Rodrigo C. Barros
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 2%
- Signal Processing top 2%
- Molecular Biology
- Co-authors
- André C. P. L. F. de CarvalhoJônatas WehrmannMárcio P. BasgaluppAlex A. FreitasRicardo CerriDuncan D. RuizEduardo R. HruschkaJoão Gama
- Topics
- Machine Learning and Data Classification (17 papers)Evolutionary Algorithms and Applications (16 papers)Text and Document Classification Technologies (12 papers)
- Partner nations
- BrazilUnited KingdomUnited States
In The Last Decade
Rodrigo C. Barros
89 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 608
- Information Systems 388
- Signal Processing 258
- Molecular Biology 194
Countries citing papers authored by Rodrigo C. Barros
This map shows the geographic impact of Rodrigo C. Barros'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 Rodrigo C. Barros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rodrigo C. Barros more than expected).
Fields of papers citing papers by Rodrigo C. Barros
This network shows the impact of papers produced by Rodrigo C. Barros. 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 Rodrigo C. Barros. The network helps show where Rodrigo C. Barros may publish in the future.
Co-authorship network of co-authors of Rodrigo C. Barros
This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo C. Barros. A scholar is included among the top collaborators of Rodrigo C. Barros 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 Rodrigo C. Barros. Rodrigo C. Barros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 21 | |
| 9 | Attention-based 3D Object Reconstruction from a Single Image | 7 |
| 10 | 45 | |
| 11 | Self-Attention for Synopsis-based Multi-Label Movie Genre Classification | 4 |
| 12 | Hierarchical Multi-Label Classification Networks | 80 |
| 13 | 8 | |
| 14 | Improving Action Recognition using Temporal Regions | 1 |
| 15 | Hybrid Activity and Plan Recognition for Video Streams | 15 |
| 16 | A Deep Neural Architecture for Kitchen Activity Recognition | 8 |
| 17 | An Efficient Deep Neural Architecture for Multilingual Sentiment Analysis in Twitter. | 15 |
| 18 | Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning | 5 |
| 19 | 85 | |
| 20 | 23 |
About Rodrigo C. Barros
Rodrigo C. Barros is a scholar working on Artificial Intelligence, Software and Computer Vision and Pattern Recognition, having authored 96 papers that have together received 2.3k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (17 papers), Evolutionary Algorithms and Applications (16 papers) and Text and Document Classification Technologies (12 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (608 citations) and Signal Processing (258 citations). Rodrigo C. Barros has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include André C. P. L. F. de Carvalho, Jônatas Wehrmann, Márcio P. Basgalupp, Alex A. Freitas, Ricardo Cerri, Duncan D. Ruiz, Eduardo R. Hruschka, João Gama, Elaine R. Faria and Jonathan de Andrade Silva. Their work appears in journals such as ACM Computing Surveys, BMC Bioinformatics and Information Sciences.
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.