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Researcher · Alberta Bible College · Canada

Micheal Lanham

Micheal Lanham publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Education, on topics such as Computational Physics and Python Applications, Anomaly Detection Techniques and Applications and Generative Adversarial Networks and Image Synthesis.

OpenAlex
World rank
#5,089,878
of 7,710,434 ranked researchers
Rank in Canada
#149,249
of 183,316
Works
15
Citations
12
Citations per work
0.8
h-index
2
i10-index 0Top 98% in Artificial Intelligence
Micheal Lanham

What does Micheal Lanham research?

Micheal Lanham's work is mostly in Computer Science (67%), Decision Sciences (8%), Materials Science (4%).

Physical Sciences: 11 works · 70.8% of their workComputer Science: 10 works · 66.6% of their workArtificial Intelligence: 7 works · 45.8% of their workComputer Vision and Pattern Recognition: 3 works · 20.8% of their workMaterials Science: 1 works · 4.2% of their workMaterials Chemistry: 1 works · 4.2% of their workEverything else: 2 works · 16.6% of their workSocial Sciences: 2 works · 12.6% of their workDecision Sciences: 1 works · 8.4% of their workInformation Systems and Management: 1 works · 4.2% of their workManagement Science and Operations Research: 1 works · 4.2% of their workSocial Sciences: 1 works · 4.2% of their workEducation: 1 works · 4.2% of their workTHEIR WORKMicheal Lanham15works
Physical Sciences71%Social Sciences13%

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 Science1066.6%
    2. Materials Science14.2%
  2. Everything else216.6%
    1. Decision Sciences18.4%
    2. Social Sciences14.2%
  1. 1Artificial Intelligence46% of their works
  2. 2Computer Vision and Pattern Recognition21% of their works
  3. 3Education4% of their works
  4. 4Information Systems and Management4% of their works
  5. 5Materials Chemistry4% of their works
  6. 6Management Science and Operations Research4% of their works

Research topics

Which keywords describe Micheal Lanham's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Neural Networks, Python, Scientific Computing, Anomaly Detection, Generative Adversarial Networks and Image Synthesis.

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. Machine Learning64 topics
  2. Deep Learning53 topics
  3. Neural Networks53 topics
  4. Python31 topic
  5. Scientific Computing31 topic
  6. Anomaly Detection21 topic
  7. Generative Adversarial Networks21 topic
  8. Image Synthesis21 topic
  9. Unsupervised21 topic
  10. Adversarial Examples11 topic
  11. Classification11 topic
  12. Earthquake Detection11 topic
  13. Education11 topic
  14. Genetic Programming11 topic
  15. Interpretable Models11 topic
  16. Machine Learning Interpretability11 topic
  17. Neuroscience11 topic
  18. Robustness11 topic
  19. Seismic Signals11 topic

Where does Micheal Lanham work?

Micheal Lanham's main affiliation in the publication record is Alberta Bible College, Canada.

How many publications and citations does Micheal Lanham have?

OpenAlex counts 15 works and 12 citations for Micheal Lanham, an h-index of 2, ranking #5,089,878 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.

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