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- Ginestra Bianconi

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
57
Citations
15,452
208
World Ranking
1257
National Ranking
84

- Quantum mechanics
- Statistics
- Mathematical analysis

Ginestra Bianconi mainly focuses on Complex network, Complex system, Statistical physics, Theoretical computer science and Degree distribution. Ginestra Bianconi interconnects Centrality, Curse of dimensionality, Quantum gravity, Entropy and Topology in the investigation of issues within Complex network. His Complex system research includes elements of Multiplex, Network theory, Structure, Node and Data science.

Ginestra Bianconi combines subjects such as Discrete mathematics, Network topology and Degree with his study of Statistical physics. His biological study spans a wide range of topics, including Cover, Node, Inference, Evolving networks and Biological network. In his work, Tetrahedron is strongly intertwined with Pure mathematics, which is a subfield of Degree distribution.

- The structure and dynamics of multilayer networks. (1914 citations)
- Competition and multiscaling in evolving networks (770 citations)
- Theory of rumour spreading in complex social networks (514 citations)

His main research concerns Statistical physics, Complex network, Topology, Phase transition and Complex system. His work deals with themes such as Function, Network dynamics, Percolation and Random graph, which intersect with Statistical physics. His Complex network research includes themes of Network topology, Information theory and Theoretical computer science.

The various areas that he examines in his Theoretical computer science study include Space and Biological network. His Topology research incorporates themes from Node, Multiplex and Interdependent networks, Robustness. His Complex system research incorporates elements of Simplicial complex, Pure mathematics, Network model, Network theory and Structure.

- Statistical physics (29.07%)
- Complex network (27.34%)
- Topology (19.38%)

- Topology (19.38%)
- Pure mathematics (8.30%)
- Statistical physics (29.07%)

His primary scientific interests are in Topology, Pure mathematics, Statistical physics, Complex network and Topology. He interconnects Network topology, Multiplex, Network science and Robustness in the investigation of issues within Topology. His Pure mathematics research includes elements of Renormalization group and Order.

His Statistical physics research includes themes of Range, Phase transition and Function. His research integrates issues of Theoretical computer science, Principle of maximum entropy, Distribution, Information theory and Space in his study of Complex network. Ginestra Bianconi has researched Topology in several fields, including Clique, Node, Complex system, Betti number and Clustering coefficient.

- Explosive higher-order Kuramoto dynamics on simplicial complexes (42 citations)
- Synchronization in network geometries with finite spectral dimension. (33 citations)
- Beyond the clustering coefficient: A topological analysis of node neighbourhoods in complex networks (21 citations)

- Quantum mechanics
- Statistics
- Mathematical analysis

Ginestra Bianconi mostly deals with Renormalization group, Epidemic model, Statistics, Complex network and Complex system. His study on Renormalization group also encompasses disciplines like

- Network dynamics and related Random graph, Mathematical physics and Spectral dimension,
- Universality which intersects with area such as Phase transition, Fractal, Probability and statistics and Farey sequence. The study incorporates disciplines such as Clique and Topology in addition to Complex network.

His Topology research is multidisciplinary, incorporating perspectives in Node, Betti number, Clustering coefficient and Network science. His Complex system study combines topics in areas such as Structure and Simplicial complex, Pure mathematics. In his study, he carries out multidisciplinary Kuramoto model and Statistical physics research.

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.

The structure and dynamics of multilayer networks

S. Boccaletti;G. Bianconi;R. Criado;R. Criado;C.I. del Genio.

Physics Reports **(2014)**

2772 Citations

Competition and multiscaling in evolving networks

G. Bianconi;A.-L. Barabási.

EPL **(2001)**

1270 Citations

Bose-Einstein Condensation in Complex Networks

Ginestra Bianconi;Albert-László Barabási.

Physical Review Letters **(2001)**

972 Citations

Theory of rumour spreading in complex social networks

Maziar M. Nekovee;Yamir Moreno;Ginestra Bianconi;Matteo Marsili.

Physica A-statistical Mechanics and Its Applications **(2007)**

889 Citations

Statistical mechanics of multiplex networks: entropy and overlap.

Ginestra Bianconi.

Physical Review E **(2013)**

371 Citations

Entropy measures for networks: toward an information theory of complex topologies.

Kartik Anand;Ginestra Bianconi.

Physical Review E **(2009)**

300 Citations

Growing Multiplex Networks

Vincenzo Nicosia;Ginestra Bianconi;Vito Latora;Vito Latora;Marc Barthelemy.

Physical Review Letters **(2013)**

293 Citations

Inhomogeneity of charge-density-wave order and quenched disorder in a high-Tc superconductor

G. Campi;A. Bianconi;N. Poccia;G. Bianconi.

Nature **(2015)**

289 Citations

The entropy of randomized network ensembles

Ginestra Bianconi.

EPL **(2008)**

239 Citations

Assessing the relevance of node features for network structure

Ginestra Bianconi;Paolo Pin;Matteo Marsili.

Proceedings of the National Academy of Sciences of the United States of America **(2009)**

229 Citations

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