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Shelby J. Haberman

Shelby J. Haberman publishes mostly in Statistics and Probability, Management Science and Operations Research and Artificial Intelligence, on topics such as Advanced Statistical Methods and Models, Psychometric Methodologies and Testing and Advanced Statistical Modeling Techniques.

World rank
#192,464
of 1,633,909 ranked researchers
Rank in United States
#78,276
of 358,040
Works
54
Citations
385
Citations per work
7.1

What does Shelby J. Haberman research?

Statistics and Probability: 26.9%Management Science and Operations Research: 11.5%Artificial Intelligence: 9.0%Computer Networks and Communications: 7.7%other fields: 44.9%27%top field
Statistics and Probability26.9%Management Science and Operations Research11.5%Artificial Intelligence9.0%Computer Networks and Communications7.7%other fields44.9%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Statistics and Probability27% of their works
  2. 2Management Science and Operations Research12% of their works
  3. 3Artificial Intelligence9% of their works
  4. 4Computer Networks and Communications8% of their works
  5. 5Statistics, Probability and Uncertainty5% of their works
  6. 6Statistical and Nonlinear Physics4% of their works

Research topics

Which keywords describe Shelby J. Haberman's research?

The keywords of their largest research topics: Principal Component Analysis, Structural Equation Modeling, Multicollinearity, Regression Analysis, Factor Analysis, Measurement Invariance, Variable Selection and Johnson Noise.

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 19 words, with their numbers
  1. Principal Component Analysis112 topics
  2. Structural Equation Modeling112 topics
  3. Multicollinearity91 topic
  4. Regression Analysis91 topic
  5. Factor Analysis71 topic
  6. Measurement Invariance71 topic
  7. Variable Selection72 topics
  8. Johnson Noise51 topic
  9. Lasso51 topic
  10. Regularization51 topic
  11. Secure Communication51 topic
  12. Bayesian Modeling41 topic
  13. Multiple Imputation41 topic
  14. Clustering21 topic
  15. Long-Range Interactions21 topic
  16. Mixture Models21 topic
  17. Multivariate Calibration21 topic
  18. Near-Infrared Spectroscopy21 topic
  19. Nonextensive Statistical Mechanics21 topic

Where does Shelby J. Haberman work?

Shelby J. Haberman's main affiliation in the publication record is Educational Testing Service, United States.

How many publications and citations does Shelby J. Haberman have?

Science Explorer counts 54 works and 385 citations for Shelby J. Haberman, ranking #192,464 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.