Rayson Laroca
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 0.5%
- Building and Construction top 5%
- Artificial Intelligence
- Automotive Engineering
- Co-authors
- David MenottiWilliam Robson SchwartzGabriel Resende GonçalvesLuiz A. ZanlorensiEvair Borges SeveroLuiz S. OliveiraEduardo TodtDiego Rafael Lucio
- Topics
- Vehicle License Plate Recognition (15 papers)Handwritten Text Recognition Techniques (6 papers)Advanced Vision and Imaging (4 papers)
In The Last Decade
Rayson Laroca
21 papers receiving 620 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 525
- Media Technology 471
- Building and Construction 104
- Artificial Intelligence 68
- Automotive Engineering 52
Countries citing papers authored by Rayson Laroca
This map shows the geographic impact of Rayson Laroca'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 Rayson Laroca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rayson Laroca more than expected).
Fields of papers citing papers by Rayson Laroca
This network shows the impact of papers produced by Rayson Laroca. 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 Rayson Laroca. The network helps show where Rayson Laroca may publish in the future.
Co-authorship network of co-authors of Rayson Laroca
This figure shows the co-authorship network connecting the top 25 collaborators of Rayson Laroca. A scholar is included among the top collaborators of Rayson Laroca 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 Rayson Laroca. Rayson Laroca 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 36 | |
| 14 | 8 | |
| 15 | 32 | |
| 16 | 18 | |
| 17 | 3 | |
| 18 | 58 | |
| 19 | Fully Connected Networks and Generative Neural Networks Applied to Sclera Segmentation. | 2 |
| 20 | A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detectorbreakdown → | 325 |
About Rayson Laroca
Rayson Laroca is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Health Informatics, having authored 23 papers that have together received 658 indexed citations. Recurring topics across this work include Vehicle License Plate Recognition (15 papers), Handwritten Text Recognition Techniques (6 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Media Technology (471 citations), Computer Vision and Pattern Recognition (525 citations) and Building and Construction (104 citations). Rayson Laroca has collaborated with scholars based in Brazil and Portugal. Frequent co-authors include David Menotti, William Robson Schwartz, Gabriel Resende Gonçalves, Luiz A. Zanlorensi, Evair Borges Severo, Luiz S. Oliveira, Eduardo Todt, Diego Rafael Lucio, Eduardo Cunha de Almeida and Rodrigo Minetto. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Signal Processing Letters.
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.