Jennifer E Starling: h-index, Total Citations, and Citation Map
Jennifer E Starling's h-index is 15 (15 i10-index, 1,217+ total citations across 5+ publications) according to Google Scholar as of May 2026. Jennifer E Starling is affiliated with Mathematica Inc..
Jennifer E Starling is a researcher affiliated with Mathematica Inc., specializing in Statistics, data science, health analytics. Their work has been cited 1,217 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jennifer E Starling's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 15
- i10-Index
- 15
- Total Citations
- 1,217
- Citing Countries
- 15
As of May 2026.
Jennifer E Starling has an h-index of 15 and 1,217 total citations across 5 publications, with research cited by institutions in 15 countries.
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Top Cited Works
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Effectiveness, safety and acceptability of no‐test medical abortion (termination of pregnancy) provided via telemedicine: a national cohort study
2021320
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher established evidence for the safety and acceptability of no-test telemedicine medical abortion through a large-scale national cohort study.
The researcher provided rigorous quantitative evidence on the demand for self-managed telemedicine abortion across eight European countries during the pandemic using regression discontinuity analysis.
The researcher provided seminal evidence on the demand for self-managed online telemedicine abortion in the US during the COVID-19 pandemic, published in a leading obstetrics and gynecology journal.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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