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Researcher · MacEwan University · Canada

Brian C. Franczak

Brian C. Franczak publishes mostly in Artificial Intelligence, Statistics and Probability and Molecular Biology, on topics such as Bayesian Methods and Mixture Models, Statistical Methods and Bayesian Inference and Computational Drug Discovery Methods.

ORCID 0000-0003-0144-0238 OpenAlex
World rank
#2,314,328
of 7,710,434 ranked researchers
Rank in Canada
#76,158
of 183,316
Works
42
Citations
605
Citations per work
14.4
h-index
12
i10-index 13Top 32% in Artificial Intelligence
Brian C. Franczak

What does Brian C. Franczak research?

Brian C. Franczak's work is mostly in Computer Science (26%), Mathematics (17%), Biochemistry, Genetics and Molecular Biology (5%).

Physical Sciences: 22 works · 51.6% of their workComputer Science: 11 works · 26.4% of their workArtificial Intelligence: 9 works · 21.1% of their workComputational Theory and Mathematics: 2 works · 5.3% of their workMathematics: 7 works · 16.8% of their workStatistics and Probability: 7 works · 16.8% of their workChemistry: 2 works · 4.2% of their workSpectroscopy: 2 works · 4.2% of their workEnvironmental Science: 2 works · 4.2% of their workEcology: 2 works · 4.2% of their workEverything else: 18 works · 43.1% of their workLife Sciences: 2 works · 5.3% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 5.3% of their workMolecular Biology: 2 works · 5.3% of their workTHEIR WORKBrian C. Franczak42works
Life Sciences5%Physical Sciences52%

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 Science1126.4%
    2. Mathematics716.8%
    3. Chemistry24.2%
    4. Environmental Science24.2%
  2. Everything else1843.1%
    1. Biochemistry, Genetics and Molecular Biology25.3%
  1. 1Artificial Intelligence21% of their works
  2. 2Statistics and Probability17% of their works
  3. 3Molecular Biology5% of their works
  4. 4Computational Theory and Mathematics5% of their works
  5. 5Ecology4% of their works
  6. 6Spectroscopy4% of their works

Research topics

Which keywords describe Brian C. Franczak's research?

The keywords of their largest research topics: Clustering, Mixture Models, Bayesian Modeling, Multiple Imputation, Molecular Docking, Virtual Screening, Absolute Configuration and Chiroptical Spectroscopy.

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 16 words, with their numbers
  1. Clustering141 topic
  2. Mixture Models141 topic
  3. Bayesian Modeling91 topic
  4. Multiple Imputation91 topic
  5. Molecular Docking51 topic
  6. Virtual Screening51 topic
  7. Absolute Configuration41 topic
  8. Chiroptical Spectroscopy41 topic
  9. Clustering Algorithms41 topic
  10. K-means41 topic
  11. Multicollinearity41 topic
  12. Regression Analysis41 topic
  13. Consumer Perception31 topic
  14. Natural Selection31 topic
  15. Phenotypic Plasticity31 topic
  16. Sensory Analysis31 topic

Where does Brian C. Franczak work?

Brian C. Franczak's main affiliation in the publication record is MacEwan University, Canada.

How many publications and citations does Brian C. Franczak have?

OpenAlex counts 42 works and 605 citations for Brian C. Franczak, an h-index of 12, ranking #2,314,328 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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