Alceu S. Britto
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Building and Construction top 5%
- Signal Processing top 5%
- Co-authors
- Luiz S. OliveiraRobert SabourinAlessandro L. KoerichPaulo Ricardo Lisboa de AlmeidaSilvana NisgoskiFabrício EnembreckJhony Kaesemodel PontesClinton Fookes
- Topics
- Handwritten Text Recognition Techniques (15 papers)Advanced Image and Video Retrieval Techniques (8 papers)Music and Audio Processing (7 papers)
In The Last Decade
Alceu S. Britto
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 513
- Artificial Intelligence 396
- Media Technology 177
- Building and Construction 170
- Signal Processing 107
Countries citing papers authored by Alceu S. Britto
This map shows the geographic impact of Alceu S. Britto'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 Alceu S. Britto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alceu S. Britto more than expected).
Fields of papers citing papers by Alceu S. Britto
This network shows the impact of papers produced by Alceu S. Britto. 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 Alceu S. Britto. The network helps show where Alceu S. Britto may publish in the future.
Co-authorship network of co-authors of Alceu S. Britto
This figure shows the co-authorship network connecting the top 25 collaborators of Alceu S. Britto. A scholar is included among the top collaborators of Alceu S. Britto 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 Alceu S. Britto. Alceu S. Britto 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 | 9 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 12 | |
| 6 | Fully Connected Networks and Generative Neural Networks Applied to Sclera Segmentation. | 2 |
| 7 | 14 | |
| 8 | 10 | |
| 9 | 25 | |
| 10 | 12 | |
| 11 | 54 | |
| 12 | 224 | |
| 13 | 77 | |
| 14 | 1 | |
| 15 | 18 | |
| 16 | Modeling segmentation cuts using support vector machines | 8 |
| 17 | Fusing High- and Low-Level Features for Handwritten Word Recognition | 10 |
| 18 | 11 | |
| 19 | 4 | |
| 20 | 3 |
About Alceu S. Britto
Alceu S. Britto is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (15 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Music and Audio Processing (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (513 citations), Media Technology (177 citations) and Building and Construction (170 citations). Alceu S. Britto has collaborated with scholars based in Brazil, Canada and Australia. Frequent co-authors include Luiz S. Oliveira, Robert Sabourin, Alessandro L. Koerich, Paulo Ricardo Lisboa de Almeida, Silvana Nisgoski, Fabrício Enembreck, Jhony Kaesemodel Pontes, Clinton Fookes, Paulo Cavalin and Yandre M. G. Costa. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and Sensors.
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.