D-Index & Metrics Best Publications
Gianluigi Pillonetto

Gianluigi Pillonetto

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 32 Citations 4,425 151 World Ranking 5142 National Ranking 168

Research.com Recognitions

Awards & Achievements

2021 - IEEE Fellow For contributions to kernel-based linear system identification

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Machine learning

Gianluigi Pillonetto mainly investigates Mathematical optimization, Algorithm, System identification, Convex optimization and Interior point method. The various areas that Gianluigi Pillonetto examines in his Mathematical optimization study include Bayes estimator, Estimator, Inverse problem, Applied mathematics and Function. In his study, Gianluigi Pillonetto carries out multidisciplinary Algorithm and Gaussian process research.

Gianluigi Pillonetto has included themes like Marginal likelihood, Linear system and Kernel method in his System identification study. His biological study spans a wide range of topics, including Convex function and Newton's method. In his work, Maximum a posteriori estimation, Robust statistics, Smoothing and Sequence is strongly intertwined with Kalman filter, which is a subfield of Interior point method.

His most cited work include:

  • Survey Kernel methods in system identification, machine learning and function estimation: A survey (370 citations)
  • A new kernel-based approach for linear system identification (284 citations)
  • Prediction error identification of linear systems: A nonparametric Gaussian regression approach (160 citations)

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

His primary areas of investigation include Mathematical optimization, Algorithm, Applied mathematics, Estimator and Gaussian process. His Mathematical optimization research incorporates elements of Marginal likelihood, Kernel, Spline, Impulse response and System identification. In his research, Computational complexity theory is intimately related to Machine learning, which falls under the overarching field of System identification.

The concepts of his Algorithm study are interwoven with issues in Kalman filter, Linear system, Outlier and Variable kernel density estimation. His biological study deals with issues like Interior point method, which deal with fields such as Piecewise linear function and Convex optimization. In his research on the topic of Estimator, Multiple kernel learning is strongly related with Lasso.

He most often published in these fields:

  • Mathematical optimization (45.25%)
  • Algorithm (38.01%)
  • Applied mathematics (23.53%)

What were the highlights of his more recent work (between 2017-2021)?

  • Algorithm (38.01%)
  • Kernel (16.74%)
  • System identification (20.81%)

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

His primary areas of study are Algorithm, Kernel, System identification, Gaussian process and Applied mathematics. His study of Regularization is a part of Algorithm. His Kernel study integrates concerns from other disciplines, such as Robot, Mathematical optimization, Kriging and Identification.

His research in Mathematical optimization intersects with topics in Stochastic simulation, Hybrid system and Nonlinear system. His System identification research is multidisciplinary, incorporating perspectives in Exponential stability, Reproducing kernel Hilbert space, Hilbert space and Impulse response. His Applied mathematics research focuses on Linear system identification and how it relates to Cross-validation.

Between 2017 and 2021, his most popular works were:

  • System Identification: A Machine Learning Perspective (16 citations)
  • The quest for the right kernel in Bayesian impulse response identification: The use of OBFs (13 citations)
  • Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering (11 citations)

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

  • Statistics
  • Artificial intelligence
  • Machine learning

His main research concerns Algorithm, System identification, Reproducing kernel Hilbert space, Gaussian process and Kalman filter. His Algorithm research includes elements of Monomial, Probabilistic logic, Kernel and Marginal likelihood. His Kernel research incorporates themes from Mathematical optimization and Extended Kalman filter, Fast Kalman filter.

His System identification research includes themes of Perspective, Machine learning, Kernel embedding of distributions and Kernel principal component analysis. His work carried out in the field of Reproducing kernel Hilbert space brings together such families of science as Parametric statistics and Impulse response. His Kalman filter study also includes fields such as

  • Covariance that connect with fields like Smoothing, Convex optimization and Interior point method,
  • Cross-validation which connect with Linear system identification.

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

Survey Kernel methods in system identification, machine learning and function estimation: A survey

Gianluigi Pillonetto;Francesco Dinuzzo;Tianshi Chen;Giuseppe De Nicolao.
Automatica (2014)

561 Citations

A new kernel-based approach for linear system identification

Gianluigi Pillonetto;Giuseppe De Nicolao.
Automatica (2010)

401 Citations

Prediction error identification of linear systems: A nonparametric Gaussian regression approach

Gianluigi Pillonetto;Alessandro Chiuso;Giuseppe De Nicolao.
Automatica (2011)

205 Citations

Sensing, Compression, and Recovery for WSNs: Sparse Signal Modeling and Monitoring Framework

G. Quer;R. Masiero;G. Pillonetto;M. Rossi.
IEEE Transactions on Wireless Communications (2012)

205 Citations

A Bayesian approach to sparse dynamic network identification

Alessandro Chiuso;Gianluigi Pillonetto.
Automatica (2012)

165 Citations

System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques

Tianshi Chen;Martin S. Andersen;Lennart Ljung;Alessandro Chiuso.
IEEE Transactions on Automatic Control (2014)

125 Citations

Newton-Raphson Consensus for Distributed Convex Optimization

Damiano Varagnolo;Filippo Zanella;Angelo Cenedese;Gianluigi Pillonetto.
IEEE Transactions on Automatic Control (2016)

118 Citations

Newton-Raphson consensus for distributed convex optimization

Filippo Zanella;Damiano Varagnolo;Angelo Cenedese;Gianluigi Pillonetto.
conference on decision and control (2011)

107 Citations

Motion planning using adaptive random walks

S. Carpin;G. Pillonetto.
IEEE Transactions on Robotics (2005)

101 Citations

Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation.

Gianluigi Pillonetto;Giovanni Sparacino;Claudio Cobelli.
Bellman Prize in Mathematical Biosciences (2003)

96 Citations

Best Scientists Citing Gianluigi Pillonetto

Håkan Hjalmarsson

Håkan Hjalmarsson

Royal Institute of Technology

Publications: 46

Lennart Ljung

Lennart Ljung

Linköping University

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Claudio Cobelli

Claudio Cobelli

University of Padua

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Paul MJ Van den Hof

Paul MJ Van den Hof

Eindhoven University of Technology

Publications: 24

Alessandro Chiuso

Alessandro Chiuso

University of Padua

Publications: 23

Ruggero Carli

Ruggero Carli

University of Padua

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Karl Henrik Johansson

Karl Henrik Johansson

Royal Institute of Technology

Publications: 18

Yu Zhang

Yu Zhang

Southern University of Science and Technology

Publications: 16

Qiang Yang

Qiang Yang

Hong Kong University of Science and Technology

Publications: 15

Lihua Xie

Lihua Xie

Nanyang Technological University

Publications: 15

Giovanni Sparacino

Giovanni Sparacino

University of Padua

Publications: 14

Er-Wei Bai

Er-Wei Bai

University of Iowa

Publications: 14

Luca Schenato

Luca Schenato

University of Padua

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Sonia Martinez

Sonia Martinez

University of California, San Diego

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Sinno Jialin Pan

Sinno Jialin Pan

Nanyang Technological University

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Michel Verhaegen

Michel Verhaegen

Delft University of Technology

Publications: 11

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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