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Researcher · RTI International · United States

Stephanie Eckman

Stephanie Eckman publishes mostly in Sociology and Political Science, Statistics and Probability and Artificial Intelligence, on topics such as Survey Methodology and Nonresponse, Survey Sampling and Estimation Techniques and Statistical Methods and Bayesian Inference.

ORCID 0000-0002-8577-4085 OpenAlex
World rank
#264,609
of 7,710,434 ranked researchers
Rank in United States
#96,888
of 1,627,098
Works
111
Citations
2k
Citations per work
17.9
h-index
19
i10-index 36Top 7.2% in Sociology and Political Science
Stephanie Eckman

What does Stephanie Eckman research?

Stephanie Eckman's work is mostly in Social Sciences (24%), Mathematics (15%), Computer Science (9%).

Everything else: 40 works · 36.1% of their workSocial Sciences: 40 works · 36.0% of their workSocial Sciences: 27 works · 24.1% of their workSociology and Political Science: 27 works · 24.1% of their workEconomics, Econometrics and Finance: 10 works · 8.8% of their workEconomics and Econometrics: 10 works · 8.8% of their workDecision Sciences: 3 works · 3.1% of their workManagement Science and Operations Research: 3 works · 3.1% of their workPhysical Sciences: 27 works · 24.1% of their workMathematics: 17 works · 14.9% of their workStatistics and Probability: 17 works · 14.9% of their workComputer Science: 10 works · 9.2% of their workArtificial Intelligence: 10 works · 9.2% of their workHealth Sciences: 4 works · 3.8% of their workMedicine: 4 works · 3.8% of their workEpidemiology: 4 works · 3.8% of their workTHEIR WORKStephanie Eckman111works
Physical Sciences24%Health Sciences4%Social Sciences36%

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 else4036.1%
    1. Social Sciences2724.1%
    2. Economics, Econometrics and Finance108.8%
    3. Decision Sciences33.1%
    1. Mathematics1714.9%
    2. Computer Science109.2%
    1. Medicine43.8%
  1. 1Sociology and Political Science24% of their works
  2. 2Statistics and Probability15% of their works
  3. 3Artificial Intelligence9% of their works
  4. 4Economics and Econometrics9% of their works
  5. 5Epidemiology4% of their works
  6. 6Management Science and Operations Research3% of their works

Research topics

Which keywords describe Stephanie Eckman's research?

The keywords of their largest research topics: Response Rates, Survey Methodology, Randomized Response Technique, Sensitive Questions, Bayesian Modeling, Multiple Imputation, Health Care Spending and Insurance Markets.

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 16 words, with their numbers
  1. Response Rates371 topic
  2. Survey Methodology371 topic
  3. Randomized Response Technique131 topic
  4. Sensitive Questions131 topic
  5. Bayesian Modeling101 topic
  6. Multiple Imputation101 topic
  7. Health Care Spending91 topic
  8. Insurance Markets91 topic
  9. Neighborhood Effects91 topic
  10. Residential Segregation91 topic
  11. Causal Inference71 topic
  12. Interpretable Models71 topic
  13. Machine Learning Interpretability71 topic
  14. Propensity Score71 topic
  15. Digital Epidemiology61 topic
  16. Disease Surveillance61 topic

Where does Stephanie Eckman work?

Stephanie Eckman's main affiliation in the publication record is RTI International, United States.

How many publications and citations does Stephanie Eckman have?

OpenAlex counts 111 works and 1,987 citations for Stephanie Eckman, an h-index of 19, ranking #264,609 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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