World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
4795
World Ranking
8995
National Ranking
25

Overview

Diego R. Amancio is affiliated with the Universidade de São Paulo in Brazil and has a research profile spanning computer science and physics and astronomy. Their body of work reflects a focus on complex network analysis and advanced text analysis techniques within these domains.

Their recent notable publications include:

  • Principal Component Analysis, 2021, ACM Computing Surveys
  • Complex systems: features, similarity and connectivity, 2020, Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)
  • Using virtual edges to improve the discriminability of co-occurrence text networks, 2020, Physica A Statistical Mechanics and its Applications
  • A complex network approach to political analysis: Application to the Brazilian Chamber of Deputies, 2020, PLoS ONE
  • Network Analysis and Natural Language Processing to Obtain a Landscape of the Scientific Literature on Materials Applications, 2023, ACS Applied Materials & Interfaces

Amancio's frequent co-authors include:

  • Filipi N. Silva
  • Thiago Christiano Silva
  • Luciano da Fontoura Costa
  • Jorge A. V. Tohalino
  • Henrique Ferraz de Arruda

The primary venues where Amancio has published are:

  • arXiv (Cornell University)
  • PLoS ONE
  • Physica A Statistical Mechanics and its Applications
  • Scientometrics
  • Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)

Amancio's research covers several fields of study, particularly:

  • Computer Science
  • Physics and Astronomy

More detailed subfields include:

  • Artificial Intelligence
  • Statistical and Nonlinear Physics
  • Economics and Econometrics
  • Molecular Biology
  • Statistics, Probability and Uncertainty

Core research topics Amancio focuses on are:

  • Complex Network Analysis Techniques
  • Advanced Text Analysis Techniques
  • Topic Modeling
  • Scientometrics and Bibliometrics Research
  • Opinion Dynamics and Social Influence
  • Complex Systems and Time Series Analysis
  • Bioinformatics and Genomic Networks

Best Publications

  • Clustering algorithms: A comparative approach

    Mayra Z Rodriguez;Cesar Henrique Comin;Dalcimar Casanova;Odemir Martinez Bruno

  • Principal Component Analysis: A Natural Approach to Data Exploration

    Felipe L. Gewers;Gustavo R. Ferreira;Henrique F. De Arruda;Filipi N. Silva

  • A systematic comparison of supervised classifiers.

    Diego Raphael Amancio;Cesar Henrique Comin;Dalcimar Casanova;Gonzalo Travieso

  • Using network science and text analytics to produce surveys in a scientific topic

    Filipi Nascimento Silva;Diego R. Amancio;Maria Bardosova;Luciano da F. Costa

  • Using network science and text analytics to produce surveys in a scientific topic

    Filipi N. Silva;Diego R. Amancio;Maria Bardosova;Osvaldo N. Oliveira

  • Principal Component Analysis: A Natural Approach to Data Exploration

    Felipe L. Gewers;Gustavo R. Ferreira;Henrique F. de Arruda;Filipi N. Silva

  • Patterns of authors contribution in scientific manuscripts

    Edilson A. Correa;Filipi Nascimento Silva;Luciano da Fontoura Costa;Diego R. Amancio

  • A Complex Network Approach to Stylometry.

    Diego Raphael Amancio

  • Word sense disambiguation: A complex network approach

    Edilson A. Corrêa;Alneu A. Lopes;Diego R. Amancio;Diego R. Amancio

  • Text Authorship Identified Using the Dynamics of Word Co-Occurrence Networks.

    Camilo Akimushkin;Diego Raphael Amancio;Osvaldo Novais Oliveira

  • Probing the statistical properties of unknown texts: application to the Voynich Manuscript.

    Diego R. Amancio;Eduardo G. Altmann;Diego Rybski;Osvaldo N. Oliveira

  • Comparing the topological properties of real and artificially generated scientific manuscripts

    Diego Raphael Amancio

  • Probing the topological properties of complex networks modeling short written texts.

    Diego Raphael Amancio

  • COMPLEX NETWORKS ANALYSIS OF MANUAL AND MACHINE TRANSLATIONS

    Diego R. Amancio;Lucas Antiqueira;Thiago A. S. Pardo;Luciano da F. Costa

  • Extractive multi-document summarization using multilayer networks

    Jorge Valverde Tohalino;Diego Raphael Amancio;Diego Raphael Amancio

  • Knowledge acquisition: A Complex networks approach

    Henrique Ferraz de Arruda;Filipi Nascimento Silva;Luciano da Fontoura Costa;Diego R. Amancio

  • Structure–semantics interplay in complex networks and its effects on the predictability of similarity in texts

    Diego R. Amancio;Osvaldo N. Oliveira;Luciano da F. Costa

  • Extractive summarization using complex networks and syntactic dependency

    Diego R. Amancio;Maria G.V. Nunes;Osvaldo N. Oliveira;Luciano da F. Costa

  • Complex systems: Features, similarity and connectivity

    Cesar H. Comin;Thomas K. Dm. Peron;Filipi N. Silva;Diego R. Amancio

  • Using complex networks concepts to assess approaches for citations in scientific papers

    D. R. Amancio;M. G. Nunes;O. N. Oliveira;L. F. Costa

  • Using complex networks for text classification: Discriminating informative and imaginative documents

    Henrique F. de Arruda;Luciano da F. Costa;Diego R. Amancio

  • Word sense disambiguation via bipartite representation of complex networks.

    Edilson A. Correa;Alneu de Andrade Lopes;Diego R. Amancio

Frequent Co-Authors

Luciano da Fontoura Costa
Luciano da Fontoura Costa Universidade de São Paulo
Osvaldo N. Oliveira
Osvaldo N. Oliveira Universidade de São Paulo
Francisco Aparecido Rodrigues
Francisco Aparecido Rodrigues Universidade de São Paulo
Graeme Hirst
Graeme Hirst University of Toronto
Jürgen Kurths
Jürgen Kurths Potsdam Institute for Climate Impact Research
Alessandro Flammini
Alessandro Flammini Indiana University
Santo Fortunato
Santo Fortunato Indiana University
Filippo Menczer
Filippo Menczer Indiana University

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