Paulo Aguiar

4.7k total citations · 1 hit paper
87 papers, 2.7k citations indexed

About

Paulo Aguiar is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Paulo Aguiar has authored 87 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 22 papers in Cognitive Neuroscience and 17 papers in Molecular Biology. Recurrent topics in Paulo Aguiar's work include Neuroscience and Neural Engineering (24 papers), Neural dynamics and brain function (17 papers) and Neuroscience and Neuropharmacology Research (13 papers). Paulo Aguiar is often cited by papers focused on Neuroscience and Neural Engineering (24 papers), Neural dynamics and brain function (17 papers) and Neuroscience and Neuropharmacology Research (13 papers). Paulo Aguiar collaborates with scholars based in Portugal, United Kingdom and United States. Paulo Aguiar's co-authors include António Polónia, Catarina Eloy, Guilherme Aresta, Teresa Araújo, Aurélio Campilho, José Rouco, Eduardo Castro, Duarte Araújo, Júlio Garganta and Keith Davids and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Paulo Aguiar

84 papers receiving 2.7k citations

Hit Papers

Classification of breast cancer histology images using Co... 2017 2026 2020 2023 2017 200 400 600

Peers

Paulo Aguiar
Comparison fields: 5 of 162
  • Artificial Intelligence 666
  • Molecular Biology 645
  • Radiology, Nuclear Medicine and Imaging 496
  • Cellular and Molecular Neuroscience 434
  • Cell Biology 406
Replace Noriko Nagata with:
Noriko Nagata Japan
Alessandra Griffa Switzerland
Andrzej Buller United Kingdom
Anina N. Rich Australia
Wolfgang Becker Germany
Oliver Schmitt Germany
Federico Bianchi Italy
Andreas Heß Germany
Toshiyuki Kondo Japan
Yoshihiro Miyake Japan
Noriko Nagata Japan View profile →
Citations per field, relative to Paulo Aguiar
Paulo Aguiar · 1×
Citations per year, relative to Paulo Aguiar
Paulo Aguiar · 1×

Countries citing papers authored by Paulo Aguiar

Since Specialization
Citations

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

Fields of papers citing papers by Paulo Aguiar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paulo Aguiar

This figure shows the co-authorship network connecting the top 25 collaborators of Paulo Aguiar. A scholar is included among the top collaborators of Paulo Aguiar 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 Paulo Aguiar. Paulo Aguiar 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
# Work Indexed citations
1 1
2 1
3 9
4 11
5 14
6 16
7 10
8 25
9 0
10 3
11 22
12 12
13 53
14
Classification of breast cancer histology images using Convolutional Neural Networks breakdown →
648
15 5
16 77
17 89
18 116
19 160
20 26

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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