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Researcher · University of Virginia · United States

Ted C. Chang

Ted C. Chang publishes mostly in Statistics and Probability, Artificial Intelligence and Environmental Engineering, on topics such as Statistical Methods and Bayesian Inference, Soil Geostatistics and Mapping and Bayesian Methods and Mixture Models.

ORCID 0009-0009-6505-9891 OpenAlex
World rank
#2,062,140
of 7,710,434 ranked researchers
Rank in United States
#623,803
of 1,627,098
Works
39
Citations
1.1k
Citations per work
27.1
h-index
15
i10-index 17Top 33% in Statistics and Probability
Ted C. Chang

What does Ted C. Chang research?

Ted C. Chang's work is mostly in Mathematics (35%), Computer Science (9%), Environmental Science (7%).

Physical Sciences: 20 works · 51.6% of their workMathematics: 14 works · 35.1% of their workStatistics and Probability: 12 works · 29.9% of their workApplied Mathematics: 2 works · 5.2% of their workComputer Science: 4 works · 9.3% of their workArtificial Intelligence: 4 works · 9.3% of their workEnvironmental Science: 3 works · 7.2% of their workEnvironmental Engineering: 3 works · 7.2% of their workEverything else: 15 works · 38.0% of their workSocial Sciences: 4 works · 10.4% of their workEconomics, Econometrics and Finance: 2 works · 5.2% of their workEconomics and Econometrics: 2 works · 5.2% of their workSocial Sciences: 2 works · 5.2% of their workSociology and Political Science: 2 works · 5.2% of their workTHEIR WORKTed C. Chang39works
Physical Sciences52%Social Sciences10%

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. Mathematics1435.1%
    2. Computer Science49.3%
    3. Environmental Science37.2%
  2. Everything else1538.0%
    1. Economics, Econometrics and Finance25.2%
    2. Social Sciences25.2%
  1. 1Statistics and Probability30% of their works
  2. 2Artificial Intelligence9% of their works
  3. 3Environmental Engineering7% of their works
  4. 4Applied Mathematics5% of their works
  5. 5Economics and Econometrics5% of their works
  6. 6Sociology and Political Science5% of their works

Research topics

Which keywords describe Ted C. Chang's research?

The keywords of their largest research topics: Bayesian Modeling, Multiple Imputation, Digital Soil Mapping, Geostatistics, Clustering, Mixture Models, 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.

All 16 words, with their numbers
  1. Bayesian Modeling81 topic
  2. Multiple Imputation81 topic
  3. Digital Soil Mapping71 topic
  4. Geostatistics71 topic
  5. Clustering51 topic
  6. Mixture Models51 topic
  7. Multicollinearity51 topic
  8. Regression Analysis51 topic
  9. Singular Spectrum Analysis51 topic
  10. Total Least Squares51 topic
  11. Consumer Perception41 topic
  12. Regularization41 topic
  13. Response Rates41 topic
  14. Sensory Analysis41 topic
  15. Survey Methodology41 topic
  16. Variable Selection41 topic

Where does Ted C. Chang work?

Ted C. Chang's main affiliation in the publication record is University of Virginia, United States.

How many publications and citations does Ted C. Chang have?

OpenAlex counts 39 works and 1,056 citations for Ted C. Chang, an h-index of 15, ranking #2,062,140 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.

Discussion

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