World's Best Scientists 2026 revealed!
Luciano da Fontoura Costa

Luciano da Fontoura Costa

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Computer Science
Brazil
2026

D-Index & Metrics

Computer Science

D-Index
60
Citations
20160
World Ranking
3186
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Computer Science in Brazil Leader Award
  • 2025 - Research.com Computer Science in Brazil Leader Award
  • 2023 - Research.com Computer Science in Brazil Leader Award
  • 2022 - Research.com Computer Science in Brazil Leader Award

Overview

Luciano da Fontoura Costa is affiliated with the Universidade de São Paulo in Brazil. Their research spans multiple intersecting domains, primarily focusing on computer science and physics and astronomy, with significant contributions to subfields such as statistical and nonlinear physics, molecular biology, artificial intelligence, computer vision and pattern recognition, and hematology.

The scientist's work encompasses a range of topics, including:

  • Complex Network Analysis Techniques
  • Opinion Dynamics and Social Influence
  • Bioinformatics and Genomic Networks
  • Multiple Myeloma Research and Treatments
  • Data Visualization and Analytics
  • Topological and Geometric Data Analysis
  • Face and Expression Recognition

Recent representative papers authored or co-authored by Luciano da Fontoura Costa include:

  • "Principal Component Analysis," 2021, ACM Computing Surveys
  • "Vascular contributions to 16p11.2 deletion autism syndrome modeled in mice," 2020, Nature Neuroscience
  • "Further Generalizations of the Jaccard Index," 2021, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Revisiting agglomerative clustering," 2022, Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)
  • "Complex systems: features, similarity and connectivity," 2020, Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)

The scientist frequently collaborates with colleagues whose names appear often in publications. These co-authors include Alexandre Benatti, César H. Comin, Henrique Ferraz de Arruda, Eric K. Tokuda, and Filipi N. Silva.

Publication venues where Luciano da Fontoura Costa's work is regularly featured include:

  • arXiv (Cornell University)
  • Clinical Lymphoma Myeloma & Leukemia
  • Physica A Statistical Mechanics and its Applications
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)

The diversity in research topics, venues, and collaboration networks reflects a broad interdisciplinary approach combining computational methodologies with applications in biology, physics, and medical research.

Best Publications

  • Characterization of complex networks: A survey of measurements

    L. da F. Costa;F. A. Rodrigues;G. Travieso;P. R. Villas Boas

  • Characterization of complex networks: A survey of measurements

    Luciano da F. Costa;Francisco A. Rodrigues;Gonzalo Travieso;P. R. Villas Boas

  • Shape Analysis and Classification: Theory and Practice

    Luciano da Fontoura Da Costa;Roberto Marcondes Cesar

  • Analyzing and modeling real-world phenomena with complex networks: a survey of applications

    Luciano da Fontoura Costa;Osvaldo N. Oliveira Jr.;Gonzalo Travieso;Francisco Aparecido Rodrigues

  • 2D Euclidean distance transform algorithms: A comparative survey

    Ricardo Fabbri;Luciano Da F. Costa;Julio C. Torelli;Odemir M. Bruno

  • 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

  • Molecular determinants of caste differentiation in the highly eusocial honeybee Apis mellifera

    Angel R Barchuk;Angel R Barchuk;Alexandre S Cristino;Robert Kucharski;Luciano F Costa

  • A systematic comparison of supervised classifiers.

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

  • Identifying the starting point of a spreading process in complex networks.

    Cesar Henrique Comin;Luciano da Fontoura Costa

  • Automatic estimation of crowd density using texture

    A.N. Marana;S.A. Velastin;L.F. Costa;R.A. Lotufo

  • Estimation Of Crowd Density Using Image Processing

    A N Marana;S A Velastin;L F Costa;R A Lotufo

  • On the efficacy of texture analysis for crowd monitoring

    A.N. Marana;L.F. Costa;R.A. Lotufo;S.A. Velastin

  • A texture approach to leukocyte recognition

    Daniela Mayumi Ushizima Sabino;Luciano da Fontoura Costa;Edgar Gil Rizzatti;Marco Antonio Zago

  • Rich-club phenomenon across complex network hierarchies

    Julian J. McAuley;Luciano da Fontoura Costa;Tibério S. Caetano

  • High-resolution episcopic microscopy: a rapid technique for high detailed 3D analysis of gene activity in the context of tissue architecture and morphology

    Wolfgang J. Weninger;Stefan H. Geyer;Timothy J. Mohun;Diego Rasskin-Gutman

  • Sensory-Related Neural Activity Regulates the Structure of Vascular Networks in the Cerebral Cortex

    Baptiste Lacoste;Cesar H. Comin;Ayal Ben-Zvi;Pascal S. Kaeser

  • Role of centrality for the identification of influential spreaders in complex networks

    Guilherme Ferraz de Arruda;André Luiz Barbieri;Pablo Martín Rodríguez;Francisco A. Rodrigues

  • A complex network approach to text summarization

    Lucas Antiqueira;Osvaldo N. Oliveira;Luciano da Fontoura Costa;Maria das Graças Volpe Nunes

  • Shape Classification and Analysis: Theory and Practice

    Luciano da Fontoura Costa;Roberto Marcondes Cesar

  • The role of centrality for the identification of influential spreaders in complex networks

    Guilherme Ferraz de Arruda;André Luiz Barbieri;Pablo Martín Rodriguez;Yamir Moreno

Frequent Co-Authors

Francisco Aparecido Rodrigues
Francisco Aparecido Rodrigues Universidade de São Paulo
Diego R. Amancio
Diego R. Amancio Universidade de São Paulo
Osvaldo N. Oliveira
Osvaldo N. Oliveira Universidade de São Paulo
Roberto M. Cesar
Roberto M. Cesar Universidade de São Paulo
Mark Sandler
Mark Sandler Google (United States)
Marcus Kaiser
Marcus Kaiser University of Nottingham
Edwin R. Hancock
Edwin R. Hancock University of York
Richard Wilson
Richard Wilson Harvard University
Olaf Sporns
Olaf Sporns Indiana University
Sergio A. Velastin
Sergio A. Velastin Queen Mary University of London

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