Hugo Proença
- Signal Processing top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Information Systems top 1%
- Genetics top 10%
- Artificial Intelligence top 5%
- Co-authors
- Luı́s A. AlexandreJoão C. NevesSílvio FilipeRicardo SantosGil Nonato C. SantosFabio NarducciMaria De MarsicoMichele Nappi
- Topics
- Biometric Identification and Security (61 papers)Face recognition and analysis (34 papers)Video Surveillance and Tracking Methods (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- PortugalUnited StatesItaly
In The Last Decade
Hugo Proença
113 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 108
- Signal Processing 1.6k
- Computer Vision and Pattern Recognition 1.4k
- Information Systems 667
- Genetics 287
- Artificial Intelligence 241
Countries citing papers authored by Hugo Proença
This map shows the geographic impact of Hugo Proença'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 Hugo Proença with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugo Proença more than expected).
Fields of papers citing papers by Hugo Proença
This network shows the impact of papers produced by Hugo Proença. 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 Hugo Proença. The network helps show where Hugo Proença may publish in the future.
Co-authorship network of co-authors of Hugo Proença
This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Proença. A scholar is included among the top collaborators of Hugo Proença 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 Hugo Proença. Hugo Proença 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 | 2 | |
| 4 | 3 | |
| 5 | 33 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 21 | |
| 11 | 8 | |
| 12 | 0 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | Pose Switch-based Convolutional Neural Network for Clothing Analysis in Visual Surveillance Environment | 1 |
| 16 | Region-Based CNNs for Pedestrian Gender Recognition in Visual Surveillance Environments | 3 |
| 17 | Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems. | 5 |
| 18 | 15 | |
| 19 | 141 | |
| 20 | 142 |
About Hugo Proença
Hugo Proença is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Safety Research, having authored 118 papers that have together received 2.4k indexed citations. Recurring topics across this work include Biometric Identification and Security (61 papers), Face recognition and analysis (34 papers) and Video Surveillance and Tracking Methods (18 papers). The work is most often cited by research in Signal Processing (1.6k citations), Computer Vision and Pattern Recognition (1.4k citations) and Information Systems (667 citations). Hugo Proença has collaborated with scholars based in Portugal, United States and Italy. Frequent co-authors include Luı́s A. Alexandre, João C. Neves, Sílvio Filipe, Ricardo Santos, Gil Nonato C. Santos, Fabio Narducci, Maria De Marsico, Michele Nappi, Silvio Barra and Pedro R. M. Inácio. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.