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Researcher · Imperial College London · United Kingdom

Stefanos P. Zafeiriou

Stefanos P. Zafeiriou publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics, on topics such as Face recognition and analysis, Face and Expression Recognition and Generative Adversarial Networks and Image Synthesis.

ORCID 0000-0002-5222-1740 OpenAlex
World rank
#51,460
of 7,710,434 ranked researchers
Rank in United Kingdom
#4,184
of 367,258
Works
460
Citations
23k
Citations per work
50.6
h-index
71
i10-index 228Top 0.3% in Computer Vision and Pattern Recognition
Stefanos P. Zafeiriou

What does Stefanos P. Zafeiriou research?

Stefanos P. Zafeiriou's work is mostly in Computer Science (67%), Engineering (8%), Psychology (4%).

Physical Sciences: 342 works · 74.3% of their workComputer Science: 307 works · 66.7% of their workComputer Vision and Pattern Recognition: 241 works · 52.4% of their workSignal Processing: 36 works · 7.9% of their workArtificial Intelligence: 29 works · 6.4% of their workEngineering: 35 works · 7.6% of their workComputational Mechanics: 35 works · 7.6% of their workEverything else: 88 works · 19.1% of their workSocial Sciences: 17 works · 3.8% of their workPsychology: 17 works · 3.8% of their workExperimental and Cognitive Psychology: 17 works · 3.8% of their workLife Sciences: 13 works · 2.8% of their workNeuroscience: 13 works · 2.8% of their workCognitive Neuroscience: 13 works · 2.8% of their workTHEIR WORKStefanos P.Zafeiriou460works
Life Sciences3%Physical Sciences74%Social Sciences4%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science30766.7%
    2. Engineering357.6%
  2. Everything else8819.1%
    1. Psychology173.8%
    1. Neuroscience132.8%
  1. 1Computer Vision and Pattern Recognition52% of their works
  2. 2Signal Processing8% of their works
  3. 3Computational Mechanics8% of their works
  4. 4Artificial Intelligence6% of their works
  5. 5Experimental and Cognitive Psychology4% of their works
  6. 6Cognitive Neuroscience3% of their works

Research topics

Which keywords describe Stefanos P. Zafeiriou's research?

The keywords of their largest research topics: Deep Learning, Face Recognition, Pose Estimation, Convolutional Neural Networks, Age Estimation, Facial Landmark Detection, Dimensionality Reduction and Feature Selection.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Deep Learning5077 topics
  2. Face Recognition3372 topics
  3. Pose Estimation2442 topics
  4. Convolutional Neural Networks2362 topics
  5. Age Estimation1971 topic
  6. Facial Landmark Detection1971 topic
  7. Dimensionality Reduction1401 topic
  8. Feature Selection1401 topic
  9. 3D Reconstruction701 topic
  10. Generative Adversarial Networks701 topic
  11. Image Synthesis701 topic
  12. Point Clouds701 topic
  13. Action Recognition471 topic
  14. Spatiotemporal Features471 topic
  15. Emotion Recognition441 topic
  16. Multimodal Data441 topic
  17. Feature Matching401 topic
  18. Local Descriptors401 topic
  19. Object Tracking391 topic
  20. Visual Tracking391 topic

Where does Stefanos P. Zafeiriou work?

Stefanos P. Zafeiriou's main affiliation in the publication record is Imperial College London, United Kingdom.

How many publications and citations does Stefanos P. Zafeiriou have?

OpenAlex counts 460 works and 23,284 citations for Stefanos P. Zafeiriou, an h-index of 71, ranking #51,460 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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