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
Electronics and Electrical Engineering D-index 42 Citations 11,626 166 World Ranking 1686 National Ranking 46

Research.com Recognitions

Awards & Achievements

2017 - IEEE Fellow For contributions to networked and multi-agent control systems


What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Electrical engineering

Luca Schenato mainly investigates Control theory, Wireless sensor network, Network packet, Kalman filter and Mathematical optimization. He is interested in Optimal control, which is a branch of Control theory. The Wireless sensor network study combines topics in areas such as Synchronizing, Hierarchical control system, Key distribution in wireless sensor networks, Real-time computing and Sensor array.

Luca Schenato works on Network packet which deals in particular with Packet loss. His Kalman filter research is multidisciplinary, incorporating elements of Covariance and Theoretical computer science. His Mathematical optimization study incorporates themes from Dynamical system, Algorithm design and Newton's method.

His most cited work include:

  • Kalman filtering with intermittent observations (1924 citations)
  • Foundations of Control and Estimation Over Lossy Networks (1107 citations)
  • Distributed Kalman filtering based on consensus strategies (413 citations)

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

Luca Schenato mostly deals with Control theory, Mathematical optimization, Optics, Network packet and Optical fiber. His research ties Packet loss and Control theory together. The concepts of his Mathematical optimization study are interwoven with issues in Algorithm, Estimator, Newton's method and Asynchronous communication.

His Estimator study integrates concerns from other disciplines, such as Regularization, Wireless sensor network and Kernel. His research in Network packet focuses on subjects like Real-time computing, which are connected to Sensor node. His biological study spans a wide range of topics, including Acoustics and Landslide.

He most often published in these fields:

  • Control theory (18.33%)
  • Mathematical optimization (14.67%)
  • Optics (14.00%)

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

  • Real-time computing (10.33%)
  • Control (3.33%)
  • Mathematical optimization (14.67%)

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

Real-time computing, Control, Mathematical optimization, Network packet and Computation are his primary areas of study. His studies deal with areas such as Estimator and Smart grid as well as Real-time computing. His Control study also includes

  • Decision problem which intersects with area such as Sensor selection,
  • Robot kinematics which is related to area like Kalman filter.

His work deals with themes such as Covariance, Asynchronous communication and Fast Kalman filter, which intersect with Mathematical optimization. His work focuses on many connections between Network packet and other disciplines, such as Transmission, that overlap with his field of interest in Single antenna interference cancellation, Mean squared error, Noise and Linear-quadratic-Gaussian control. Luca Schenato incorporates Performance metric and Control theory in his research.

Between 2019 and 2021, his most popular works were:

  • Asynchronous Distributed Optimization over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence (12 citations)
  • Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering (11 citations)
  • Partition-based multi-agent optimization in the presence of lossy and asynchronous communication (5 citations)

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

  • Statistics
  • Artificial intelligence
  • Electrical engineering

Luca Schenato mainly focuses on Mathematical optimization, Edge computing, Real-time computing, Node and Computation. Luca Schenato has researched Mathematical optimization in several fields, including Kernel, Covariance, Asynchronous communication and Extended Kalman filter. His studies in Asynchronous communication integrate themes in fields like Lossy compression, Exponential stability, Lyapunov function and Gradient method.

His work carried out in the field of Real-time computing brings together such families of science as Telecommunications network, Optimal estimation, Wireless sensor network and Latency. Luca Schenato has included themes like Rate of convergence, Upper and lower bounds, Operator theory and Convergence of random variables in his Node study. His Key research focuses on Smart grid and how it relates to Jacobi method.

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

Kalman filtering with intermittent observations

B. Sinopoli;L. Schenato;M. Franceschetti;K. Poolla.
IEEE Transactions on Automatic Control (2004)

2468 Citations

Foundations of Control and Estimation Over Lossy Networks

L. Schenato;B. Sinopoli;M. Franceschetti;K. Poolla.
Proceedings of the IEEE (2007)

1299 Citations

Distributed Kalman filtering based on consensus strategies

R. Carli;A. Chiuso;L. Schenato;S. Zampieri.
IEEE Journal on Selected Areas in Communications (2008)

565 Citations

Distributed control applications within sensor networks

B. Sinopoli;C. Sharp;L. Schenato;S. Schaffert.
Proceedings of the IEEE (2003)

486 Citations

Optimal Estimation in Networked Control Systems Subject to Random Delay and Packet Drop

L. Schenato.
IEEE Transactions on Automatic Control (2008)

467 Citations

Average TimeSynch

Luca Schenato;Federico Fiorentin.
Automatica (2011)

344 Citations

Flapping flight for biomimetic robotic insects: part I-system modeling

Xinyan Deng;L. Schenato;Wei Chung Wu;S.S. Sastry.
IEEE Transactions on Robotics (2006)

319 Citations

To Zero or to Hold Control Inputs With Lossy Links

L. Schenato.
IEEE Transactions on Automatic Control (2009)

306 Citations

Flapping flight for biomimetic robotic insects: part II-flight control design

Xinyan Deng;L. Schenato;S.S. Sastry.
IEEE Transactions on Robotics (2006)

260 Citations

A distributed consensus protocol for clock synchronization in wireless sensor network

L. Schenato;G. Gamba.
conference on decision and control (2007)

256 Citations

Best Scientists Citing Luca Schenato

Ling Shi

Ling Shi

Hong Kong University of Science and Technology

Publications: 95

Daniel E. Quevedo

Daniel E. Quevedo

Queensland University of Technology

Publications: 94

Lihua Xie

Lihua Xie

Nanyang Technological University

Publications: 92

Karl Henrik Johansson

Karl Henrik Johansson

Royal Institute of Technology

Publications: 86

Minyue Fu

Minyue Fu

University of Newcastle Australia

Publications: 71

Zidong Wang

Zidong Wang

Brunel University London

Publications: 70

Richard M. Murray

Richard M. Murray

California Institute of Technology

Publications: 55

Vijay Gupta

Vijay Gupta

University of Notre Dame

Publications: 49

Huanshui Zhang

Huanshui Zhang

Shandong University

Publications: 45

Peng Cheng

Peng Cheng

Zhejiang University

Publications: 43

Bruno Sinopoli

Bruno Sinopoli

Washington University in St. Louis

Publications: 41

Hideaki Ishii

Hideaki Ishii

Tokyo Institute of Technology

Publications: 39

George J. Pappas

George J. Pappas

University of Pennsylvania

Publications: 37

Wen-An Zhang

Wen-An Zhang

Zhejiang University of Technology

Publications: 31

Xinping Guan

Xinping Guan

Shanghai Jiao Tong University

Publications: 29

Francesco Bullo

Francesco Bullo

University of California, Santa Barbara

Publications: 27

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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