H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 50 Citations 8,971 182 World Ranking 1551 National Ranking 34

Research.com Recognitions

Awards & Achievements

2007 - Fellow of the International Federation of Automatic Control (IFAC)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Algorithm
  • Artificial intelligence

Roberto Tempo mainly investigates Randomized algorithm, Mathematical optimization, Robustness, Probabilistic logic and Control theory. His Randomized algorithm research incorporates themes from Theoretical computer science, PageRank, Probabilistic analysis of algorithms, Iterative method and Topology. His Mathematical optimization research includes elements of Convex optimization, Linear system, Exponential stability, Control theory and System identification.

His Robustness research is multidisciplinary, incorporating perspectives in Control system, Bounded function, Stability and Probabilistic method. His biological study spans a wide range of topics, including Norm, Probability density function, Sample size determination and Nonlinear system. His Control theory study integrates concerns from other disciplines, such as Extreme point and Nyquist stability criterion.

His most cited work include:

  • Randomized Algorithms for Analysis and Control of Uncertain Systems (495 citations)
  • Optimal algorithms theory for robust estimation and prediction (237 citations)
  • A tutorial on modeling and analysis of dynamic social networks. Part I (229 citations)

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

Roberto Tempo focuses on Mathematical optimization, Randomized algorithm, Probabilistic logic, Robustness and Algorithm. Roberto Tempo interconnects Convex optimization, Computational complexity theory, Estimation theory, Applied mathematics and System identification in the investigation of issues within Mathematical optimization. His studies in Randomized algorithm integrate themes in fields like Theoretical computer science, Lyapunov function, Randomized algorithms as zero-sum games, Artificial intelligence and Monte Carlo method.

The Theoretical computer science study combines topics in areas such as Distributed algorithm, Web page and Search engine. His Probabilistic logic research incorporates themes from Uncertain systems, Probabilistic-based design optimization and Nonlinear system. Roberto Tempo focuses mostly in the field of Robustness, narrowing it down to topics relating to Bounded function and, in certain cases, Norm.

He most often published in these fields:

  • Mathematical optimization (35.66%)
  • Randomized algorithm (26.22%)
  • Probabilistic logic (23.08%)

What were the highlights of his more recent work (between 2012-2021)?

  • Mathematical optimization (35.66%)
  • Probabilistic logic (23.08%)
  • Randomized algorithm (26.22%)

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

His primary areas of study are Mathematical optimization, Probabilistic logic, Randomized algorithm, Robustness and Theoretical computer science. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Convex optimization, Control theory, Nonlinear system, Sampling and Strongly connected component. His work on Probabilistic analysis of algorithms as part of general Probabilistic logic study is frequently linked to Convexity, bridging the gap between disciplines.

His Randomized algorithm study is associated with Algorithm. His biological study focuses on Robust control. His Theoretical computer science study combines topics from a wide range of disciplines, such as Social network, Asynchronous communication and Complex network.

Between 2012 and 2021, his most popular works were:

  • A tutorial on modeling and analysis of dynamic social networks. Part I (229 citations)
  • Novel Multidimensional Models of Opinion Dynamics in Social Networks (158 citations)
  • Network science on belief system dynamics under logic constraints (157 citations)

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

  • Statistics
  • Algorithm
  • Artificial intelligence

Roberto Tempo spends much of his time researching Mathematical optimization, Randomized algorithm, Social network, Robustness and Theoretical computer science. His Mathematical optimization research is multidisciplinary, relying on both Sampling, Convex function, Probabilistic logic, Convex optimization and Constraint satisfaction. His research on Randomized algorithm concerns the broader Algorithm.

The various areas that Roberto Tempo examines in his Social network study include Terminal, Multi-agent system, Gossip, Social group and Complex network. In the subject of general Robustness, his work in Robust control is often linked to Quantization, thereby combining diverse domains of study. Roberto Tempo works mostly in the field of Theoretical computer science, limiting it down to topics relating to Centrality and, in certain cases, Communications protocol, Distributed computing and Closeness.

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

Randomized Algorithms for Analysis and Control of Uncertain Systems

Roberto Tempo;Giuseppe Calafiore;Fabrizio Dabbene.
(2004)

772 Citations

Probabilistic robustness analysis: explicit bounds for the minimum number of samples

R. Tempo;E. W. Bai;F. Dabbene.
conference on decision and control (1996)

336 Citations

Optimal algorithms theory for robust estimation and prediction

M. Milanese;R. Tempo.
IEEE Transactions on Automatic Control (1985)

289 Citations

A tutorial on modeling and analysis of dynamic social networks. Part I

Anton V. Proskurnikov;Anton V. Proskurnikov;Anton V. Proskurnikov;Roberto Tempo.
Annual Reviews in Control (2017)

278 Citations

Extreme point results for robust stabilization of interval plants with first-order compensators

B.R. Barmish;C.V. Hollot;F.J. Kraus;R. Tempo.
IEEE Transactions on Automatic Control (1992)

245 Citations

Probabilistic robust design with linear quadratic regulators

Boris T. Polyak;Roberto Tempo.
Systems & Control Letters (2001)

235 Citations

Survey paper: Research on probabilistic methods for control system design

Giuseppe C. Calafiore;Fabrizio Dabbene;Roberto Tempo.
Automatica (2011)

220 Citations

Common Lyapunov functions and gradient algorithms

D. Liberzon;R. Tempo.
IEEE Transactions on Automatic Control (2004)

216 Citations

Network science on belief system dynamics under logic constraints

Noah E. Friedkin;Anton V. Proskurnikov;Anton V. Proskurnikov;Roberto Tempo;Sergey E. Parsegov.
Science (2016)

201 Citations

Novel Multidimensional Models of Opinion Dynamics in Social Networks

Sergey E. Parsegov;Anton V. Proskurnikov;Roberto Tempo;Noah E. Friedkin.
IEEE Transactions on Automatic Control (2017)

197 Citations

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