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Researcher · Federation University · Australia

Louisa Lam

Louisa Lam publishes mostly in Computer Vision and Pattern Recognition, Clinical Psychology and General Health Professions, on topics such as Handwritten Text Recognition Techniques, Image Processing and 3D Reconstruction and Healthcare professionals’ stress and burnout.

ORCID 0000-0002-1439-0893 OpenAlex
World rank
#188,664
of 7,710,434 ranked researchers
Rank in Australia
#6,564
of 140,210
Works
184
Citations
7.2k
Citations per work
39.3
h-index
37
i10-index 83Top 2.9% in Computer Vision and Pattern Recognition
Louisa Lam

What does Louisa Lam research?

Louisa Lam's work is mostly in Computer Science (21%), Medicine (11%), Psychology (8%).

Everything else: 98 works · 53.0% of their workPhysical Sciences: 38 works · 20.6% of their workComputer Science: 38 works · 20.6% of their workComputer Vision and Pattern Recognition: 28 works · 15.1% of their workArtificial Intelligence: 10 works · 5.5% of their workHealth Sciences: 34 works · 18.4% of their workMedicine: 20 works · 10.8% of their workCardiology and Cardiovascular Medicine: 12 works · 6.5% of their workPhysiology: 8 works · 4.3% of their workHealth Professions: 14 works · 7.6% of their workGeneral Health Professions: 14 works · 7.6% of their workSocial Sciences: 15 works · 8.0% of their workPsychology: 15 works · 8.0% of their workClinical Psychology: 15 works · 8.0% of their workTHEIR WORKLouisa Lam184works
Physical Sciences21%Health Sciences18%Social Sciences8%

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 else9853.0%
    1. Computer Science3820.6%
    1. Medicine2010.8%
    2. Health Professions147.6%
    1. Psychology158.0%
  1. 1Computer Vision and Pattern Recognition15% of their works
  2. 2Clinical Psychology8% of their works
  3. 3General Health Professions8% of their works
  4. 4Cardiology and Cardiovascular Medicine6% of their works
  5. 5Artificial Intelligence6% of their works
  6. 6Physiology4% of their works

Research topics

Which keywords describe Louisa Lam's research?

The keywords of their largest research topics: Convolutional Neural Networks, Job Satisfaction, Handwriting Recognition, Text Detection, Anxiety, Depression, Mental Health and Fragmented Objects.

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. Convolutional Neural Networks382 topics
  2. Job Satisfaction342 topics
  3. Handwriting Recognition291 topic
  4. Text Detection291 topic
  5. Anxiety272 topics
  6. Depression272 topics
  7. Mental Health212 topics
  8. Fragmented Objects181 topic
  9. Reconstruction181 topic
  10. Nursing Staffing171 topic
  11. Patient Outcomes171 topic
  12. Physician Burnout171 topic
  13. Work-Life Balance171 topic
  14. Guidelines121 topic
  15. Heart Failure121 topic
  16. Adversity111 topic
  17. Psychological Resilience111 topic
  18. COVID-19101 topic
  19. Pandemic101 topic
  20. ALPR91 topic
  21. Automatic License Plate Recognition91 topic

Where does Louisa Lam work?

Louisa Lam's main affiliation in the publication record is Federation University, Australia.

How many publications and citations does Louisa Lam have?

OpenAlex counts 184 works and 7,226 citations for Louisa Lam, an h-index of 37, ranking #188,664 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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