Luiz C. B. Torres
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Earth-Surface Processes
- Electrical and Electronic Engineering
- Co-authors
- Antônio P. BragaPaulo Vitor de Campos SouzaCristiano Leite de CastroAugusto Júnio GuimarãesVanessa Souza AraújoPeter Christian HackspacherDavid Lopes de CastroWebster Ueipass Mohriak
- Topics
- Neural Networks and Applications (11 papers)Face and Expression Recognition (9 papers)Machine Learning and ELM (8 papers)
In The Last Decade
Luiz C. B. Torres
34 papers receiving 272 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 137
- Computer Vision and Pattern Recognition 53
- Control and Systems Engineering 29
- Earth-Surface Processes 23
- Electrical and Electronic Engineering 22
Countries citing papers authored by Luiz C. B. Torres
This map shows the geographic impact of Luiz C. B. Torres'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 Luiz C. B. Torres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luiz C. B. Torres more than expected).
Fields of papers citing papers by Luiz C. B. Torres
This network shows the impact of papers produced by Luiz C. B. Torres. 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 Luiz C. B. Torres. The network helps show where Luiz C. B. Torres may publish in the future.
Co-authorship network of co-authors of Luiz C. B. Torres
This figure shows the co-authorship network connecting the top 25 collaborators of Luiz C. B. Torres. A scholar is included among the top collaborators of Luiz C. B. Torres 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 Luiz C. B. Torres. Luiz C. B. Torres 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 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest. | 1 |
| 12 | 26 | |
| 13 | 1 | |
| 14 | 14 | |
| 15 | 19 | |
| 16 | 24 | |
| 17 | 25 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | Gabriel Graph for Dataset Structure and Large Margin Classification: A Bayesian Approach | 3 |
About Luiz C. B. Torres
Luiz C. B. Torres is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Earth-Surface Processes, having authored 37 papers that have together received 279 indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Face and Expression Recognition (9 papers) and Machine Learning and ELM (8 papers). The work is most often cited by research in Artificial Intelligence (137 citations), Earth-Surface Processes (23 citations) and Geology (15 citations). Luiz C. B. Torres has collaborated with scholars based in Brazil, Austria and Canada. Frequent co-authors include Antônio P. Braga, Paulo Vitor de Campos Souza, Cristiano Leite de Castro, Augusto Júnio Guimarães, Vanessa Souza Araújo, Peter Christian Hackspacher, David Lopes de Castro, Webster Ueipass Mohriak, Luiz Antônio Pierantoni Gambôa and Haroldo Fraga de Campos Velho. Their work appears in journals such as IEEE Access, Information Sciences and IEEE Transactions on Industrial Informatics.
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.