Oeslle Lucena
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Neurology
- Artificial Intelligence
- Co-authors
- Roberto LotufoLetícia RittnerRoberto SouzaRichard FrayneDavid G. GobbiSimone AppenzellerSébastien OurselinRachel Sparks
- Topics
- Advanced Neuroimaging Techniques and Applications (5 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)EEG and Brain-Computer Interfaces (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageJournal of Neuroscience Methods
- Partner nations
- United KingdomBrazilCanada
In The Last Decade
Oeslle Lucena
11 papers receiving 237 citations
Peers
Comparison fields: 5 of 57
- Radiology, Nuclear Medicine and Imaging 152
- Computer Vision and Pattern Recognition 82
- Cognitive Neuroscience 41
- Neurology 37
- Artificial Intelligence 31
Countries citing papers authored by Oeslle Lucena
This map shows the geographic impact of Oeslle Lucena'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 Oeslle Lucena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oeslle Lucena more than expected).
Fields of papers citing papers by Oeslle Lucena
This network shows the impact of papers produced by Oeslle Lucena. 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 Oeslle Lucena. The network helps show where Oeslle Lucena may publish in the future.
Co-authorship network of co-authors of Oeslle Lucena
This figure shows the co-authorship network connecting the top 25 collaborators of Oeslle Lucena. A scholar is included among the top collaborators of Oeslle Lucena 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 Oeslle Lucena. Oeslle Lucena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Synthetic Sleep EEG Signal Generation using Latent Diffusion Models | 3 |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 28 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | 36 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 135 | |
| 12 | 7 |
About Oeslle Lucena
Oeslle Lucena is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 12 papers that have together received 238 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (152 citations), Neurology (37 citations) and Computer Vision and Pattern Recognition (82 citations). Oeslle Lucena has collaborated with scholars based in United Kingdom, Brazil and Canada. Frequent co-authors include Roberto Lotufo, Letícia Rittner, Roberto Souza, Richard Frayne, David G. Gobbi, Simone Appenzeller, Sébastien Ourselin, Rachel Sparks, Keyoumars Ashkan and Vejay N. Vakharia. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Journal of Neuroscience Methods.
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.