Alceu S. Britto

1.8k total citations
57 papers, 1.1k citations indexed

About

Alceu S. Britto is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Alceu S. Britto has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 10 papers in Signal Processing. Recurrent topics in Alceu S. Britto's work include Handwritten Text Recognition Techniques (15 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Music and Audio Processing (7 papers). Alceu S. Britto is often cited by papers focused on Handwritten Text Recognition Techniques (15 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Music and Audio Processing (7 papers). Alceu S. Britto collaborates with scholars based in Brazil, Canada and Australia. Alceu S. Britto's 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 and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Sensors.

In The Last Decade

Alceu S. Britto

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alceu S. Britto Brazil 15 513 396 177 170 107 57 1.1k
Alessandro L. Koerich Brazil 26 1.2k 2.4× 437 1.1× 260 1.5× 196 1.2× 623 5.8× 112 1.9k
Doyen Sahoo Singapore 11 607 1.2× 428 1.1× 105 0.6× 37 0.2× 44 0.4× 21 1.3k
Marzuki Khalid Malaysia 19 273 0.5× 310 0.8× 57 0.3× 106 0.6× 58 0.5× 91 1.3k
Dawei Du United States 22 1.8k 3.6× 529 1.3× 200 1.1× 68 0.4× 31 0.3× 41 2.3k
Mohana India 22 856 1.7× 463 1.2× 146 0.8× 106 0.6× 96 0.9× 94 1.6k
Franz Kümmert Germany 18 466 0.9× 425 1.1× 54 0.3× 137 0.8× 108 1.0× 115 1.2k
Rubiyah Yusof Malaysia 17 250 0.5× 240 0.6× 122 0.7× 149 0.9× 9 0.1× 78 1.1k
Michael Fairhurst United Kingdom 14 479 0.9× 168 0.4× 79 0.4× 52 0.3× 248 2.3× 82 856
Fernando Alonso‐Fernandez Sweden 27 1.3k 2.5× 198 0.5× 144 0.8× 18 0.1× 1.3k 12.6× 92 2.1k
Xiong Chen China 15 240 0.5× 117 0.3× 48 0.3× 39 0.2× 23 0.2× 118 930

Countries citing papers authored by Alceu S. Britto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Costa, Yandre M. G., Lucas Teixeira, Rodolfo M. Pereira, et al.. (2022). COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers. Sensors. 22(19). 7303–7303. 9 indexed citations
3.
Britto, Alceu S., et al.. (2022). Exploring diversity in data complexity and classifier decision spaces for pool generation. Information Fusion. 89. 567–587. 7 indexed citations
4.
Viegas, Eduardo K., et al.. (2022). A motion-based approach for real-time detection of pornographic content in videos. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 1066–1073. 2 indexed citations
5.
Penna, Manoel C., et al.. (2019). Data Augmentation and Transfer Learning Applied to Charcoal Image Classification. 69–74. 12 indexed citations
6.
Lucio, Diego Rafael, Rayson Laroca, Evair Borges Severo, Alceu S. Britto, & David Menotti. (2018). Fully Connected Networks and Generative Neural Networks Applied to Sclera Segmentation.. arXiv (Cornell University). 2 indexed citations
7.
Oliveira, Luiz S., et al.. (2018). Handwritten digit segmentation: Is it still necessary?. Pattern Recognition. 78. 1–11. 23 indexed citations
8.
Britto, Alceu S., et al.. (2018). Automatic classification of native wood charcoal. Ecological Informatics. 46. 1–7. 14 indexed citations
9.
Britto, Alceu S., et al.. (2018). Fine-Grained Hierarchical Classification of Plant Leaf Images Using Fusion of Deep Models. 1–5. 11 indexed citations
10.
Britto, Alceu S., et al.. (2017). Multiple classifier system for plant leaf recognition. 1880–1885. 10 indexed citations
11.
Britto, Alceu S., et al.. (2016). Contribution of data complexity features on dynamic classifier selection. 4396–4403. 25 indexed citations
12.
Oliveira, Luiz S., et al.. (2015). Forest species recognition based on dynamic classifier selection and dissimilarity feature vector representation. Machine Vision and Applications. 26(2-3). 279–293. 23 indexed citations
13.
Britto, Alceu S., et al.. (2015). Combining overall and local class accuracies in an oracle-based method for dynamic ensemble selection. 16. 1–7. 12 indexed citations
14.
Britto, Alceu S., Robert Sabourin, & Luiz S. Oliveira. (2014). Dynamic selection of classifiers—A comprehensive review. Pattern Recognition. 47(11). 3665–3680. 224 indexed citations
15.
Oliveira, Luiz S., et al.. (2014). Forest species recognition using macroscopic images. Machine Vision and Applications. 25(4). 1019–1031. 77 indexed citations
16.
Koerich, Alessandro L., Luiz S. Oliveira, & Alceu S. Britto. (2010). Face recognition using selected 2DPCA coefficients. 5 indexed citations
17.
Cavalin, Paulo, Robert Sabourin, Ching Y. Suen, & Alceu S. Britto. (2008). Evaluation of incremental learning algorithms for HMM in the recognition of alphanumeric characters. Pattern Recognition. 42(12). 3241–3253. 18 indexed citations
18.
Oliveira, Luiz S., et al.. (2006). Modeling segmentation cuts using support vector machines. HAL (Le Centre pour la Communication Scientifique Directe). 8 indexed citations
19.
Koerich, Alessandro L., Alceu S. Britto, Luiz S. Oliveira, & Robert Sabourin. (2006). Fusing High- and Low-Level Features for Handwritten Word Recognition. HAL (Le Centre pour la Communication Scientifique Directe). 10 indexed citations
20.
Britto, Alceu S.. (2004). Complementary features combined in an HMM-based system to recognize handwritten digits. 18. 670–675. 4 indexed citations

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.

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