Paula Brito

1.5k citations
40 papers · 775 indexed · h-index 14
Topics
Rough Sets and Fuzzy Logic (7 papers)Time Series Analysis and Forecasting (6 papers)Fuzzy Systems and Optimization (6 papers)
Journals
SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchPattern Recognition
Partner nations
PortugalFranceAustralia

In The Last Decade

Paula Brito

38 papers receiving 745 citations

Peers

Paula Brito
Comparison fields: 5 of 125
  • Artificial Intelligence 327
  • Statistics and Probability 170
  • Signal Processing 130
  • Computational Theory and Mathematics 111
  • Economics and Econometrics 98
Replace Hans‐Hermann Bock with:
Hans‐Hermann Bock Germany
Paolo Giordani Italy
Yves Lechevallier France
Purnamrita Sarkar United States
Renato Coppi Italy
Vartan Choulakian Canada
Erricos John Kontoghiorghes United Kingdom
Roberto Rocci Italy
Hyejin Shin South Korea
Tõnu Kollo Estonia
Paula Brito relative to Hans‐Hermann Bock Germany Hans‐Hermann Bock's profile →
Citations per field
00.5×5.4×
Hans‐Hermann Bock · 1×
Citations per year

Countries citing papers authored by Paula Brito

Since Specialization
Citations

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

Fields of papers citing papers by Paula Brito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula Brito. 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 Paula Brito. The network helps show where Paula Brito may publish in the future.

Co-authorship network of co-authors of Paula Brito

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Brito. A scholar is included among the top collaborators of Paula Brito 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 Paula Brito. Paula Brito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 4
5 5
6
MAINT.Data: Modelling and Analysing Interval Data in R
1
7 3
8 3
9 13
10 6
11 6
12 20
13 35
14 51
15 24
16 20
17 43
18 5
19
HIERARCHICAL AND PYRAMIDAL CLUSTERING FOR SYMBOLIC DATA
4
20 58

About Paula Brito

Paula Brito is a scholar working on Signal Processing, Statistics and Probability and Artificial Intelligence, having authored 40 papers that have together received 775 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (7 papers), Time Series Analysis and Forecasting (6 papers) and Fuzzy Systems and Optimization (6 papers). The work is most often cited by research in Statistics and Probability (170 citations), Signal Processing (130 citations) and Artificial Intelligence (327 citations). Paula Brito has collaborated with scholars based in Portugal, France and Australia. Frequent co-authors include A. Pedro Duarte Silva, Francisco de A.T. de Carvalho, Monique Noirhomme­-Fraiture, Hans‐Hermann Bock, Paulo Teles, Patrice Bertrand, Luís Delfim Santos, Isabel M.P.L.V.O. Ferreira, Eulália Mendes and Margarida A. Ferreira. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Pattern Recognition.

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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