Roberto de Pinho

1.1k citations
13 papers · 370 indexed · h-index 8

Impact in

  • Software top 10%
    • Software Reliability and Analysis Research
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

Roberto de Pinho

10 papers receiving 338 citations

Peers

Roberto de Pinho
Comparison fields: 5 of 69
  • Software 50
  • Information Systems 215
  • Computer Science Applications 41
  • Computer Vision and Pattern Recognition 91
  • Computer Graphics and Computer-Aided Design 14
Replace Leszek A. Maciaszek with:
Leszek A. Maciaszek Poland
Paul J. Deitel United States
Esko Nuutila Finland
Peter G. Selfridge United States
Antonio Hernando Spain
Alan Oxley Malaysia
Seán Baker United States
Nabor C. Mendonça Brazil
Avraham Leff United States
Inah Omoronyia United Kingdom
Roberto de Pinho relative to Leszek A. Maciaszek Poland Leszek A. Maciaszek's profile →
Citations per field
00.5×2.9×
Leszek A. Maciaszek · 1×
Citations per year

Countries citing papers authored by Roberto de Pinho

Since Specialization
Citations

This map shows the geographic impact of Roberto de Pinho'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 Roberto de Pinho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto de Pinho more than expected).

Fields of papers citing papers by Roberto de Pinho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto de Pinho. 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 Roberto de Pinho. The network helps show where Roberto de Pinho may publish in the future.

Co-authors

The 17 scholars most cited alongside Roberto de Pinho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberto de Pinho Line = papers co-authored together Roberto de Pinho links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20240
2 20220
3 20212
4 20210
5 201518
6 201011
7 20097
8 200913
9 200810
10 2007254
11 200744
12 20069
13 20052

About Roberto de Pinho

Roberto de Pinho is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Oceanography and Statistics, Probability and Uncertainty, having authored 13 papers that have together received 370 indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Data Management and Algorithms (3 papers), Image Retrieval and Classification Techniques (2 papers), Video Analysis and Summarization (2 papers), Marine Biology and Ecology Research (2 papers), Complex Network Analysis Techniques (1 paper), Innovation Diffusion and Forecasting (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Software (50 citations), Information Systems (215 citations), Computer Science Applications (41 citations), Computer Vision and Pattern Recognition (91 citations) and Computer Graphics and Computer-Aided Design (14 citations). Roberto de Pinho has collaborated with scholars based in Brazil, Netherlands and Angola. Frequent co-authors include Erika Nina Höhn, Manoel Mendonça, José Carlos Maldonado, Rosane Minghim, Maria Cristina Ferreira de Oliveira, Fernando V. Paulovich, Alneu de Andrade Lopes, Mariagrazia Squicciarini, Hélène Dernis and Charl P. Botha. Their work appears in journals such as Ciência e Cultura, Multimedia Tools and Applications, Computers & Graphics, The Journal of Technology Transfer and SHILAP Revista de lepidopterología.

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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