Márjory Da Costa‐Abreu

632 citations
47 papers · 366 indexed · h-index 12

Márjory Da Costa‐Abreu

41 papers receiving 344 citations

Peers

Márjory Da Costa‐Abreu
Comparison fields: 5 of 73
  • Signal Processing 153
  • Computer Vision and Pattern Recognition 127
  • Information Systems 136
  • Human-Computer Interaction 32
  • Artificial Intelligence 153
Replace Romain Giot with:
Romain Giot France
David Martins de Matos Portugal
Mohsen Rashwan Egypt
Kenji Kita Japan
Keiichiro Hoashi Japan
Rajkumar Janakiraman Singapore
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Fuliang Weng United States
Oren Barkan Israel
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Citations per field
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Citations per year

Countries citing papers authored by Márjory Da Costa‐Abreu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Márjory Da Costa‐Abreu Line = papers co-authored together Márjory Da Costa‐Abreu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20211
4 20202
5 20201
6 202026
7 201923
8 20195
9 201911
10 201712
11 20172
12 20167
13
Improved age prediction from biometric data using multimodal configurations
20148
14 201324
15 201018
16 20083
17 20085
18 20071
19 200665
20 20062

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.

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2026