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Researcher · TU Wien · Austria

Peter Filzmoser

Peter Filzmoser publishes mostly in Statistics and Probability, Artificial Intelligence and Environmental Engineering, on topics such as Geochemistry and Geologic Mapping, Advanced Statistical Methods and Models and Statistical Methods and Inference.

ORCID 0000-0002-8014-4682 OpenAlex
World rank
#176,436
of 7,710,434 ranked researchers
Rank in Austria
#1,403
of 43,330
Works
489
Citations
20k
Citations per work
41.6
h-index
69
i10-index 201Top 0.9% in Statistics and Probability
Peter Filzmoser

What does Peter Filzmoser research?

Peter Filzmoser's work is mostly in Mathematics (20%), Computer Science (19%), Environmental Science (5%).

Physical Sciences: 244 works · 50.0% of their workMathematics: 95 works · 19.5% of their workStatistics and Probability: 95 works · 19.5% of their workComputer Science: 92 works · 18.9% of their workArtificial Intelligence: 92 works · 18.9% of their workEnvironmental Science: 25 works · 5.1% of their workEnvironmental Engineering: 25 works · 5.1% of their workChemistry: 19 works · 3.9% of their workAnalytical Chemistry: 19 works · 3.9% of their workEngineering: 13 works · 2.6% of their workMechanics of Materials: 13 works · 2.6% of their workEverything else: 222 works · 45.3% of their workSocial Sciences: 23 works · 4.7% of their workDecision Sciences: 23 works · 4.7% of their workStatistics, Probability and Uncertainty: 23 works · 4.7% of their workTHEIR WORKPeter Filzmoser489works
Physical Sciences50%Social Sciences5%

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. Mathematics9519.5%
    2. Computer Science9218.9%
    3. Environmental Science255.1%
    4. Chemistry193.9%
    5. Engineering132.6%
  2. Everything else22245.3%
    1. Decision Sciences234.7%
  1. 1Statistics and Probability20% of their works
  2. 2Artificial Intelligence19% of their works
  3. 3Environmental Engineering5% of their works
  4. 4Statistics, Probability and Uncertainty5% of their works
  5. 5Analytical Chemistry4% of their works
  6. 6Mechanics of Materials3% of their works

Research topics

Which keywords describe Peter Filzmoser's research?

The keywords of their largest research topics: Machine Learning, Remote Sensing, Hyperspectral Imaging, Principal Component Analysis, Compositional Data Analysis, Mineral Prospectivity, Multicollinearity and Regression Analysis.

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. Machine Learning2032 topics
  2. Remote Sensing2032 topics
  3. Hyperspectral Imaging1922 topics
  4. Principal Component Analysis1872 topics
  5. Compositional Data Analysis1451 topic
  6. Mineral Prospectivity1451 topic
  7. Multicollinearity1401 topic
  8. Regression Analysis1401 topic
  9. Variable Selection1112 topics
  10. Lasso641 topic
  11. Regularization641 topic
  12. Digital Soil Mapping581 topic
  13. Geostatistics581 topic
  14. Healthcare Improvement561 topic
  15. Statistical Process Control561 topic
  16. Multivariate Calibration471 topic
  17. Near-Infrared Spectroscopy471 topic
  18. Pore Structure321 topic
  19. Shale Gas321 topic
  20. Contamination271 topic
  21. Heavy Metals271 topic

Where does Peter Filzmoser work?

Peter Filzmoser's main affiliation in the publication record is TU Wien, Austria.

How many publications and citations does Peter Filzmoser have?

OpenAlex counts 489 works and 20,333 citations for Peter Filzmoser, an h-index of 69, ranking #176,436 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.

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