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Researcher · University of British Columbia · Canada

Victoria Savalei

Victoria Savalei publishes mostly in Statistics and Probability, Management Science and Operations Research and Computer Networks and Communications, on topics such as Psychometric Methodologies and Testing, Statistical Methods and Bayesian Inference and Advanced Statistical Modeling Techniques.

ORCID 0000-0001-8530-3251 OpenAlex
World rank
#57,491
of 7,710,434 ranked researchers
Rank in Canada
#1,634
of 183,316
Works
104
Citations
10k
Citations per work
99.2
h-index
37
i10-index 58Top 6.4% in Statistics and Probability
Victoria Savalei

What does Victoria Savalei research?

Victoria Savalei's work is mostly in Mathematics (23%), Decision Sciences (20%), Computer Science (12%).

Everything else: 37 works · 35.9% of their workPhysical Sciences: 37 works · 35.6% of their workMathematics: 24 works · 23.4% of their workStatistics and Probability: 24 works · 23.4% of their workComputer Science: 13 works · 12.2% of their workComputer Networks and Communications: 7 works · 6.3% of their workArtificial Intelligence: 6 works · 5.9% of their workSocial Sciences: 30 works · 28.5% of their workDecision Sciences: 21 works · 20.3% of their workManagement Science and Operations Research: 21 works · 20.3% of their workPsychology: 9 works · 8.2% of their workExperimental and Cognitive Psychology: 4 works · 4.3% of their workClinical Psychology: 4 works · 3.9% of their workTHEIR WORKVictoria Savalei104works
Physical Sciences36%Social Sciences28%

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 else3735.9%
    1. Mathematics2423.4%
    2. Computer Science1312.2%
    1. Decision Sciences2120.3%
    2. Psychology98.2%
  1. 1Statistics and Probability23% of their works
  2. 2Management Science and Operations Research20% of their works
  3. 3Computer Networks and Communications6% of their works
  4. 4Artificial Intelligence6% of their works
  5. 5Experimental and Cognitive Psychology4% of their works
  6. 6Clinical Psychology4% of their works

Research topics

Which keywords describe Victoria Savalei's research?

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

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 17 words, with their numbers
  1. Structural Equation Modeling582 topics
  2. Factor Analysis371 topic
  3. Measurement Invariance371 topic
  4. Bayesian Modeling211 topic
  5. Multiple Imputation211 topic
  6. Johnson Noise151 topic
  7. Secure Communication151 topic
  8. Analytic Hierarchy Process111 topic
  9. Multicollinearity111 topic
  10. Regression Analysis111 topic
  11. TOPSIS111 topic
  12. Network Analysis91 topic
  13. Psychopathology91 topic
  14. Self-Regulation91 topic
  15. Theory of Planned Behaviour91 topic
  16. Bayesian Networks81 topic
  17. Causal Inference81 topic

Where does Victoria Savalei work?

Victoria Savalei's main affiliation in the publication record is University of British Columbia, Canada.

How many publications and citations does Victoria Savalei have?

OpenAlex counts 104 works and 10,319 citations for Victoria Savalei, an h-index of 37, ranking #57,491 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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