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
Engineering and Technology D-index 36 Citations 5,850 157 World Ranking 3245 National Ranking 1264

Research.com Recognitions

Awards & Achievements

2019 - IEEE Fellow For contributions to modeling, optimization, and control of large-scale distributed systems

2017 - Fellow of American Physical Society (APS) Citation For profound contributions to stability and flow control, and the application of controltheoretic and optimization techniques to the analysis of wallbounded shear flows, drag reduction, and viscoelastic fluids

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Statistics
  • Algorithm

Optimal control, Mathematical optimization, Control theory, Mechanics and Convex optimization are his primary areas of study. The Optimal control study combines topics in areas such as Homotopy, Control theory, Ill posedness and Invariant. His Mathematical optimization study incorporates themes from Norm and Second-order cone programming.

His biological study spans a wide range of topics, including Optimal design, Electric power system and Platoon. He interconnects Classical mechanics and Nonlinear system in the investigation of issues within Mechanics. His Convex optimization study combines topics from a wide range of disciplines, such as Algorithm, Matrix, Linear matrix inequality and Quadratically constrained quadratic program.

His most cited work include:

  • Sparsity-promoting dynamic mode decomposition (405 citations)
  • Coherence in Large-Scale Networks: Dimension-Dependent Limitations of Local Feedback (361 citations)
  • Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers (337 citations)

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

The scientist’s investigation covers issues in Mechanics, Mathematical optimization, Turbulence, Optimal control and Control theory. His study focuses on the intersection of Mechanics and fields such as Classical mechanics with connections in the field of Hagen–Poiseuille equation. His Mathematical optimization research is multidisciplinary, relying on both Regularization, Linear system and Convex optimization.

His studies examine the connections between Convex optimization and genetics, as well as such issues in Applied mathematics, with regards to Lyapunov function. His Turbulence research includes themes of Drag, Navier–Stokes equations, Flow and Statistical physics. His studies deal with areas such as Control theory, Optimal design and Electric power system as well as Optimal control.

He most often published in these fields:

  • Mechanics (30.55%)
  • Mathematical optimization (25.82%)
  • Turbulence (19.64%)

What were the highlights of his more recent work (between 2018-2021)?

  • Mechanics (30.55%)
  • Applied mathematics (9.45%)
  • Convex function (8.00%)

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

His scientific interests lie mostly in Mechanics, Applied mathematics, Convex function, Turbulence and Boundary layer. His Laminar flow, Hypersonic speed, Flow and Open-channel flow study in the realm of Mechanics interacts with subjects such as Materials science. His research integrates issues of Exponential stability, Gradient descent, Augmented Lagrangian method, Random search and Linear-quadratic regulator in his study of Applied mathematics.

His Convex function study integrates concerns from other disciplines, such as Quadratic equation, Lipschitz continuity, Nonlinear system, Upper and lower bounds and White noise. His studies in Turbulence integrate themes in fields like Drag, Closure and Statistical physics. Mathematical optimization covers Mihailo R. Jovanovic research in Optimal control.

Between 2018 and 2021, his most popular works were:

  • The Proximal Augmented Lagrangian Method for Nonsmooth Composite Optimization (68 citations)
  • Reattachment streaks in hypersonic compression ramp flow: an input─output analysis (24 citations)
  • From Bypass Transition to Flow Control and Data-Driven Turbulence Modeling: An Input–Output Viewpoint (22 citations)

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

  • Quantum mechanics
  • Statistics
  • Algorithm

His main research concerns Applied mathematics, Convex function, Linear-quadratic regulator, Gradient descent and Convexity. Mihailo R. Jovanovic has included themes like Optimization problem, Exponential stability and Augmented Lagrangian method in his Applied mathematics study. The concepts of his Convex function study are interwoven with issues in White noise, Convex optimization, Lipschitz continuity and Nonlinear system.

His Linear-quadratic regulator study deals with the bigger picture of Optimal control. He integrates many fields, such as Convexity and Mathematical optimization, in his works. In his research, he undertakes multidisciplinary study on Mathematical optimization and Graph.

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

Sparsity-promoting dynamic mode decomposition

Mihailo R. Jovanović;Peter J. Schmid;Joseph W. Nichols.
Physics of Fluids (2014)

501 Citations

Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers

Fu Lin;Makan Fardad;Mihailo R. Jovanovic.
IEEE Transactions on Automatic Control (2013)

415 Citations

Coherence in Large-Scale Networks: Dimension-Dependent Limitations of Local Feedback

B. Bamieh;M. R. Jovanovic;P. Mitra;S. Patterson.
IEEE Transactions on Automatic Control (2012)

373 Citations

Componentwise energy amplification in channel flows

Mihailo R. Jovanović;Bassam Bamieh.
Journal of Fluid Mechanics (2005)

319 Citations

Sparsity-Promoting Optimal Wide-Area Control of Power Networks

Florian Dorfler;Mihailo R. Jovanovic;Michael Chertkov;Francesco Bullo.
IEEE Transactions on Power Systems (2014)

204 Citations

Augmented Lagrangian Approach to Design of Structured Optimal State Feedback Gains

Fu Lin;M. Fardad;M. R. Jovanovic.
IEEE Transactions on Automatic Control (2011)

188 Citations

On the ill-posedness of certain vehicular platoon control problems

M.R. Jovanovic;B. Bamieh.
conference on decision and control (2004)

184 Citations

Optimal Control of Vehicular Formations With Nearest Neighbor Interactions

Fu Lin;Makan Fardad;Mihailo R. Jovanovic.
IEEE Transactions on Automatic Control (2012)

183 Citations

Algorithms for Leader Selection in Stochastically Forced Consensus Networks

Fu Lin;Makan Fardad;Mihailo R. Jovanovic.
IEEE Transactions on Automatic Control (2014)

133 Citations

Sparsity-promoting optimal control for a class of distributed systems

Makan Fardad;Fu Lin;Mihailo R. Jovanovic.
american control conference (2011)

128 Citations

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