João Basto

1.4k citations
5 papers · 880 indexed · 1 hit paper · h-index 4
Topics
Advanced Manufacturing and Logistics Optimization (3 papers)Additive Manufacturing and 3D Printing Technologies (3 papers)Digital Transformation in Industry (3 papers)

In The Last Decade

João Basto

5 papers receiving 824 citations

Hit Papers

A systematic literature review of machine learning method...20192026202120232019250500750

Peers

João Basto
Comparison fields: 5 of 91
  • Control and Systems Engineering 319
  • Industrial and Manufacturing Engineering 284
  • Mechanical Engineering 121
  • Safety, Risk, Reliability and Quality 119
  • Artificial Intelligence 117
Replace Symone Gomes Soares Alcalá with:
Symone Gomes Soares Alcalá Brazil
Roberto da Piedade Francisco Brazil
Tiago Zonta Brazil
Brian A. Weiss United States
Nikolaos Nikolakis Greece
Andrea Schirru Italy
José Torres Farinha Portugal
Simone Pampuri Italy
Andreas Theissler Germany
Erkki Jantunen Finland
João Basto relative to Symone Gomes Soares Alcalá Brazil Symone Gomes Soares Alcalá's profile →
Citations per field
00.5×1.5×
Symone Gomes Soares Alcalá · 1×
Citations per year

Countries citing papers authored by João Basto

Since Specialization
Citations

This map shows the geographic impact of João Basto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by João Basto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João Basto more than expected).

Fields of papers citing papers by João Basto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João Basto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by João Basto. The network helps show where João Basto may publish in the future.

Co-authorship network of co-authors of João Basto

This figure shows the co-authorship network connecting the top 25 collaborators of João Basto. A scholar is included among the top collaborators of João Basto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with João Basto. João Basto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 22
2 4
3
A systematic literature review of machine learning methods applied to predictive maintenancebreakdown →
843
4 3
5 8

About João Basto

João Basto is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Safety, Risk, Reliability and Quality, having authored 5 papers that have together received 880 indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Digital Transformation in Industry (3 papers). The work is most often cited by research in Medical Laboratory Technology (96 citations), Industrial and Manufacturing Engineering (284 citations) and Control and Systems Engineering (319 citations). João Basto has collaborated with scholars based in Brazil, Portugal and United States. Frequent co-authors include Symone Gomes Soares Alcalá, Roberto da Piedade Francisco, Fabrízzio Soares, Enzo Morosini Frazzon and Carlos Manuel Taboada Rodriguez. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Informatics and Computers & Industrial Engineering.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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