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Researcher · Halmstad University · Sweden

Fernando Alonso‐Fernandez

Fernando Alonso‐Fernandez publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Information Systems, on topics such as Biometric Identification and Security, Face recognition and analysis and User Authentication and Security Systems.

ORCID 0000-0002-1400-346X OpenAlex
World rank
#235,705
of 7,710,434 ranked researchers
Rank in Sweden
#2,622
of 71,437
Works
198
Citations
4.3k
Citations per work
21.8
h-index
36
i10-index 84Top 3.1% in Computer Vision and Pattern Recognition
Fernando Alonso‐Fernandez

What does Fernando Alonso‐Fernandez research?

Fernando Alonso‐Fernandez's work is mostly in Computer Science (68%), Social Sciences (4%), Engineering (4%).

Physical Sciences: 141 works · 71.2% of their workComputer Science: 134 works · 67.5% of their workComputer Vision and Pattern Recognition: 67 works · 33.7% of their workSignal Processing: 41 works · 20.6% of their workInformation Systems: 15 works · 7.6% of their workArtificial Intelligence: 11 works · 5.6% of their workEngineering: 7 works · 3.7% of their workMedia Technology: 7 works · 3.7% of their workEverything else: 49 works · 24.7% of their workSocial Sciences: 8 works · 4.1% of their workSocial Sciences: 8 works · 4.1% of their workSafety Research: 8 works · 4.1% of their workTHEIR WORKFernandoAlonso‐Fernandez198works
Physical Sciences71%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 Science13467.5%
    2. Engineering73.7%
  2. Everything else4924.7%
    1. Social Sciences84.1%
  1. 1Computer Vision and Pattern Recognition34% of their works
  2. 2Signal Processing21% of their works
  3. 3Information Systems8% of their works
  4. 4Artificial Intelligence6% of their works
  5. 5Safety Research4% of their works
  6. 6Media Technology4% of their works

Research topics

Which keywords describe Fernando Alonso‐Fernandez's research?

The keywords of their largest research topics: Authentication, Security, Biometric Recognition, Privacy, Convolutional Neural Networks, Deep Learning, Face Recognition and Age Estimation.

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 21 words, with their numbers
  1. Authentication1462 topics
  2. Security1462 topics
  3. Biometric Recognition1091 topic
  4. Privacy1091 topic
  5. Convolutional Neural Networks994 topics
  6. Deep Learning803 topics
  7. Face Recognition782 topics
  8. Age Estimation541 topic
  9. Facial Landmark Detection541 topic
  10. Biometrics371 topic
  11. Passwords371 topic
  12. Dimensionality Reduction241 topic
  13. Feature Selection241 topic
  14. Chemical Imaging221 topic
  15. Fingermark Residue221 topic
  16. Handwriting Recognition191 topic
  17. Text Detection191 topic
  18. Object Tracking141 topic
  19. Visual Tracking141 topic
  20. Image Recognition121 topic
  21. Object Detection121 topic

Where does Fernando Alonso‐Fernandez work?

Fernando Alonso‐Fernandez's main affiliation in the publication record is Halmstad University, Sweden.

How many publications and citations does Fernando Alonso‐Fernandez have?

OpenAlex counts 198 works and 4,321 citations for Fernando Alonso‐Fernandez, an h-index of 36, ranking #235,705 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.

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