World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
25801
World Ranking
13797
National Ranking
72

Overview

Berthier Ribeiro-Neto is affiliated with Universidade Federal de Minas Gerais in Brazil. Their research is concentrated within the field of Computer Science, with a particular focus on the subfields of Information Systems and Artificial Intelligence.

The scientist's main topics of work include:

  • Software Engineering Research
  • Web Data Mining and Analysis
  • Topic Modeling

Berthier Ribeiro-Neto has contributed to publications in recognized venues. Notably, they have published in:

  • Neurocomputing

One of their recent papers is titled On Representation Learning-based Methods for Effective, Efficient, and Scalable Code Retrieval, published in 2024 in the venue Neurocomputing.

Their collaborations include work with several frequent co-authors, listed as:

  • Celso França
  • Rennan C. Lima
  • Cláudio Moisés Valiense de Andrade
  • Washington Cunha
  • Pedro O. S. Vaz de Melo

Best Publications

  • Modern Information Retrieval

    Ricardo A. Baeza-Yates;Berthier Ribeiro-Neto

  • A brief survey of web data extraction tools

    Alberto H. F. Laender;Berthier A. Ribeiro-Neto;Altigran S. da Silva;Juliana S. Teixeira

  • Modern Information Retrieval: The Concepts and Technology Behind Search

    Ricardo Baeza-Yates;Berthier Ribeiro-Neto

  • Modern Information Retrieval - the concepts and technology behind search, Second edition

    Ricardo A. Baeza-Yates;Berthier A. Ribeiro-Neto

  • Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval

    Ricardo Baeza-Yates;Mounia Lalmas;Alistair Moffat;Berthier Ribeiro-Neto

  • A belief network model for IR

    Berthier A. N. Ribeiro;Richard Muntz

  • Impedance coupling in content-targeted advertising

    Berthier Ribeiro-Neto;Marco Cristo;Paulo B. Golgher;Edleno Silva de Moura

  • DEByE - Date extraction by example

    Alberto H. F. Laender;Berthier Ribeiro-Neto;Altigran S. da Silva

  • Concept-based interactive query expansion

    Bruno M. Fonseca;Paulo Golgher;Bruno Pôssas;Berthier Ribeiro-Neto

  • Analyzing client interactivity in streaming media

    Cristiano P. Costa;Italo S. Cunha;Alex Borges;Claudiney V. Ramos

  • Learning to advertise

    Anísio Lacerda;Marco Cristo;Marcos André Gonçalves;Weiguo Fan

  • Rank-preserving two-level caching for scalable search engines

    Patricia Correia Saraiva;Edleno Silva de Moura;Nivio Ziviani;Wagner Meira

  • Comparing random data allocation and data striping in multimedia servers

    Jose Renato Santos;Richard R. Muntz;Berthier Ribeiro-Neto

  • Combining link-based and content-based methods for web document classification

    Pável Calado;Marco Cristo;Edleno Moura;Nivio Ziviani

  • Distributed query processing using partitioned inverted files

    C. Badue;B. Ribeiro-Neto;R. Baeza-Yates;N. Ziviani

  • Image retrieval using multiple evidence ranking

    T.A.S. Coelho;P.P. Calado;L.V. Souza;B. Ribeiro-Neto

  • Efficient search ranking in social networks

    Monique V. Vieira;Bruno M. Fonseca;Rodrigo Damazio;Paulo B. Golgher

  • Query performance for tightly coupled distributed digital libraries

    Berthier A. Ribeiro-Neto;Ramurti A. Barbosa

  • Link-based and content-based evidential information in a belief network model

    Ilmério Silva;Berthier Ribeiro-Neto;Pável Calado;Edleno Moura

  • Using web information for author name disambiguation

    Denilson Alves Pereira;Berthier Ribeiro-Neto;Nivio Ziviani;Alberto H.F. Laender

  • Local versus global link information in the Web

    Pável Calado;Berthier Ribeiro-Neto;Nivio Ziviani;Edleno Moura

  • Efficient distributed algorithms to build inverted files

    Berthier Ribeiro-Neto;Edleno S. Moura;Marden S. Neubert;Nivio Ziviani

  • Extracting semi-structured data through examples

    Berthier Ribeiro-Neto;Alberto H. F. Laender;Altigran S. da Silva

  • A hierarchical approach to the automatic categorization of medical documents

    Luciano R. S. de Lima;Alberto H. F. Laender;Berthier A. Ribeiro-Neto

Frequent Co-Authors

Nivio Ziviani
Nivio Ziviani Universidade Federal de Minas Gerais
Alberto H. F. Laender
Alberto H. F. Laender Universidade Federal de Minas Gerais
Edleno Silva de Moura
Edleno Silva de Moura Federal University of Amazonas
Marcos André Gonçalves
Marcos André Gonçalves Universidade Federal de Minas Gerais
Ricardo Baeza-Yates
Ricardo Baeza-Yates Royal Institute of Technology
Wagner Meira
Wagner Meira Universidade Federal de Minas Gerais
Richard R. Muntz
Richard R. Muntz University of California, Los Angeles
Edward A. Fox
Edward A. Fox Virginia Tech
Jussara M. Almeida
Jussara M. Almeida Universidade Federal de Minas Gerais

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