Vítor Albiero

489 total citations
12 papers, 220 citations indexed

About

Vítor Albiero is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Vítor Albiero has authored 12 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Cognitive Neuroscience and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Vítor Albiero's work include Face recognition and analysis (10 papers), Face Recognition and Perception (6 papers) and Evolutionary Psychology and Human Behavior (5 papers). Vítor Albiero is often cited by papers focused on Face recognition and analysis (10 papers), Face Recognition and Perception (6 papers) and Evolutionary Psychology and Human Behavior (5 papers). Vítor Albiero collaborates with scholars based in United States and Brazil. Vítor Albiero's co-authors include Kevin W. Bowyer, Michael C. King, Luciano Silva, Olga Regina Pereira Bellon, Kai Zhang, Ying Qiu, Caner Hazırbaş and Cristian Canton Ferrer and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security and arXiv (Cornell University).

In The Last Decade

Vítor Albiero

12 papers receiving 210 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vítor Albiero United States 6 172 58 53 34 22 12 220
Cristian Canton Ferrer United States 6 125 0.7× 88 1.5× 22 0.4× 21 0.6× 55 2.5× 11 193
Géraldine Jeckeln United States 4 158 0.9× 49 0.8× 40 0.8× 129 3.8× 26 1.2× 7 248
Jacqueline G. Cavazos United States 5 167 1.0× 54 0.9× 39 0.7× 141 4.1× 25 1.1× 6 260
Samuel Weimer United States 4 190 1.1× 43 0.7× 102 1.9× 101 3.0× 10 0.5× 6 250
James D. Dunn Australia 7 151 0.9× 80 1.4× 17 0.3× 192 5.6× 13 0.6× 18 249
Silvan Mertes Germany 8 45 0.3× 26 0.4× 29 0.5× 18 0.5× 77 3.5× 26 183
Hee Lin Wang Singapore 6 216 1.3× 67 1.2× 84 1.6× 33 1.0× 28 1.3× 11 278
Akhil Raju India 4 149 0.9× 14 0.2× 27 0.5× 77 2.3× 23 1.0× 6 207
Fangmei Chen China 10 197 1.1× 126 2.2× 16 0.3× 49 1.4× 12 0.5× 17 269
Robert Walecki United Kingdom 7 155 0.9× 198 3.4× 62 1.2× 39 1.1× 71 3.2× 9 289

Countries citing papers authored by Vítor Albiero

Since Specialization
Citations

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

Fields of papers citing papers by Vítor Albiero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vítor Albiero

This figure shows the co-authorship network connecting the top 25 collaborators of Vítor Albiero. A scholar is included among the top collaborators of Vítor Albiero 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 Vítor Albiero. Vítor Albiero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Albiero, Vítor, et al.. (2023). Face Recognition Accuracy Across Demographics: Shining a Light Into the Problem. 1041–1050. 22 indexed citations
2.
Albiero, Vítor, et al.. (2023). The Gender Gap in Face Recognition Accuracy Is a Hairy Problem. 1–10. 15 indexed citations
4.
Albiero, Vítor, Kevin W. Bowyer, & Michael C. King. (2022). Face Regions Impact Recognition Accuracy Differently Across Demographics. 1–9. 4 indexed citations
5.
Albiero, Vítor, Kai Zhang, Michael C. King, & Kevin W. Bowyer. (2021). Gendered Differences in Face Recognition Accuracy Explained by Hairstyles, Makeup, and Facial Morphology. IEEE Transactions on Information Forensics and Security. 17. 127–137. 31 indexed citations
6.
Qiu, Ying, et al.. (2021). Does Face Recognition Error Echo Gender Classification Error?. 1. 1–8. 5 indexed citations
7.
Albiero, Vítor, et al.. (2020). Issues Related to Face Recognition Accuracy Varying Based on Race and Skin Tone. 1(1). 8–20. 79 indexed citations
8.
Albiero, Vítor & Kevin W. Bowyer. (2020). Is Face Recognition Sexist? No, Gendered Hairstyles and Biology Are. arXiv (Cornell University). 1 indexed citations
9.
King, Michael C., et al.. (2019). Characterizing the Variability in Face Recognition Accuracy Relative to Race. 2278–2285. 19 indexed citations
10.
Albiero, Vítor, Olga Regina Pereira Bellon, & Luciano Silva. (2018). Multi-Label Action Unit Detection on Multiple Head Poses with Dynamic Region Learning. 2037–2041. 4 indexed citations
12.
Albiero, Vítor, et al.. (2017). Face Analysis in the Wild. 9–16. 4 indexed citations

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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