H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 62 Citations 23,765 247 World Ranking 551 National Ranking 244

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Computer network

Control theory, Mathematical optimization, Graph theory, Network topology and Flocking are his primary areas of study. His research in Control theory intersects with topics in Multi-agent system, Nonholonomic system and Motion control. His research investigates the link between Multi-agent system and topics such as Autonomous agent that cross with problems in Consensus dynamics, Heading, Rule-based system and Connectivity.

His studies deal with areas such as Convergence, Upper and lower bounds and Newton's method as well as Mathematical optimization. His work deals with themes such as Delay differential equation and k-nearest neighbors algorithm, which intersect with Network topology. His Flocking research is multidisciplinary, incorporating elements of Telecommunications network, Double integrator and Mobile robot.

His most cited work include:

  • Coordination of groups of mobile autonomous agents using nearest neighbor rules (7035 citations)
  • Flocking in Fixed and Switching Networks (1216 citations)
  • Stable flocking of mobile agents, part I: fixed topology (613 citations)

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

His primary areas of investigation include Mathematical optimization, Control theory, Artificial intelligence, Algorithm and Bayesian probability. His Mathematical optimization study combines topics in areas such as Convergence, Rate of convergence, Linear system and Newton's method. The study incorporates disciplines such as Time complexity and Actuator in addition to Linear system.

Many of his studies on Control theory involve topics that are commonly interrelated, such as Flocking. His Algorithm study combines topics from a wide range of disciplines, such as Estimator and Graph. His Bayesian probability research includes elements of Rational agent, Social learning, Theoretical computer science and State.

He most often published in these fields:

  • Mathematical optimization (30.00%)
  • Control theory (18.54%)
  • Artificial intelligence (10.98%)

What were the highlights of his more recent work (between 2019-2021)?

  • Social learning (6.59%)
  • Mathematical optimization (30.00%)
  • Applied mathematics (7.07%)

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

Ali Jadbabaie mostly deals with Social learning, Mathematical optimization, Applied mathematics, Artificial neural network and Discrete mathematics. The concepts of his Social learning study are interwoven with issues in Cognitive psychology, Set and Inference, Artificial intelligence. His study in the field of Submodular set function also crosses realms of A priori and a posteriori, Convexity and Ranging.

His studies examine the connections between Applied mathematics and genetics, as well as such issues in Lipschitz continuity, with regards to Newton's method, Rate of convergence, Function, Hessian matrix and Deep neural networks. His Discrete mathematics research incorporates themes from Parameter space, Empirical risk minimization and Series. His work focuses on many connections between Convergence and other disciplines, such as Generalization, that overlap with his field of interest in Affine transformation, Empirical distribution function and Theoretical computer science.

Between 2019 and 2021, his most popular works were:

  • Random Walks on Simplicial Complexes and the Normalized Hodge 1-Laplacian (44 citations)
  • Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity (41 citations)
  • Blind Community Detection From Low-Rank Excitations of a Graph Filter (22 citations)

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

  • Artificial intelligence
  • Statistics
  • Computer network

His main research concerns Algorithm, Applied mathematics, Lipschitz continuity, Convex optimization and Artificial intelligence. His Algorithm research integrates issues from Matrix, Spectral clustering, Graph and Spectral method. His studies in Applied mathematics integrate themes in fields like Hessian matrix, Deep learning, Function, Rate of convergence and Newton's method.

The Lipschitz continuity study combines topics in areas such as Optimization algorithm and Deep neural networks. His study of Convex optimization brings together topics like Underdetermined system, Laplacian matrix, Information processing, Consensus dynamics and Network topology. Ali Jadbabaie studied Artificial intelligence and Social learning that intersect with Inference.

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

Coordination of groups of mobile autonomous agents using nearest neighbor rules

A. Jadbabaie;Jie Lin;A.S. Morse.
IEEE Transactions on Automatic Control (2003)

8455 Citations

Flocking in Fixed and Switching Networks

H.G. Tanner;A. Jadbabaie;G.J. Pappas.
IEEE Transactions on Automatic Control (2007)

1545 Citations

Stable flocking of mobile agents, part I: fixed topology

H.G. Tanner;A. Jadbabaie;G.J. Pappas.
conference on decision and control (2003)

996 Citations

Stable flocking of mobile agents part I: dynamic topology

H.G. Tanner;A. Jadbabaie;G.J. Pappas.
conference on decision and control (2003)

742 Citations

A Necessary and Sufficient Condition for Consensus Over Random Networks

A. Tahbaz-Salehi;A. Jadbabaie.
IEEE Transactions on Automatic Control (2008)

497 Citations

Safety verification of hybrid systems using barrier certificates

Stephen Prajna;Ali Jadbabaie.
acm international conference hybrid systems: computation and control (2004)

464 Citations

Non-Bayesian social learning

Ali Jadbabaie;Pooya Molavi;Alvaro Sandroni;Alireza Tahbaz-Salehi.
Games and Economic Behavior (2012)

428 Citations

A Framework for Worst-Case and Stochastic Safety Verification Using Barrier Certificates

S. Prajna;A. Jadbabaie;G.J. Pappas.
IEEE Transactions on Automatic Control (2007)

375 Citations

Unconstrained receding-horizon control of nonlinear systems

A. Jadbabaie;J. Yu;J. Hauser.
IEEE Transactions on Automatic Control (2001)

349 Citations

Decentralized Control of Connectivity for Multi-Agent Systems

M.C. De Gennaro;A. Jadbabaie.
conference on decision and control (2006)

334 Citations

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