Luiz S. Oliveira
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- Handwritten Text Recognition Techniques 44
- Advanced Image and Video Retrieval Techniques 21
- Face and Expression Recognition 20
- Image Retrieval and Classification Techniques 17
- Artificial Intelligence top 0.2%
- Natural Language Processing Techniques 19
- Machine Learning and Data Classification 17
- Metaheuristic Optimization Algorithms Research 15
- Media Technology top 0.2%
- Signal Processing top 0.5%
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- Wood and Agarwood Research 15
- Co-authors
- Robert SabourinFábio Alexandre SpanholCaroline PetitjeanLaurent HeutteAlceu S. BrittoAlessandro L. KoerichLuiz G. HafemannEdson Justino
In The Last Decade
Luiz S. Oliveira
160 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Computer Vision and Pattern Recognition 3.6k
- Artificial Intelligence 3.6k
- Media Technology 913
- Signal Processing 794
- Radiology, Nuclear Medicine and Imaging 1.5k
Countries citing papers authored by Luiz S. Oliveira
This map shows the geographic impact of Luiz S. Oliveira'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 S. Oliveira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luiz S. Oliveira more than expected).
Fields of papers citing papers by Luiz S. Oliveira
This network shows the impact of papers produced by Luiz S. Oliveira. 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 S. Oliveira. The network helps show where Luiz S. Oliveira may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luiz S. Oliveira, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 29 | |
| 10 | 2020 | 17 | |
| 11 | 2019 | 15 | |
| 12 | 2018 | 256 | |
| 13 | Breast cancer histopathological image classification using Convolutional Neural Networksbreakdown → | 2016 | 617 |
| 14 | 2016 | 14 | |
| 15 | People counting in crowded scenes using multiple cameras | 2012 | 5 |
| 16 | Music genre recognition using spectrograms | 2011 | 66 |
| 17 | Modeling segmentation cuts using support vector machines | 2006 | 8 |
| 18 | Fusing High- and Low-Level Features for Handwritten Word Recognition | 2006 | 10 |
| 19 | 2005 | 55 | |
| 20 | 2005 | 11 |
About Luiz S. Oliveira
Luiz S. Oliveira is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 173 papers that have together received 6.7k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (44 papers), Advanced Image and Video Retrieval Techniques (21 papers), Face and Expression Recognition (20 papers), Natural Language Processing Techniques (19 papers), Image Retrieval and Classification Techniques (17 papers), Machine Learning and Data Classification (17 papers), Wood and Agarwood Research (15 papers) and Metaheuristic Optimization Algorithms Research (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.6k citations), Artificial Intelligence (3.6k citations) and Media Technology (913 citations). Luiz S. Oliveira has collaborated with scholars based in Brazil, Canada and France. Frequent co-authors include Robert Sabourin, Fábio Alexandre Spanhol, Caroline Petitjean, Laurent Heutte, Alceu S. Britto, Alessandro L. Koerich, Luiz G. Hafemann, Edson Justino, Paulo Cavalin and Yandre M. G. Costa. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.
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.