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Researcher · West Virginia University · United States

Michael Patrick Martin

Michael Patrick Martin publishes mostly in Computer Vision and Pattern Recognition, Astronomy and Astrophysics and Signal Processing, on topics such as Face and Expression Recognition, Face recognition and analysis and Biometric Identification and Security.

ORCID 0000-0002-9352-6647 OpenAlex
World rank
#4,506,862
of 7,710,434 ranked researchers
Rank in United States
#1,198,733
of 1,627,098
Works
19
Citations
79
Citations per work
4.2
h-index
5
i10-index 3Top 87% in Computer Vision and Pattern Recognition
Michael Patrick Martin

What does Michael Patrick Martin research?

Michael Patrick Martin's work is mostly in Computer Science (31%), Medicine (8%), Physics and Astronomy (6%).

Everything else: 9 works · 49.8% of their workPhysical Sciences: 7 works · 37.6% of their workComputer Science: 6 works · 31.3% of their workComputer Vision and Pattern Recognition: 5 works · 25.0% of their workSignal Processing: 1 works · 6.3% of their workPhysics and Astronomy: 1 works · 6.3% of their workAstronomy and Astrophysics: 1 works · 6.3% of their workHealth Sciences: 2 works · 8.4% of their workMedicine: 2 works · 8.4% of their workPublic Health, Environmental and Occupational Health: 1 works · 4.2% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 4.2% of their workSocial Sciences: 1 works · 4.2% of their workSocial Sciences: 1 works · 4.2% of their workCultural Studies: 1 works · 4.2% of their workTHEIR WORKMichael PatrickMartin19works
Physical Sciences38%Health Sciences8%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. Everything else949.8%
    1. Computer Science631.3%
    2. Physics and Astronomy16.3%
    1. Medicine28.4%
    1. Social Sciences14.2%
  1. 1Computer Vision and Pattern Recognition25% of their works
  2. 2Astronomy and Astrophysics6% of their works
  3. 3Signal Processing6% of their works
  4. 4Cultural Studies4% of their works
  5. 5Public Health, Environmental and Occupational Health4% of their works
  6. 6Radiology, Nuclear Medicine and Imaging4% of their works

Research topics

Which keywords describe Michael Patrick Martin's research?

The keywords of their largest research topics: Face Recognition, Deep Learning, Local Binary Patterns, Age Estimation, Biometric Recognition, Dimensionality Reduction, Facial Landmark Detection 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.

All 19 words, with their numbers
  1. Face Recognition62 topics
  2. Deep Learning52 topics
  3. Local Binary Patterns52 topics
  4. Age Estimation31 topic
  5. Biometric Recognition31 topic
  6. Dimensionality Reduction31 topic
  7. Facial Landmark Detection31 topic
  8. Feature Selection31 topic
  9. Security31 topic
  10. Body Piercings21 topic
  11. Content-Based Image Retrieval21 topic
  12. Feature Matching21 topic
  13. Local Descriptors21 topic
  14. Shape Matching21 topic
  15. Solar System Abundances21 topic
  16. Tattoos21 topic
  17. Terrestrial Planets21 topic
  18. Craniosynostosis11 topic
  19. Neural Crest11 topic

Where does Michael Patrick Martin work?

Michael Patrick Martin's main affiliation in the publication record is West Virginia University, United States.

How many publications and citations does Michael Patrick Martin have?

OpenAlex counts 19 works and 79 citations for Michael Patrick Martin, an h-index of 5, ranking #4,506,862 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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