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Marcos André Gonçalves

Marcos André Gonçalves

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Computer Science
Brazil
2025

D-Index & Metrics

Computer Science

D-Index
57
Citations
11505
World Ranking
3882
National Ranking
11

Research.com Recognitions

  • 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

Marcos André Gonçalves is affiliated with the Universidade Federal de Minas Gerais in Brazil. Their research activity spans a significant number of publications primarily in the fields of computer science and medicine, reflecting a diverse interdisciplinary approach.

Their work is focused on several core areas within computer science, with a substantial emphasis on artificial intelligence, information systems, and subfields such as computer vision and pattern recognition, as well as management science and operations research. The main topics covered in their research include:

  • Topic Modeling
  • Text and Document Classification Technologies
  • Data Quality and Management
  • Natural Language Processing Techniques
  • Machine Learning and Data Classification
  • Biomedical Text Mining and Ontologies
  • Machine Learning in Healthcare

Their publication record features articles in various respected academic venues. Frequent publication venues include:

  • Information Processing & Management
  • Scientometrics
  • Information Sciences
  • SSRN Electronic Journal
  • ACM Computing Surveys

Some recent papers authored or co-authored by Marcos André Gonçalves include:

  • "Infodemics and health misinformation: a systematic review of reviews" (2022), Bulletin of the World Health Organization
  • "On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study" (2021), Information Processing & Management
  • "Impact of Big Data Analytics on People's Health: Overview of Systematic Reviews and Recommendations for Future Studies" (2021), Journal of Medical Internet Research
  • "Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling" (2020), Information Processing & Management
  • "A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification" (2023), ACM Computing Surveys

In addition to journal articles, Marcos André Gonçalves has contributed to book publications, including a title published by Morgan & Claypool Publishers:

  • "Automatic Disambiguation of Author Names in Bibliographic Repositories" (2020)

Their collaboration network includes frequent co-authors such as Leonardo Rocha, Washington Cunha, Felipe Viegas, Alberto H. F. Laender, and Celso França. These collaborations have resulted in several joint research outputs, reflecting a consistent engagement in collaborative scientific work.

Best Publications

  • SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods

    Filipe N Ribeiro;Filipe N Ribeiro;Matheus Araújo;Pollyanna Gonçalves;Marcos André Gonçalves

  • Using early view patterns to predict the popularity of youtube videos

    Henrique Pinto;Jussara M. Almeida;Marcos A. Gonçalves

  • Streams, structures, spaces, scenarios, societies (5s): A formal model for digital libraries

    Marcos André Gonçalves;Edward A. Fox;Layne T. Watson;Neill A. Kipp

  • A brief survey of automatic methods for author name disambiguation

    Anderson A. Ferreira;Marcos André Gonçalves;Alberto H.F. Laender

  • Detecting spammers and content promoters in online video social networks

    Fabrício Benevenuto;Tiago Rodrigues;Virgílio Almeida;Jussara Almeida

  • Recommender Systems Research: A Connection-Centric Survey

    Saverio Perugini;Marcos André Gonçalves;Edward A. Fox

  • A genetic programming framework for content-based image retrieval

    Ricardo da S. Torres;Alexandre X. Falcão;Marcos A. Gonçalves;João P. Papa

  • What is a good digital library? - A quality model for digital libraries

    Marcos André Gonçalves;Bárbara L. Moreira;Edward A. Fox;Layne T. Watson

  • Learning to advertise

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

  • Analyzing the Dynamic Evolution of Hashtags on Twitter: a Language-Based Approach

    Evandro Cunha;Gabriel Magno;Giovanni Comarela;Virgilio Almeida

  • A source independent framework for research paper recommendation

    Cristiano Nascimento;Alberto H.F. Laender;Altigran S. da Silva;Marcos André Gonçalves

  • Word co-occurrence features for text classification

    Fábio Figueiredo;Leonardo Rocha;Thierson Couto;Thiago Salles

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

    Pável Calado;Marco Cristo;Edleno Moura;Nivio Ziviani

  • Automatic quality assessment of content created collaboratively by web communities: a case study of wikipedia

    Daniel Hasan Dalip;Marcos André Gonçalves;Marco Cristo;Pável Calado

  • An unsupervised heuristic-based hierarchical method for name disambiguation in bibliographic citations

    Ricardo G. Cota;Anderson A. Ferreira;Cristiano Nascimento;Marcos André Gonçalves

  • Using web information for author name disambiguation

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

  • Link-based similarity measures for the classification of Web documents

    Pável Calado;Marco Cristo;Marcos André Gonçalves;Edleno S. de Moura

  • Effective self-training author name disambiguation in scholarly digital libraries

    Anderson A. Ferreira;Adriano Veloso;Marcos André Gonçalves;Alberto H.F. Laender

  • An unsupervised heuristic-based hierarchical method for name disambiguation in bibliographic citations

    Unknown

  • On the Dynamics of Social Media Popularity: A YouTube Case Study

    Flavio Figueiredo;Jussara M. Almeida;Marcos André Gonçalves;Fabrício Benevenuto

  • Detecting Spammers and Content Promoters in Online Video Social Networks

    Fabricio Benevenuto;Tiago Rodrigues;Jussara Almeida;Marcos Goncalves

  • A Benchmark Comparison of State-of-the-Practice Sentiment Analysis Methods.

    Filipe Nunes Ribeiro;Matheus Araújo;Pollyanna Gonçalves;Fabrício Benevenuto

Frequent Co-Authors

Jussara M. Almeida
Jussara M. Almeida Universidade Federal de Minas Gerais
Edward A. Fox
Edward A. Fox Virginia Tech
Alberto H. F. Laender
Alberto H. F. Laender Universidade Federal de Minas Gerais
Ricardo da Silva Torres
Ricardo da Silva Torres Wageningen University & Research
Fabrício Benevenuto
Fabrício Benevenuto Universidade Federal de Minas Gerais
Wagner Meira
Wagner Meira Universidade Federal de Minas Gerais
Adriano Veloso
Adriano Veloso Universidade Federal de Minas Gerais
Virgilio Almeida
Virgilio Almeida Universidade Federal de Minas Gerais
Weiguo Fan
Weiguo Fan University of Iowa
Edleno Silva de Moura
Edleno Silva de Moura Federal University of Amazonas

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