Márjory Da Costa‐Abreu
- Signal Processing top 5%
- Biometric Identification and Security 13
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- Handwritten Text Recognition Techniques 9
- Face recognition and analysis 7
- Information Systems top 5%
- User Authentication and Security Systems 18
- Data Mining Algorithms and Applications 4
- Human-Computer Interaction top 10%
- Artificial Intelligence top 10%
- Hate Speech and Cyberbullying Detection 4
- Fuzzy Logic and Control Systems 4
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- Emotion and Mood Recognition 5
- Co-authors
- Michael FairhurstM.C. FairhurstAnne M. P. CanutoGeorge D. C. CavalcantiCheng LiMárcio KreutzStephen L. SmithLaurie R. Santos
- Journals
- Pattern Analysis and Applications (1 paper)International Journal of Environmental Research and Public Health (1 paper)IEEE Transactions on Human-Machine Systems (1 paper)
- Partner nations
- BrazilUnited KingdomCyprus
In The Last Decade
Márjory Da Costa‐Abreu
41 papers receiving 344 citations
Peers
Comparison fields: 5 of 73
- Signal Processing 153
- Computer Vision and Pattern Recognition 127
- Information Systems 136
- Human-Computer Interaction 32
- Artificial Intelligence 153
Countries citing papers authored by Márjory Da Costa‐Abreu
This map shows the geographic impact of Márjory Da Costa‐Abreu'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 Márjory Da Costa‐Abreu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Márjory Da Costa‐Abreu more than expected).
Fields of papers citing papers by Márjory Da Costa‐Abreu
This network shows the impact of papers produced by Márjory Da Costa‐Abreu. 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 Márjory Da Costa‐Abreu. The network helps show where Márjory Da Costa‐Abreu may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Márjory Da Costa‐Abreu, 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 | 2024 | 0 | |
| 3 | 2021 | 1 | |
| 4 | 2020 | 2 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 26 | |
| 7 | 2019 | 23 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 11 | |
| 10 | 2017 | 12 | |
| 11 | 2017 | 2 | |
| 12 | 2016 | 7 | |
| 13 | Improved age prediction from biometric data using multimodal configurations | 2014 | 8 |
| 14 | 2013 | 24 | |
| 15 | 2010 | 18 | |
| 16 | 2008 | 3 | |
| 17 | 2008 | 5 | |
| 18 | 2007 | 1 | |
| 19 | 2006 | 65 | |
| 20 | 2006 | 2 |
About Márjory Da Costa‐Abreu
Márjory Da Costa‐Abreu is a scholar working on Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 366 indexed citations. Recurring topics across this work include User Authentication and Security Systems (18 papers), Biometric Identification and Security (13 papers), Handwritten Text Recognition Techniques (9 papers), Face recognition and analysis (7 papers), Emotion and Mood Recognition (5 papers), Hate Speech and Cyberbullying Detection (4 papers), Data Mining Algorithms and Applications (4 papers) and Fuzzy Logic and Control Systems (4 papers). The work is most often cited by research in Signal Processing (153 citations), Computer Vision and Pattern Recognition (127 citations) and Information Systems (136 citations). Márjory Da Costa‐Abreu has collaborated with scholars based in Brazil, United Kingdom and Cyprus. Frequent co-authors include Michael Fairhurst, M.C. Fairhurst, Anne M. P. Canuto, George D. C. Cavalcanti, Cheng Li, Márcio Kreutz, Stephen L. Smith, Laurie R. Santos, Carlos N. Silla and Cheng Li. Their work appears in journals such as Pattern Analysis and Applications, International Journal of Environmental Research and Public Health, IEEE Transactions on Human-Machine Systems, Evolutionary Intelligence and The Analyst.
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.