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 34 Citations 7,708 167 World Ranking 3979 National Ranking 128

Research.com Recognitions

Awards & Achievements

2017 - Fellow of the International Federation of Automatic Control (IFAC)

2012 - IEEE Fellow For contributions to stochastic and randomized methods in systems and control

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Algorithm

His primary areas of study are Mathematical optimization, Control theory, Scenario optimization, System identification and Control engineering. His research integrates issues of Randomized algorithm and Robustness in his study of Mathematical optimization. His study in the field of Stochastic control is also linked to topics like Colored.

He carries out multidisciplinary research, doing studies in Scenario optimization and Convex optimization. His System identification study combines topics in areas such as Algorithm, Linear system, Applied mathematics and Confidence interval. His work in the fields of Control theory overlaps with other areas such as Direct method.

His most cited work include:

  • The scenario approach to robust control design (777 citations)
  • Brief Virtual reference feedback tuning: a direct method for the design of feedback controllers (668 citations)
  • Uncertain convex programs: randomized solutions and confidence levels (493 citations)

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

Marco C. Campi mainly investigates Mathematical optimization, Control theory, System identification, Applied mathematics and Algorithm. His work on Scenario optimization as part of general Mathematical optimization research is frequently linked to Convex optimization, bridging the gap between disciplines. His research in Scenario optimization focuses on subjects like Optimization problem, which are connected to Stochastic programming.

His Control theory research focuses on Control engineering and how it relates to Control and Transfer function. His studies examine the connections between System identification and genetics, as well as such issues in Data point, with regards to Confidence region. His research in the fields of Recursive least squares filter and Covariance matrix overlaps with other disciplines such as Scheme.

He most often published in these fields:

  • Mathematical optimization (45.02%)
  • Control theory (27.96%)
  • System identification (27.96%)

What were the highlights of his more recent work (between 2013-2021)?

  • Mathematical optimization (45.02%)
  • System identification (27.96%)
  • Scenario optimization (10.43%)

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

The scientist’s investigation covers issues in Mathematical optimization, System identification, Scenario optimization, Robustness and Applied mathematics. His Mathematical optimization study incorporates themes from Sample and Realization. His System identification research is multidisciplinary, relying on both Algorithm and Data point.

Marco C. Campi has researched Scenario optimization in several fields, including Optimization problem, Multi-swarm optimization and Leverage. His studies in Robustness integrate themes in fields like Machine learning and Probably approximately correct learning. His work is dedicated to discovering how Applied mathematics, Strong consistency are connected with Instrumental variable and other disciplines.

Between 2013 and 2021, his most popular works were:

  • Wait-and-judge scenario optimization (68 citations)
  • A General Scenario Theory for Nonconvex Optimization and Decision Making (51 citations)
  • Advanced optimization methods for power systems (44 citations)

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

  • Statistics
  • Artificial intelligence
  • Machine learning

Mathematical optimization, Scenario optimization, Robustness, Probabilistic-based design optimization and Stochastic programming are his primary areas of study. His Mathematical optimization study frequently involves adjacent topics like Realization. As part of one scientific family, Marco C. Campi deals mainly with the area of Scenario optimization, narrowing it down to issues related to the Multi-swarm optimization, and often Randomized algorithm and Fast algorithm.

His work focuses on many connections between Randomized algorithm and other disciplines, such as Sample, that overlap with his field of interest in System identification. His study in Robustness intersects with areas of studies such as Convex optimization, Software and Numerical analysis. His work deals with themes such as Robust optimization, Industrial engineering and Engineering optimization, which intersect with Probabilistic-based design optimization.

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

The scenario approach to robust control design

G.C. Calafiore;M.C. Campi.
IEEE Transactions on Automatic Control (2006)

1000 Citations

Brief Virtual reference feedback tuning: a direct method for the design of feedback controllers

M. C. Campi;A. Lecchini;S. M. Savaresi.
Automatica (2002)

948 Citations

Uncertain convex programs: randomized solutions and confidence levels

Giuseppe Carlo Calafiore;Marco C. Campi.
Mathematical Programming (2005)

766 Citations

The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs

M. C. Campi;S. Garatti.
Siam Journal on Optimization (2008)

537 Citations

The scenario approach for systems and control design

Marco C. Campi;Simone Garatti;Maria Prandini.
Annual Reviews in Control (2008)

361 Citations

A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality

Marco C. Campi;Simone Garatti.
Journal of Optimization Theory and Applications (2011)

360 Citations

Direct nonlinear control design: the virtual reference feedback tuning (VRFT) approach

M.C. Campi;S.M. Savaresi.
IEEE Transactions on Automatic Control (2006)

261 Citations

Virtual reference feedback tuning for two degree of freedom controllers

A. Lecchini;MC Campi;SM Savaresi.
International Journal of Adaptive Control and Signal Processing (2002)

159 Citations

Guaranteed non-asymptotic confidence regions in system identification

M. C. Campi;E. Weyer.
Automatica (2005)

114 Citations

Convergence and exponential convergence of identification algorithms with directional forgetting factor

S. Bittanti;P. Bolzern;M. Campi.
Automatica (1990)

111 Citations

Best Scientists Citing Marco C. Campi

Sergio M. Savaresi

Sergio M. Savaresi

Politecnico di Milano

Publications: 91

John Lygeros

John Lygeros

ETH Zurich

Publications: 58

Radu-Emil Precup

Radu-Emil Precup

Polytechnic University of Timişoara

Publications: 47

Giuseppe Carlo Calafiore

Giuseppe Carlo Calafiore

Polytechnic University of Turin

Publications: 44

Roberto Tempo

Roberto Tempo

Polytechnic University of Turin

Publications: 43

Alireza Karimi

Alireza Karimi

École Polytechnique Fédérale de Lausanne

Publications: 35

Goran Andersson

Goran Andersson

ETH Zurich

Publications: 30

Zhongsheng Hou

Zhongsheng Hou

Qingdao University

Publications: 24

Håkan Hjalmarsson

Håkan Hjalmarsson

Royal Institute of Technology

Publications: 24

Sergio Bittanti

Sergio Bittanti

Politecnico di Milano

Publications: 23

Vicenç Puig

Vicenç Puig

Universitat Politècnica de Catalunya

Publications: 22

Emil M. Petriu

Emil M. Petriu

University of Ottawa

Publications: 22

Teodoro Alamo

Teodoro Alamo

University of Seville

Publications: 20

Stefan Preitl

Stefan Preitl

Polytechnic University of Timişoara

Publications: 18

Frank Allgöwer

Frank Allgöwer

University of Stuttgart

Publications: 18

Michel Gevers

Michel Gevers

Université Catholique de Louvain

Publications: 18

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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