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Researcher · Louisiana State University · United States

Brian D. Marx

Brian D. Marx publishes mostly in Statistics and Probability, Artificial Intelligence and Analytical Chemistry, on topics such as Advanced Statistical Methods and Models, Statistical Methods and Inference and Statistical Methods and Bayesian Inference.

OpenAlex
World rank
#760,733
of 7,710,434 ranked researchers
Rank in United States
#255,130
of 1,627,098
Works
127
Citations
7.9k
Citations per work
62.4
h-index
35
i10-index 58Top 7.2% in Statistics and Probability
Brian D. Marx

What does Brian D. Marx research?

Brian D. Marx's work is mostly in Mathematics (28%), Computer Science (5%), Chemistry (3%).

Everything else: 72 works · 56.9% of their workPhysical Sciences: 50 works · 39.7% of their workMathematics: 36 works · 28.5% of their workStatistics and Probability: 32 works · 25.3% of their workApplied Mathematics: 4 works · 3.2% of their workComputer Science: 6 works · 4.6% of their workArtificial Intelligence: 6 works · 4.6% of their workChemistry: 4 works · 3.4% of their workAnalytical Chemistry: 4 works · 3.4% of their workEnvironmental Science: 4 works · 3.2% of their workEcology: 4 works · 3.2% of their workHealth Sciences: 4 works · 3.4% of their workMedicine: 4 works · 3.4% of their workPhysiology: 4 works · 3.4% of their workTHEIR WORKBrian D. Marx127works
Physical Sciences40%Health Sciences3%

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 else7256.9%
    1. Mathematics3628.5%
    2. Computer Science64.6%
    3. Chemistry43.4%
    4. Environmental Science43.2%
    1. Medicine43.4%
  1. 1Statistics and Probability25% of their works
  2. 2Artificial Intelligence5% of their works
  3. 3Analytical Chemistry3% of their works
  4. 4Physiology3% of their works
  5. 5Applied Mathematics3% of their works
  6. 6Ecology3% of their works

Research topics

Which keywords describe Brian D. Marx's research?

The keywords of their largest research topics: Principal Component Analysis, Multicollinearity, Regression Analysis, Variable Selection, Lasso, Regularization, Bayesian Modeling and Multiple Imputation.

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 18 words, with their numbers
  1. Principal Component Analysis542 topics
  2. Multicollinearity431 topic
  3. Regression Analysis431 topic
  4. Variable Selection402 topics
  5. Lasso291 topic
  6. Regularization291 topic
  7. Bayesian Modeling121 topic
  8. Multiple Imputation121 topic
  9. Multivariate Calibration111 topic
  10. Near-Infrared Spectroscopy111 topic
  11. Singular Spectrum Analysis111 topic
  12. Total Least Squares111 topic
  13. Coastal Protection81 topic
  14. Mangrove Forests81 topic
  15. Gut Microbiota71 topic
  16. Ketogenic Diet71 topic
  17. Low-Carbohydrate Diet71 topic
  18. Microbial Communities71 topic

Where does Brian D. Marx work?

Brian D. Marx's main affiliation in the publication record is Louisiana State University, United States.

How many publications and citations does Brian D. Marx have?

OpenAlex counts 127 works and 7,927 citations for Brian D. Marx, an h-index of 35, ranking #760,733 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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