Ana F. Sequeira
- Signal Processing top 5%
- Biometric Identification and Security 24
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- Face recognition and analysis 16
- Face and Expression Recognition 7
- Digital Media Forensic Detection 4
- Video Surveillance and Tracking Methods 2
- Safety Research top 10%
- Forensic Fingerprint Detection Methods 4
- Information Systems top 10%
- User Authentication and Security Systems 6
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- Forensic and Genetic Research 5
- Co-authors
- Jaime S. CardosoHélder P. OliveiraPedro C. NetoAna RebeloNaser DamerJames FerrymanJoão Ribeiro PintoFadi Boutros
- Partner nations
- PortugalGermanyUnited Kingdom
In The Last Decade
Ana F. Sequeira
30 papers receiving 419 citations
Peers
Comparison fields: 5 of 70
- Signal Processing 253
- Computer Vision and Pattern Recognition 222
- Catalysis 38
- Safety Research 44
- Information Systems 78
Countries citing papers authored by Ana F. Sequeira
This map shows the geographic impact of Ana F. Sequeira'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 Ana F. Sequeira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana F. Sequeira more than expected).
Fields of papers citing papers by Ana F. Sequeira
This network shows the impact of papers produced by Ana F. Sequeira. 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 Ana F. Sequeira. The network helps show where Ana F. Sequeira may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ana F. Sequeira, 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 | 2024 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 23 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 27 | |
| 10 | 2021 | 0 | |
| 11 | A robust fingerprint presentation attack detection method against unseen attacks through adversarial learning | 2020 | 6 |
| 12 | 2020 | 8 | |
| 13 | Adversarial learning for a robust iris presentation attack detection method against unseen attack presentations | 2019 | 6 |
| 14 | 2018 | 15 | |
| 15 | 2018 | 3 | |
| 16 | 2017 | 26 | |
| 17 | 2016 | 18 | |
| 18 | 2015 | 21 | |
| 19 | 2014 | 27 | |
| 20 | 2014 | 10 |
About Ana F. Sequeira
Ana F. Sequeira is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Safety Research, having authored 34 papers that have together received 426 indexed citations. Recurring topics across this work include Biometric Identification and Security (24 papers), Face recognition and analysis (16 papers), Face and Expression Recognition (7 papers), User Authentication and Security Systems (6 papers), Forensic and Genetic Research (5 papers), Forensic Fingerprint Detection Methods (4 papers), Digital Media Forensic Detection (4 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Signal Processing (253 citations), Computer Vision and Pattern Recognition (222 citations) and Catalysis (38 citations). Ana F. Sequeira has collaborated with scholars based in Portugal, Germany and United Kingdom. Frequent co-authors include Jaime S. Cardoso, Hélder P. Oliveira, Pedro C. Neto, Ana Rebelo, Naser Damer, James Ferryman, João Ribeiro Pinto, Fadi Boutros, Nuno M. T. Lourenço and Susana Barreiros. Their work appears in journals such as IEEE Access, Sensors, Green Chemistry, Information Fusion and IEEE Transactions on Biometrics Behavior and Identity Science.
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.