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 35 Citations 9,549 104 World Ranking 3363 National Ranking 98

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Artificial intelligence
  • Linguistics

The scientist’s investigation covers issues in Statistical physics, Brownian motion, Probability distribution, Granular material and Thermodynamic limit. His work deals with themes such as Crowd psychology, Mean field theory, Realm and Social dynamics, which intersect with Statistical physics. His Social dynamics study combines topics from a wide range of disciplines, such as Epistemology, Human dynamics and Hierarchy.

His Brownian motion research incorporates elements of Critical dimension, Distribution, Cognitive effort and Combinatorics. His research in Granular material intersects with topics in Langevin dynamics, Stationary state and Kinetic theory of gases. He combines subjects such as Mathematical physics, Energy, Limit, Fractal and Gaussian with his study of Thermodynamic limit.

His most cited work include:

  • Statistical physics of social dynamics (2925 citations)
  • Defining and identifying communities in networks. (1808 citations)
  • Semiotic dynamics and collaborative tagging (364 citations)

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

His primary areas of study are Statistical physics, Artificial intelligence, Dynamics, Granular media and Linguistics. His Statistical physics study also includes

  • Granular material that intertwine with fields like Brownian motion,
  • Critical dimension, which have a strong connection to Critical exponent and Critical phenomena. In his papers, Vittorio Loreto integrates diverse fields, such as Artificial intelligence and Process.

Vittorio Loreto undertakes interdisciplinary study in the fields of Dynamics and Structure through his research. Vittorio Loreto interconnects Compaction and Classical mechanics in the investigation of issues within Granular media. His Complex system study incorporates themes from Simple and Identification.

He most often published in these fields:

  • Statistical physics (26.32%)
  • Artificial intelligence (14.66%)
  • Dynamics (12.41%)

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

  • Process (9.40%)
  • Data science (5.26%)
  • Artificial intelligence (14.66%)

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

Vittorio Loreto mainly focuses on Process, Data science, Artificial intelligence, Principle of maximum entropy and Sustainability. His Data science research includes themes of Space and Novelty. Vittorio Loreto works mostly in the field of Artificial intelligence, limiting it down to concerns involving Natural language processing and, occasionally, Measure.

His Principle of maximum entropy study also includes fields such as

  • Markov chain which is related to area like Theoretical computer science,
  • Attractiveness that intertwine with fields like Face perception. His Theoretical computer science research integrates issues from Structure and Cognitive science. His research integrates issues of Simple, Social issues, Management science and Mass media in his study of Identification.

Between 2015 and 2021, his most popular works were:

  • Ranking the effectiveness of worldwide COVID-19 government interventions. (135 citations)
  • Opinion Dynamics: Models, Extensions and External Effects (67 citations)
  • Opinion Dynamics: Models, Extensions and External Effects (67 citations)

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

  • Quantum mechanics
  • Artificial intelligence
  • Linguistics

Vittorio Loreto focuses on Process, Epistemology, Phenomenology, Natural and Artificial intelligence. His Process research incorporates elements of Sustainability, Data science, Social issues, Complex system and Interdisciplinarity. In his study, he carries out multidisciplinary Epistemology and Dynamics research.

The study incorporates disciplines such as Control, Space, Restructuring, Common sense and Exploit in addition to Phenomenology. His study on Natural is intertwined with other disciplines of science such as Subjectivity, Cognitive psychology, Cognition, Meaning and Universality. Vittorio Loreto has included themes like Machine learning, Melody and Markov model in his Artificial intelligence 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

Statistical physics of social dynamics

Claudio Castellano;Santo Fortunato;Vittorio Loreto.
Reviews of Modern Physics (2009)

3790 Citations

Defining and identifying communities in networks.

Filippo Radicchi;Claudio Castellano;Federico Cecconi;Vittorio Loreto.
Proceedings of the National Academy of Sciences of the United States of America (2004)

2786 Citations

Language trees and zipping.

Dario Benedetto;Emanuele Caglioti;Vittorio Loreto.
Physical Review Letters (2002)

517 Citations

Sharp transition towards shared vocabularies in multi-agent systems

Andrea Baronchelli;Maddalena Felici;Vittorio Loreto;Emanuele Caglioti.
Journal of Statistical Mechanics: Theory and Experiment (2006)

453 Citations

Semiotic dynamics and collaborative tagging

Ciro Cattuto;Vittorio Loreto;Luciano Pietronero.
Proceedings of the National Academy of Sciences of the United States of America (2007)

444 Citations

Manifesto of computational social science

R. Conte;N. Gilbert;G. Bonelli;C. Cioffi-Revilla.
European Physical Journal-special Topics (2012)

366 Citations

Sharp transition towards shared vocabularies in multi-agent systems

A. Baronchelli;M. Felici;E. Caglioti;V. Loreto.
arXiv: Physics and Society (2005)

283 Citations

Nonequilibrium dynamics of language games on complex networks

Luca Dall'Asta;Andrea Baronchelli;Alain Barrat;Vittorio Loreto.
Physical Review E (2006)

256 Citations

Observing brownian motion in vibration-fluidized granular matter

G. D'Anna;P. Mayor;A. Barrat;V. Loreto.
Nature (2003)

250 Citations

Cultural route to the emergence of linguistic categories

Andrea Puglisi;Andrea Baronchelli;Vittorio Loreto.
Proceedings of the National Academy of Sciences of the United States of America (2008)

240 Citations

Best Scientists Citing Vittorio Loreto

Tao Zhou

Tao Zhou

University of Electronic Science and Technology of China

Publications: 55

Vito Latora

Vito Latora

Queen Mary University of London

Publications: 37

Zi-Ke Zhang

Zi-Ke Zhang

Zhejiang University

Publications: 30

Angelo Vulpiani

Angelo Vulpiani

Sapienza University of Rome

Publications: 30

Kimmo Kaski

Kimmo Kaski

Aalto University

Publications: 29

Yamir Moreno

Yamir Moreno

University of Zaragoza

Publications: 29

Boleslaw K. Szymanski

Boleslaw K. Szymanski

Rensselaer Polytechnic Institute

Publications: 28

Jianxin Wang

Jianxin Wang

Central South University

Publications: 28

János Kertész

János Kertész

Central European University

Publications: 27

Luc Steels

Luc Steels

Spanish National Research Council

Publications: 26

Renaud Lambiotte

Renaud Lambiotte

University of Oxford

Publications: 25

Matjaz Perc

Matjaz Perc

University of Maribor

Publications: 25

Bing-Hong Wang

Bing-Hong Wang

University of Science and Technology of China

Publications: 24

Yi-Cheng Zhang

Yi-Cheng Zhang

University of Fribourg

Publications: 24

Licheng Jiao

Licheng Jiao

Xidian University

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Mason A. Porter

Mason A. Porter

University of California, Los Angeles

Publications: 23

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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