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Researcher · Educational Testing Service · United States

Matthias von Davier

Matthias von Davier publishes mostly in Management Science and Operations Research, Statistics and Probability and Artificial Intelligence, on topics such as Psychometric Methodologies and Testing, Advanced Statistical Modeling Techniques and Statistical Methods and Bayesian Inference.

ORCID 0000-0003-1298-9701 OpenAlex
World rank
#174,634
of 7,710,434 ranked researchers
Rank in United States
#65,267
of 1,627,098
Works
198
Citations
4.9k
Citations per work
24.5
h-index
38
i10-index 93Top 3% in Management Science and Operations Research
Matthias von Davier

What does Matthias von Davier research?

Matthias von Davier's work is mostly in Decision Sciences (22%), Computer Science (21%), Mathematics (14%).

Social Sciences: 72 works · 36.5% of their workDecision Sciences: 44 works · 22.2% of their workManagement Science and Operations Research: 44 works · 22.2% of their workSocial Sciences: 18 works · 9.2% of their workEducation: 18 works · 9.2% of their workPsychology: 10 works · 5.1% of their workDevelopmental and Educational Psychology: 10 works · 5.1% of their workPhysical Sciences: 69 works · 35.0% of their workComputer Science: 41 works · 20.8% of their workArtificial Intelligence: 22 works · 11.1% of their workComputer Networks and Communications: 19 works · 9.7% of their workMathematics: 28 works · 14.2% of their workStatistics and Probability: 28 works · 14.2% of their workEverything else: 56 works · 28.5% of their workTHEIR WORKMatthias vonDavier198works
Physical Sciences35%Social Sciences37%

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. Decision Sciences4422.2%
    2. Social Sciences189.2%
    3. Psychology105.1%
    1. Computer Science4120.8%
    2. Mathematics2814.2%
  3. Everything else5628.5%
  1. 1Management Science and Operations Research22% of their works
  2. 2Statistics and Probability14% of their works
  3. 3Artificial Intelligence11% of their works
  4. 4Computer Networks and Communications10% of their works
  5. 5Education9% of their works
  6. 6Developmental and Educational Psychology5% of their works

Research topics

Which keywords describe Matthias von Davier's research?

The keywords of their largest research topics: Structural Equation Modeling, Factor Analysis, Measurement Invariance, Johnson Noise, Secure Communication, Bayesian Modeling, Multiple Imputation and Multicollinearity.

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 17 words, with their numbers
  1. Structural Equation Modeling1142 topics
  2. Factor Analysis861 topic
  3. Measurement Invariance861 topic
  4. Johnson Noise471 topic
  5. Secure Communication471 topic
  6. Bayesian Modeling281 topic
  7. Multiple Imputation281 topic
  8. Multicollinearity151 topic
  9. Regression Analysis151 topic
  10. Dynamic Assessment141 topic
  11. Educational Psychology141 topic
  12. Educational Data Mining131 topic
  13. Learning Analytics131 topic
  14. Socioeconomic Status121 topic
  15. Student Achievement121 topic
  16. Affective States111 topic
  17. Intelligent Tutoring Systems111 topic

Where does Matthias von Davier work?

Matthias von Davier's main affiliation in the publication record is Educational Testing Service, United States.

How many publications and citations does Matthias von Davier have?

OpenAlex counts 198 works and 4,852 citations for Matthias von Davier, an h-index of 38, ranking #174,634 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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