Paulo Aguiar
- Artificial Intelligence top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Cellular and Molecular Neuroscience top 5%
- Cell Biology top 5%
- Co-authors
- António PolóniaCatarina EloyGuilherme ArestaTeresa AraújoAurélio CampilhoJosé RoucoEduardo CastroDuarte Araújo
- Topics
- Neuroscience and Neural Engineering (24 papers)Neural dynamics and brain function (17 papers)Neuroscience and Neuropharmacology Research (13 papers)
- Partner nations
- PortugalUnited KingdomUnited States
In The Last Decade
Paulo Aguiar
84 papers receiving 2.7k citations
Hit Papers
Peers
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
Countries citing papers authored by Paulo Aguiar
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
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
| # | 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 Networksbreakdown → | 648 |
| 15 | 5 | |
| 16 | 77 | |
| 17 | 89 | |
| 18 | 116 | |
| 19 | 160 | |
| 20 | 26 |
About Paulo Aguiar
Paulo Aguiar is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Cognitive Neuroscience, having authored 87 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (24 papers), Neural dynamics and brain function (17 papers) and Neuroscience and Neuropharmacology Research (13 papers). The work is most often cited by research in Orthopedics and Sports Medicine (314 citations), Cell Biology (406 citations) and Cellular and Molecular Neuroscience (434 citations). Paulo Aguiar has collaborated with scholars based in Portugal, United Kingdom and United States. Frequent co-authors include António Polónia, Catarina Eloy, Guilherme Aresta, Teresa Araújo, Aurélio Campilho, José Rouco, Eduardo Castro, Duarte Araújo, Júlio Garganta and Keith Davids. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.