André Anjos

28 papers receiving 1.8k citations

Hit Papers

On the effectiveness of local binary patterns in face anti-spoofing 2012 · 486 citations
4860+4+9Years since publication100200300400

Peers

André Anjos
Comparison fields: 5 of 81
  • Signal Processing 1.6k
  • Computer Vision and Pattern Recognition 1.4k
  • Information Systems 425
  • Health Informatics 8
  • Artificial Intelligence 172
Replace Ajita Rattani with:
Ajita Rattani United States
Raúl Sánchez-Reillo Spain
Samarth Bharadwaj India
Yingbo Zhou United States
Lu Yang China
Amin Jourabloo United States
Krešimir Delač Croatia
Chenxu Zhao China
Yunxiao Qin China
Graham Leedham Singapore
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Citations per field
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Citations per year

Countries citing papers authored by André Anjos

Since Specialization
Citations

This map shows the geographic impact of André Anjos'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 André Anjos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Anjos more than expected).

Fields of papers citing papers by André Anjos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by André Anjos. 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 André Anjos. The network helps show where André Anjos may publish in the future.

Co-authors

The 25 scholars most cited alongside André Anjos, 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 André Anjos Line = papers co-authored together André Anjos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On the effectiveness of local binary patterns in face anti-spoofing
Hit paper breakdown →
2012486
2 2011218
3 2014192
4 2013182
5 2012110
6 2013108
7 201389
8 201465
9 201855
10 201854
11 202250
12 201544
13 201643
14 201341
15 202338
16
Continuously Reproducing Toolchains in Pattern Recognition and Machine Learning Experiments
201727
17 200521
18 202014
19 20189
20 20049

About André Anjos

André Anjos is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Information Systems, Radiology, Nuclear Medicine and Imaging and Nuclear and High Energy Physics, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Biometric Identification and Security (13 papers), Face recognition and analysis (10 papers), User Authentication and Security Systems (7 papers), Face and Expression Recognition (4 papers), Particle Detector Development and Performance (4 papers), Retinal Imaging and Analysis (3 papers), Retinal and Optic Conditions (3 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Signal Processing (1.6k citations), Computer Vision and Pattern Recognition (1.4k citations), Information Systems (425 citations), Health Informatics (8 citations) and Artificial Intelligence (172 citations). André Anjos has collaborated with scholars based in Switzerland, Brazil and United Kingdom. Frequent co-authors include Sébastien Marcel, Ivana Chingovska, Tiago de Freitas Pereira, José Mario De Martino, Matti Pietikäinen, Jukka Komulainen, Abdenour Hadid, Manuel Günther, Roy Wallace and Chris McCool. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Scientific Reports, IEEE Access and The International Journal of Tuberculosis and Lung Disease.

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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