Science Explorer Back to mapMap
Discussion
Researcher · Mathematica Policy Research · United States

Natalya Verbitsky‐Savitz

Natalya Verbitsky‐Savitz publishes mostly in Statistics and Probability, Education and General Health Professions, on topics such as Advanced Causal Inference Techniques, School Choice and Performance and Interpreting and Communication in Healthcare.

OpenAlex
World rank
#1,728,886
of 7,710,434 ranked researchers
Rank in United States
#533,663
of 1,627,098
Works
22
Citations
456
Citations per work
20.7
h-index
9
i10-index 8Top 59% in Statistics and Probability
Natalya Verbitsky‐Savitz

What does Natalya Verbitsky‐Savitz research?

Natalya Verbitsky‐Savitz's work is mostly in Mathematics (26%), Social Sciences (24%), Health Professions (16%).

Social Sciences: 9 works · 40.0% of their workSocial Sciences: 5 works · 24.0% of their workEducation: 4 works · 20.0% of their workSociology and Political Science: 1 works · 4.0% of their workPsychology: 2 works · 10.0% of their workClinical Psychology: 2 works · 10.0% of their workEconomics, Econometrics and Finance: 1 works · 6.0% of their workEconomics and Econometrics: 1 works · 6.0% of their workPhysical Sciences: 6 works · 26.0% of their workMathematics: 6 works · 26.0% of their workStatistics and Probability: 6 works · 26.0% of their workEverything else: 4 works · 18.0% of their workHealth Sciences: 4 works · 16.0% of their workHealth Professions: 4 works · 16.0% of their workGeneral Health Professions: 4 works · 16.0% of their workTHEIR WORKNatalyaVerbitsky‐Savitz22works
Physical Sciences26%Health Sciences16%Social Sciences40%

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. Social Sciences524.0%
    2. Psychology210.0%
    3. Economics, Econometrics and Finance16.0%
    1. Mathematics626.0%
  3. Everything else418.0%
    1. Health Professions416.0%
  1. 1Statistics and Probability26% of their works
  2. 2Education20% of their works
  3. 3General Health Professions16% of their works
  4. 4Clinical Psychology10% of their works
  5. 5Economics and Econometrics6% of their works
  6. 6Sociology and Political Science4% of their works

Research topics

Which keywords describe Natalya Verbitsky‐Savitz's research?

The keywords of their largest research topics: Causal Inference, Propensity Score, Socioeconomic Status, Student Achievement, Language Barriers, Medical Interpreters, Adverse Experiences 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 16 words, with their numbers
  1. Causal Inference91 topic
  2. Propensity Score91 topic
  3. Socioeconomic Status61 topic
  4. Student Achievement61 topic
  5. Language Barriers41 topic
  6. Medical Interpreters41 topic
  7. Adverse Experiences31 topic
  8. Bayesian Modeling31 topic
  9. Childhood Trauma31 topic
  10. Multiple Imputation31 topic
  11. Collaborative Partnerships21 topic
  12. Community Empowerment21 topic
  13. Training Pathways21 topic
  14. Vocational Education21 topic
  15. COVID-1911 topic
  16. Modeling11 topic

Where does Natalya Verbitsky‐Savitz work?

Natalya Verbitsky‐Savitz's main affiliation in the publication record is Mathematica Policy Research, United States.

How many publications and citations does Natalya Verbitsky‐Savitz have?

OpenAlex counts 22 works and 456 citations for Natalya Verbitsky‐Savitz, an h-index of 9, ranking #1,728,886 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

Ask a question or share a note about Natalya Verbitsky‐Savitz. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.