D-Index & Metrics Best Publications
Engineering and Technology
UK
2022

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
Engineering and Technology D-index 82 Citations 41,855 238 World Ranking 182 National Ranking 13

Research.com Recognitions

Awards & Achievements

2022 - Research.com Engineering and Technology in United Kingdom Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Statistics
  • Artificial intelligence

Vito Latora mainly investigates Theoretical computer science, Complex network, Complex system, Evolving networks and Centrality. His Theoretical computer science study combines topics in areas such as Graph, Measure, Enhanced Data Rates for GSM Evolution and Clustering coefficient, Cluster analysis. Vito Latora works in the field of Complex network, namely Interdependent networks.

Vito Latora interconnects Topology, Network dynamics, Human dynamics and Scale-free network in the investigation of issues within Interdependent networks. His Complex system research incorporates themes from Multiplex, Planar graph, Social system, Node and Data science. His Evolving networks research integrates issues from Artificial neural network, Small-world network and Curse of dimensionality.

His most cited work include:

  • Complex networks: Structure and dynamics (7818 citations)
  • Complex networks: Structure and dynamics (7818 citations)
  • Efficient Behavior of Small-World Networks (3006 citations)

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

His main research concerns Complex network, Statistical physics, Theoretical computer science, Centrality and Complex system. His research investigates the connection between Complex network and topics such as Random walk that intersect with issues in Entropy rate and Nonlinear system. The study incorporates disciplines such as Phase transition, Hamiltonian and Mean field theory in addition to Statistical physics.

In his study, Data science, Motion and Group is strongly linked to Social system, which falls under the umbrella field of Theoretical computer science. His biological study spans a wide range of topics, including Regional science, Data mining, Network analysis and Social network. He works mostly in the field of Complex system, limiting it down to topics relating to Multiplex and, in certain cases, Layer, as a part of the same area of interest.

He most often published in these fields:

  • Complex network (44.89%)
  • Statistical physics (30.06%)
  • Theoretical computer science (28.39%)

What were the highlights of his more recent work (between 2015-2021)?

  • Complex network (44.89%)
  • Topology (15.03%)
  • Social system (13.99%)

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

His scientific interests lie mostly in Complex network, Topology, Social system, Theoretical computer science and Data science. His Complex network study incorporates themes from Distributed computing, Graph, Random walk and Nonlinear system. The study incorporates disciplines such as Stability, Set and Trajectory in addition to Topology.

His research on Social system also deals with topics like

  • Public goods game that intertwine with fields like Replicator equation, Evolutionary dynamics, Social group and Group,
  • Pairwise comparison which connect with Complex system,
  • Centrality most often made with reference to Social network. In Theoretical computer science, he works on issues like Structure, which are connected to Variety and Multiplex. His Data science research is multidisciplinary, incorporating elements of Exploit and Network science.

Between 2015 and 2021, his most popular works were:

  • Complex Networks: Principles, Methods and Applications (159 citations)
  • Simplicial models of social contagion (128 citations)
  • Networks beyond pairwise interactions: Structure and dynamics (111 citations)

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

  • Quantum mechanics
  • Statistics
  • Artificial intelligence

Vito Latora spends much of his time researching Multiplex, Data science, Social system, Theoretical computer science and Layer. His studies deal with areas such as Human Connectome, Core, Neuroscience and Measure as well as Multiplex. His research investigates the link between Data science and topics such as Complex system that cross with problems in The Internet and Graph.

His studies in Theoretical computer science integrate themes in fields like Topology, Social dynamics, Random walk and Pairwise comparison. Vito Latora focuses mostly in the field of Random walk, narrowing it down to topics relating to Coevolution and, in certain cases, Network topology, Enhanced Data Rates for GSM Evolution, Node and Network dynamics. His study explores the link between Network topology and topics such as Synchronization that cross with problems in Complex network.

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

Complex networks: Structure and dynamics

S. Boccaletti;V. Latora;V. Latora;Y. Moreno;M. Chavez.
Physics Reports (2006)

11791 Citations

Efficient Behavior of Small-World Networks

Vito Latora;Vito Latora;Massimo Marchiori;Massimo Marchiori.
Physical Review Letters (2001)

4772 Citations

Model for cascading failures in complex networks

Paolo Crucitti;Vito Latora;Massimo Marchiori.
Physical Review E (2004)

1275 Citations

Economic Small-World Behavior in Weighted Networks

Vito Latora;Massimo Marchiori.
European Physical Journal B (2003)

866 Citations

Modeling cascading failures in the North American power grid

R. Kinney;P. Crucitti;R. Albert;V. Latora.
European Physical Journal B (2005)

863 Citations

The network analysis of urban streets: A dual approach

Sergio Porta;Paolo Crucitti;Vito Latora.
Physica A-statistical Mechanics and Its Applications (2006)

860 Citations

Is the Boston subway a small-world network ?

Vito Latora;Massimo Marchiori.
Physica A-statistical Mechanics and Its Applications (2002)

835 Citations

The Network Analysis of Urban Streets: A Primal Approach:

Sergio Porta;Paolo Crucitti;Vito Latora.
Environment and Planning B-planning & Design (2006)

805 Citations

Centrality measures in spatial networks of urban streets

Paolo Crucitti;Vito Latora;Sergio Porta.
Physical Review E (2006)

796 Citations

Error and attack tolerance of complex networks

Paolo Crucitti;Vito Latora;Massimo Marchiori;Andrea Rapisarda.
Physica A-statistical Mechanics and Its Applications (2004)

629 Citations

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