Vítor Fortes Rey
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Computer Networks and Communications
- Control and Systems Engineering
- Co-authors
- Paul LukowiczSungho SuhSizhen BianVitor A. M. JorgeEdson PrestesBo ZhouMara AbelDaniel Roggen
- Topics
- Context-Aware Activity Recognition Systems (24 papers)Human Pose and Action Recognition (14 papers)Anomaly Detection Techniques and Applications (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsSensors
In The Last Decade
Vítor Fortes Rey
33 papers receiving 336 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 189
- Artificial Intelligence 109
- Biomedical Engineering 89
- Computer Networks and Communications 57
- Control and Systems Engineering 48
Countries citing papers authored by Vítor Fortes Rey
This map shows the geographic impact of Vítor Fortes Rey'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 Vítor Fortes Rey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vítor Fortes Rey more than expected).
Fields of papers citing papers by Vítor Fortes Rey
This network shows the impact of papers produced by Vítor Fortes Rey. 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 Vítor Fortes Rey. The network helps show where Vítor Fortes Rey may publish in the future.
Co-authorship network of co-authors of Vítor Fortes Rey
This figure shows the co-authorship network connecting the top 25 collaborators of Vítor Fortes Rey. A scholar is included among the top collaborators of Vítor Fortes Rey 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 Vítor Fortes Rey. Vítor Fortes Rey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 8 | |
| 14 | 14 | |
| 15 | 35 | |
| 16 | Iterative Deep Compression : Compressing Deep Networks for Classification and Semantic Segmentation | 1 |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 42 | |
| 20 | LINUX/PCI: THE ESRF BEAMLINE CONTROL SYSTEM MODERNISATION | 1 |
About Vítor Fortes Rey
Vítor Fortes Rey is a scholar working on Computer Vision and Pattern Recognition, Acoustics and Ultrasonics and Human-Computer Interaction, having authored 43 papers that have together received 345 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (24 papers), Human Pose and Action Recognition (14 papers) and Anomaly Detection Techniques and Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (189 citations), Human-Computer Interaction (34 citations) and Artificial Intelligence (109 citations). Vítor Fortes Rey has collaborated with scholars based in Germany, Brazil and Finland. Frequent co-authors include Paul Lukowicz, Sungho Suh, Sizhen Bian, Vitor A. M. Jorge, Edson Prestes, Bo Zhou, Mara Abel, Daniel Roggen, Joel Luís Carbonera and Alberto Calatroni. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.
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.