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D-Index & Metrics

Engineering and Technology

D-Index
31
Citations
6303
World Ranking
9640
National Ranking
111

Overview

Julien M. Hendrickx is affiliated with the Université Catholique de Louvain in Belgium. Their research primarily spans the domain of computer science, with significant contributions to subfields including computer networks and communications, artificial intelligence, statistical and nonlinear physics, molecular biology, and control and systems engineering.

Among the topics frequently addressed in their work are distributed control multi-agent systems, optimization and search problems, stochastic gradient optimization techniques, sparse and compressive sensing techniques, opinion dynamics and social influence, complex network analysis techniques, and advanced optimization algorithms research.

Hendrickx has published extensively, with a notable presence in venues such as arXiv (Cornell University), IEEE Transactions on Automatic Control, the IEEE Conference on Decision and Control (CDC), and IFAC-PapersOnLine. Key recent papers include:

  • 2-D Directed Formation Control Based on Bipolar Coordinates, 2022, IEEE Transactions on Automatic Control
  • Micro-foundation of opinion dynamics: Rich consequences of the weighted-median mechanism, 2022, Physical Review Research
  • Multiagent Persistent Monitoring of Targets With Uncertain States, 2022, IEEE Transactions on Automatic Control
  • Multi-Agent Infinite Horizon Persistent Monitoring of Targets with Uncertain States in Multi-Dimensional Environments, 2020, IFAC-PapersOnLine
  • Random Coordinate Descent for Resource Allocation in Open Multiagent Systems, 2024, IEEE Transactions on Automatic Control

Frequent collaborators in Hendrickx's research network include Renato Vizuete, Charles Monnoyer de Galland, Sébastien Colla, François Glineur, and Paolo Frasca. The consistent partnership with these coauthors is evident across multiple publications, reflecting a collaborative research approach.

Best Publications

  • Convergence in Multiagent Coordination, Consensus, and Flocking

    V.D. Blondel;J.M. Hendrickx;A. Olshevsky;J.N. Tsitsiklis

  • Estimating the success of re-identifications in incomplete datasets using generative models

    Luc Rocher;Luc Rocher;Julien M. Hendrickx;Yves-Alexandre de Montjoye

  • Rigid graph control architectures for autonomous formations

    B. Anderson;Changbin Yu;B. Fidan;J. Hendrickx

  • On Krause's Multi-Agent Consensus Model With State-Dependent Connectivity

    V.D. Blondel;J.M. Hendrickx;J.N. Tsitsiklis

  • Directed graphs for the analysis of rigidity and persistence in autonomous agent systems

    Julien M. Hendrickx;Brian D. O. Anderson;Jean-Charles Delvenne;Vincent D. Blondel

  • Convergence of Type-Symmetric and Cut-Balanced Consensus Seeking Systems

    J. M. Hendrickx;J. N. Tsitsiklis

  • Three and higher dimensional autonomous formations: Rigidity, persistence and structural persistence

    Changbin Yu;Julien M. Hendrickx;Barış Fidan;Brian D. O. Anderson

  • Continuous-Time Average-Preserving Opinion Dynamics with Opinion-Dependent Communications

    Vincent D. Blondel;Julien M. Hendrickx;John N. Tsitsiklis

  • Smooth strongly convex interpolation and exact worst-case performance of first-order methods

    Adrien B. Taylor;Julien M. Hendrickx;François Glineur

  • Efficient Computations of a Security Index for False Data Attacks in Power Networks

    Julien M. Hendrickx;Karl Henrik Johansson;Raphaël M. Jungers;Henrik Sandberg

  • Matrix $p$-Norms Are NP-Hard to Approximate If $p eq1,2,\infty$

    Julien M. Hendrickx;Alex Olshevsky

  • A lifting approach to models of opinion dynamics with antagonisms

    Julien M. Hendrickx

  • Identifiability of Dynamical Networks With Partial Node Measurements

    Julien M. Hendrickx;Michel Gevers;Alexandre S. Bazanella

  • Graph diameter, eigenvalues, and minimum-time consensus

    Julien M. Hendrickx;Raphaël M. Jungers;Alexander Olshevsky;Guillaume Vankeerberghen

  • Convergence of different linear and non-linear Vicsek models

    Julien Hendrickx;Vincent Blondel

  • A generic online acceleration scheme for optimization algorithms via relaxation and inertia

    Franck Iutzeler;Julien M. Hendrickx

  • Formation Reorganization by Primitive Operations on Directed Graphs

    J.M. Hendrickx;B. Fidan;Changbin Yu;B.D.O. Anderson

  • Finite-Time Consensus Using Stochastic Matrices With Positive Diagonals

    Julien M. Hendrickx;Guodong Shi;Karl H. Johansson

  • Graphs and Networks for the Analysis of Autonomous Agent Systems

    Julien M. Hendrickx

  • Exact worst-case performance of first-order methods for composite convex optimization

    Adrien B. Taylor;Julien M. Hendrickx;François Glineur

  • Distributed Anonymous Discrete Function Computation

    J. M. Hendrickx;A. Olshevsky;J. N. Tsitsiklis

  • Exact Worst-Case Convergence Rates of the Proximal Gradient Method for Composite Convex Minimization

    Adrien B. Taylor;Julien M. Hendrickx;François Glineur

  • Distance distribution in random graphs and application to network exploration.

    Vincent D. Blondel;Jean-Loup Guillaume;Julien M. Hendrickx;Raphaël M. Jungers

  • On the 2R conjecture for multi-agent systems

    Vincent D. Blondel;Julien M. Hendrickx;John N. Tsitsiklis

Frequent Co-Authors

Vincent D. Blondel
Vincent D. Blondel Université Catholique de Louvain
Alex Olshevsky
Alex Olshevsky Boston University
Brian D. O. Anderson
Brian D. O. Anderson Australian National University
Baris Fidan
Baris Fidan University of Waterloo
Changbin Yu
Changbin Yu Australian National University
Christos G. Cassandras
Christos G. Cassandras Boston University
Pierre-Antoine Absil
Pierre-Antoine Absil Université Catholique de Louvain
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology
Philippe H. Geubelle
Philippe H. Geubelle University of Illinois at Urbana-Champaign
Nancy R. Sottos
Nancy R. Sottos University of Illinois at Urbana-Champaign

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