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Researcher · Educational Testing Service · United States

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.

ORCID 0000-0002-5490-0405 OpenAlex
World rank
#455,388
of 7,710,434 ranked researchers
Rank in United States
#159,843
of 1,627,098
Works
260
Citations
7k
Citations per work
26.8
h-index
41
i10-index 107Top 4.9% in Statistics and Probability
Shelby J. Haberman

What does Shelby J. Haberman research?

Shelby J. Haberman's work is mostly in Mathematics (27%), Decision Sciences (23%), Computer Science (18%).

Physical Sciences: 117 works · 45.1% of their workMathematics: 70 works · 26.9% of their workStatistics and Probability: 70 works · 26.9% of their workComputer Science: 47 works · 18.2% of their workArtificial Intelligence: 23 works · 8.8% of their workComputer Networks and Communications: 17 works · 6.7% of their workInformation Systems: 7 works · 2.7% of their workEverything else: 83 works · 31.8% of their workSocial Sciences: 60 works · 23.1% of their workDecision Sciences: 60 works · 23.1% of their workManagement Science and Operations Research: 52 works · 19.9% of their workStatistics, Probability and Uncertainty: 8 works · 3.2% of their workTHEIR WORKShelby J.Haberman260works
Physical Sciences45%Social Sciences23%

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. Mathematics7026.9%
    2. Computer Science4718.2%
  2. Everything else8331.8%
    1. Decision Sciences6023.1%
  1. 1Statistics and Probability27% of their works
  2. 2Management Science and Operations Research20% of their works
  3. 3Artificial Intelligence9% of their works
  4. 4Computer Networks and Communications7% of their works
  5. 5Statistics, Probability and Uncertainty3% of their works
  6. 6Information Systems3% of their works

Research topics

Which keywords describe Shelby J. Haberman's research?

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

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 Modeling972 topics
  2. Multicollinearity691 topic
  3. Regression Analysis691 topic
  4. Factor Analysis651 topic
  5. Measurement Invariance651 topic
  6. Johnson Noise371 topic
  7. Secure Communication371 topic
  8. Bayesian Modeling321 topic
  9. Multiple Imputation321 topic
  10. Regularization231 topic
  11. Variable Selection231 topic
  12. Experimental Design221 topic
  13. Optimization221 topic
  14. Analytic Hierarchy Process201 topic
  15. TOPSIS201 topic
  16. Bayesian Networks161 topic
  17. Causal Inference161 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?

OpenAlex counts 260 works and 6,970 citations for Shelby J. Haberman, an h-index of 41, ranking #455,388 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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