Pedro Ribeiro Mendes Júnior
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 6
- Machine Learning and ELM 2
- Data Stream Mining Techniques 2
- Machine Learning and Data Classification 2
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- Medical Image Segmentation Techniques 2
- Ocean Engineering top 10%
- Reservoir Engineering and Simulation Methods 3
- Media Technology top 10%
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- Time Series Analysis and Forecasting 3
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- Mineral Processing and Grinding 2
- Co-authors
- Anderson RochaRafael de Oliveira WerneckRicardo da Silva TorresWaldir R. De AlmeidaOtávio A. B. PenattiRoberto SouzaJacques WainerManuel Castro
- Journals
- IEEE Access (2 papers)Journal of Petroleum Science and Engineering (2 papers)Neural Computing and Applications (2 papers)
- Partner nations
- BrazilUnited StatesItaly
In The Last Decade
Pedro Ribeiro Mendes Júnior
15 papers receiving 350 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 178
- Computer Vision and Pattern Recognition 102
- Ocean Engineering 54
- Media Technology 26
- Signal Processing 25
Countries citing papers authored by Pedro Ribeiro Mendes Júnior
This map shows the geographic impact of Pedro Ribeiro Mendes Júnior'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 Pedro Ribeiro Mendes Júnior with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Ribeiro Mendes Júnior more than expected).
Fields of papers citing papers by Pedro Ribeiro Mendes Júnior
This network shows the impact of papers produced by Pedro Ribeiro Mendes Júnior. 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 Pedro Ribeiro Mendes Júnior. The network helps show where Pedro Ribeiro Mendes Júnior may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pedro Ribeiro Mendes Júnior, 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 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 0 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 46 | |
| 9 | 2021 | 13 | |
| 10 | 2019 | 17 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 13 | |
| 13 | 2017 | 2 | |
| 14 | 2016 | 174 | |
| 15 | 2015 | 15 | |
| 16 | 2014 | 30 | |
| 17 | 2011 | 12 | |
| 18 | 2008 | 1 |
About Pedro Ribeiro Mendes Júnior
Pedro Ribeiro Mendes Júnior is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 18 papers that have together received 354 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Time Series Analysis and Forecasting (3 papers), Reservoir Engineering and Simulation Methods (3 papers), Machine Learning and ELM (2 papers), Medical Image Segmentation Techniques (2 papers), Mineral Processing and Grinding (2 papers), Data Stream Mining Techniques (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Artificial Intelligence (178 citations), Computer Vision and Pattern Recognition (102 citations) and Ocean Engineering (54 citations). Pedro Ribeiro Mendes Júnior has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Anderson Rocha, Rafael de Oliveira Werneck, Ricardo da Silva Torres, Waldir R. De Almeida, Otávio A. B. Penatti, Roberto Souza, Jacques Wainer, Manuel Castro, Terrance E. Boult and Alessandra Davólio. Their work appears in journals such as IEEE Access, Journal of Petroleum Science and Engineering, Neural Computing and Applications, Computers in Biology and Medicine and Scientific Reports.
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.