D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 9,609 266 World Ranking 2478 National Ranking 70

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Mathematical analysis

The scientist’s investigation covers issues in Control theory, Complex network, Dynamical systems theory, Network topology and Convergence. His study connects Topology and Control theory. His work deals with themes such as Exponential stability and Synchronization, which intersect with Complex network.

His Dynamical systems theory research incorporates elements of Limit cycle, Qualitative theory, Mathematical analysis and Dynamical system. His work in Limit cycle covers topics such as Generic property which are related to areas like Systems biology. His Network topology research is multidisciplinary, incorporating perspectives in Distributed computing, Platoon, Controllability, Telecommunications network and Consensus.

His most cited work include:

  • Piecewise-smooth Dynamical Systems: Theory and Applications (797 citations)
  • Controllability of complex networks via pinning. (372 citations)
  • A Yeast Synthetic Network for In Vivo Assessment of Reverse-Engineering and Modeling Approaches (326 citations)

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

Mario di Bernardo mostly deals with Control theory, Nonlinear system, Complex network, Topology and Synchronization. His study explores the link between Control theory and topics such as Control engineering that cross with problems in Control. His Nonlinear system research includes elements of Vector field and Stability.

His Complex network research includes themes of Node, Network topology, Controllability and Distributed computing. His research in Bifurcation tackles topics such as Mathematical analysis which are related to areas like Bifurcation diagram. Mario di Bernardo interconnects Dynamical systems theory and Applied mathematics in the investigation of issues within Piecewise.

He most often published in these fields:

  • Control theory (41.10%)
  • Nonlinear system (17.48%)
  • Complex network (14.42%)

What were the highlights of his more recent work (between 2018-2021)?

  • Microfluidics (8.59%)
  • Artificial intelligence (12.27%)
  • Control (9.82%)

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

Mario di Bernardo spends much of his time researching Microfluidics, Artificial intelligence, Control, Distributed computing and Electronic circuit. His work on Segmentation, Reinforcement learning and Deep learning as part of general Artificial intelligence study is frequently connected to Coupling, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His study on Distributed computing also encompasses disciplines like

  • Software deployment that intertwine with fields like Synthetic biology and Adaptation,
  • Transcription together with Inverter.

In his research on the topic of Control theory, Control theory is strongly related with Yeast. His Synchronization study combines topics in areas such as Convergence, Protocol, Vector field, Piecewise and Complex network. His study focuses on the intersection of Convergence and fields such as Network topology with connections in the field of Topology.

Between 2018 and 2021, his most popular works were:

  • A network model of Italy shows that intermittent regional strategies can alleviate the COVID-19 epidemic (39 citations)
  • Analysis and Control of Genetic Toggle Switches Subject to Periodic Multi-Input Stimulation (12 citations)
  • Tunable genetic devices through simultaneous control of transcription and translation. (12 citations)

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

  • Artificial intelligence
  • Mathematical analysis
  • Control theory

His scientific interests lie mostly in Distributed computing, Electronic circuit, Synthetic biology, Microfluidics and Control theory. His Distributed computing study integrates concerns from other disciplines, such as Variety, Software deployment and Transcription. His Synthetic biology research is multidisciplinary, incorporating elements of In silico, In vivo and Escherichia coli.

His primary area of study in Control theory is in the field of Control theory. In Control theory, Mario di Bernardo works on issues like Reset, which are connected to Synchronization. He has included themes like Nonlinear system, Controllability and Topology in his Synchronization study.

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

Piecewise-smooth Dynamical Systems: Theory and Applications

Mario Di Bernardo;C. J. Budd;Alan R. Champneys;P. Kowalczyk.
(2007)

1928 Citations

Controllability of complex networks via pinning.

Francesco Sorrentino;Mario di Bernardo;Franco Garofalo;Guanrong Chen.
Physical Review E (2007)

470 Citations

A Yeast Synthetic Network for In Vivo Assessment of Reverse-Engineering and Modeling Approaches

Irene Cantone;Lucia Marucci;Francesco Iorio;Maria Aurelia Ricci.
Cell (2009)

412 Citations

Bifurcations in Nonsmooth Dynamical Systems

Mario di Bernardo;Chris J. Budd;Alan R. Champneys;Piotr Kowalczyk.
Siam Review (2008)

409 Citations

Distributed Consensus Strategy for Platooning of Vehicles in the Presence of Time-Varying Heterogeneous Communication Delays

Mario di Bernardo;Alessandro Salvi;Stefania Santini.
IEEE Transactions on Intelligent Transportation Systems (2015)

395 Citations

Distributed Adaptive Control of Synchronization in Complex Networks

Wenwu Yu;P. DeLellis;Guanrong Chen;M. di Bernardo.
IEEE Transactions on Automatic Control (2012)

351 Citations

Criteria for global pinning-controllability of complex networks

Maurizio Porfiri;Mario Di Bernardo.
Automatica (2008)

278 Citations

Piecewise smooth dynamical systems

Alan R. Champneys;Mario di Bernardo.
Scholarpedia (2008)

226 Citations

On QUAD, Lipschitz, and Contracting Vector Fields for Consensus and Synchronization of Networks

Pietro DeLellis;Mario di Bernardo;Giovanni Russo.
IEEE Transactions on Circuits and Systems I-regular Papers (2011)

214 Citations

A comparative analysis of synthetic genetic oscillators.

Oliver Purcell;Nigel J. Savery;Claire S. Grierson;Mario di Bernardo.
Journal of the Royal Society Interface (2010)

213 Citations

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