Mateus Espadoto
Impact in
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- Data Visualization and Analytics
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
Papers in
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- Data Visualization and Analytics 8
- Image Retrieval and Classification Techniques 2
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- Neural Networks and Applications 3
- Anomaly Detection Techniques and Applications 3
- Data Analysis with R 3
- Data Stream Mining Techniques 2
- Co-authors
- Alexandru Telea (15 shared papers)Nina S. T. Hirata (7 shared papers)Andreas Kerren (1 shared paper)Rafael M. Martins (1 shared paper)Roberto Hirata (4 shared papers)Lucas Pedrosa Soares (1 shared paper)Carlos Henrique Grohmann (1 shared paper)Evanthia Dimara (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (1 paper)Computers & Graphics (1 paper)International Journal of Remote Sensing (1 paper)Computer Graphics Forum (1 paper)SN Computer Science (2 papers)
- Partner nations
- BrazilNetherlandsUnited States
In The Last Decade
Mateus Espadoto
17 papers receiving 300 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 167
- Computer Graphics and Computer-Aided Design 16
- Artificial Intelligence 142
- Biophysics 25
- Signal Processing 27
Countries citing papers authored by Mateus Espadoto
This map shows the geographic impact of Mateus Espadoto'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 Mateus Espadoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateus Espadoto more than expected).
Fields of papers citing papers by Mateus Espadoto
This network shows the impact of papers produced by Mateus Espadoto. 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 Mateus Espadoto. The network helps show where Mateus Espadoto may publish in the future.
Co-authors
The 16 scholars most cited alongside Mateus Espadoto, 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 | 2019 | 192 | |
| 2 | 2019 | 27 | |
| 3 | 2023 | 13 | |
| 4 | 2021 | 11 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 9 | |
| 7 | 2020 | 8 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2019 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2019 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2022 | 1 |
About Mateus Espadoto
Mateus Espadoto is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Instrumentation and Computational Mechanics, having authored 17 papers that have together received 307 indexed citations. Recurring topics across this work include Data Visualization and Analytics (8 papers), Neural Networks and Applications (3 papers), Anomaly Detection Techniques and Applications (3 papers), Data Analysis with R (3 papers), Data Stream Mining Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Astronomical Observations and Instrumentation (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (167 citations), Computer Graphics and Computer-Aided Design (16 citations), Artificial Intelligence (142 citations), Biophysics (25 citations) and Signal Processing (27 citations). Mateus Espadoto has collaborated with scholars based in Brazil, Netherlands and United States. Frequent co-authors include Alexandru Telea, Nina S. T. Hirata, Andreas Kerren, Rafael M. Martins, Roberto Hirata, Lucas Pedrosa Soares, Carlos Henrique Grohmann, Evanthia Dimara, Lingyun Yu and Remco Chang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, International Journal of Remote Sensing, Computer Graphics Forum and SN Computer Science.
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.