analysis in his study of Flow. The study incorporates disciplines such as Range, Diagonal, Fluid dynamics and Linear algebra in addition to Algorithm.

Between 2016 and 2021, his most popular works were:

  • Modal Analysis of Fluid Flows: An Overview (475 citations)
  • Model Reduction for Flow Analysis and Control (278 citations)
  • De-biasing the dynamic mode decomposition for applied Koopman spectral analysis of noisy datasets (113 citations)

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

  • Artificial intelligence
  • Control theory
  • Mathematical analysis

Clarence W. Rowley mainly investigates Dynamic mode decomposition, Flow, Algorithm, Mechanics and Control theory. His studies deal with areas such as Subspace topology, Dynamical systems theory, Applied mathematics and Nonlinear system as well as Dynamic mode decomposition. His work in the fields of Nonlinear dynamical systems overlaps with other areas such as High dimensional systems.

The Flow study which covers Linear system that intersects with Linear map, Dimension, State and Computation. His work on Singular value decomposition as part of general Algorithm research is often related to Modal analysis and Eigensystem realization algorithm, thus linking different fields of science. His work carried out in the field of Mechanics brings together such families of science as Torque and Thrust.

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

Spectral analysis of nonlinear flows

Clarence Rowley;Igor Mezic;Shervin Bagheri;Philipp Schlatter.
Journal of Fluid Mechanics (2009)

1497 Citations

MODEL REDUCTION FOR FLUIDS, USING BALANCED PROPER ORTHOGONAL DECOMPOSITION

Clarence W. Rowley.
International Journal of Bifurcation and Chaos (2005)

923 Citations

On dynamic mode decomposition: Theory and applications

Jonathan H. Tu;Clarence Worth Rowley;Dirk M. Luchtenburg;Steven L. Brunton.
ACM Journal of Computer Documentation (2014)

848 Citations

A Data-Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition

Matthew O. Williams;Ioannis G. Kevrekidis;Clarence W. Rowley.
Journal of Nonlinear Science (2015)

712 Citations

Model reduction for compressible flows using POD and Galerkin projection

Clarence W. Rowley;Tim Colonius;Richard M. Murray.
Physica D: Nonlinear Phenomena (2004)

655 Citations

Modal Analysis of Fluid Flows: An Overview

Kunihiko Taira;Steven L. Brunton;Scott T. M. Dawson;Clarence W. Rowley.
AIAA Journal (2017)

612 Citations

Variants of Dynamic Mode Decomposition: Boundary Condition, Koopman, and Fourier Analyses

Kevin K. Chen;Jonathan H. Tu;Clarence W. Rowley.
Journal of Nonlinear Science (2012)

541 Citations

On self-sustained oscillations in two-dimensional compressible flow over rectangular cavities

Clarence Worth Rowley;Tim Colonius;Amit J. Basu.
Journal of Fluid Mechanics (2002)

538 Citations

Dynamics and control of high-reynolds-number flow over open cavities

Clarence Worth Rowley;David R. Williams.
Annual Review of Fluid Mechanics (2006)

376 Citations

Maximum Power Point Tracking for Photovoltaic Optimization Using Ripple-Based Extremum Seeking Control

Steven L Brunton;Clarence W Rowley;Sanjeev R Kulkarni;Charles Clarkson.
IEEE Transactions on Power Electronics (2010)

371 Citations

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