Rogério Feris
- Computer Vision and Pattern Recognition top 2%
- Experimental and Cognitive Psychology top 10%
- Human-Computer Interaction top 5%
- Artificial Intelligence
- Signal Processing top 10%
- Co-authors
- Changbo HuYa ChangMatthew TurkVolker KrügerRoberto M. CésarKentaro ToyamaJim GemmellChung-Ching Lin
- Topics
- Face and Expression Recognition (9 papers)Face recognition and analysis (7 papers)Advanced Image and Video Retrieval Techniques (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionExperimental and Cognitive Psychology
- Partner nations
- United StatesBrazilSingapore
In The Last Decade
Rogério Feris
26 papers receiving 449 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 424
- Experimental and Cognitive Psychology 116
- Human-Computer Interaction 71
- Artificial Intelligence 64
- Signal Processing 52
Countries citing papers authored by Rogério Feris
This map shows the geographic impact of Rogério Feris'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 Rogério Feris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rogério Feris more than expected).
Fields of papers citing papers by Rogério Feris
This network shows the impact of papers produced by Rogério Feris. 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 Rogério Feris. The network helps show where Rogério Feris may publish in the future.
Co-authorship network of co-authors of Rogério Feris
This figure shows the co-authorship network connecting the top 25 collaborators of Rogério Feris. A scholar is included among the top collaborators of Rogério Feris 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 Rogério Feris. Rogério Feris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | Unsupervised Model Selection for View-Invariant Object Detection in Surveillance Environments | 2 |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 17 | |
| 12 | 3 | |
| 13 | 46 | |
| 14 | 136 | |
| 15 | 22 | |
| 16 | 18 | |
| 17 | 61 | |
| 18 | 5 | |
| 19 | TLA Based Face Tracking | 9 |
| 20 | 12 |
About Rogério Feris
Rogério Feris is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 27 papers that have together received 494 indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Face recognition and analysis (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (424 citations), Human-Computer Interaction (71 citations) and Experimental and Cognitive Psychology (116 citations). Rogério Feris has collaborated with scholars based in United States, Brazil and Singapore. Frequent co-authors include Changbo Hu, Ya Chang, Matthew Turk, Matthew Turk, Volker Krüger, Roberto M. César, Kentaro Toyama, Jim Gemmell, Chung-Ching Lin and Ying Hung. Their work appears in journals such as Image and Vision Computing, Real-Time Imaging and Journal of the Brazilian Computer Society.
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.