Science Explorer Back to mapMap
Discussion
Researcher · Harvard University · United States

Miguel Ángel Hernán

Miguel Ángel Hernán publishes mostly in Statistics and Probability, Infectious Diseases and Economics and Econometrics, on topics such as Advanced Causal Inference Techniques, Health Systems, Economic Evaluations, Quality of Life and Statistical Methods and Inference.

ORCID 0000-0003-1619-8456 OpenAlex
World rank
#5,704
of 7,710,434 ranked researchers
Rank in United States
#1,968
of 1,627,098
Works
573
Citations
130k
Citations per work
226.4
h-index
121
i10-index 342Top 0.1% in Statistics and Probability
Miguel Ángel Hernán

What does Miguel Ángel Hernán research?

Miguel Ángel Hernán's work is mostly in Mathematics (24%), Medicine (22%), Economics, Econometrics and Finance (7%).

Everything else: 272 works · 47.4% of their workPhysical Sciences: 135 works · 23.6% of their workMathematics: 135 works · 23.6% of their workStatistics and Probability: 135 works · 23.6% of their workHealth Sciences: 128 works · 22.4% of their workMedicine: 128 works · 22.4% of their workInfectious Diseases: 61 works · 10.7% of their workOncology: 30 works · 5.2% of their workEpidemiology: 19 works · 3.4% of their workPublic Health, Environmental and Occupational Health: 18 works · 3.1% of their workSocial Sciences: 38 works · 6.6% of their workEconomics, Econometrics and Finance: 38 works · 6.6% of their workEconomics and Econometrics: 38 works · 6.6% of their workTHEIR WORKMiguel ÁngelHernán573works
Physical Sciences24%Health Sciences22%Social Sciences7%

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 else27247.4%
    1. Mathematics13523.6%
    1. Medicine12822.4%
    1. Economics, Econometrics and Finance386.6%
  1. 1Statistics and Probability24% of their works
  2. 2Infectious Diseases11% of their works
  3. 3Economics and Econometrics7% of their works
  4. 4Oncology5% of their works
  5. 5Epidemiology3% of their works
  6. 6Public Health, Environmental and Occupational Health3% of their works

Research topics

Which keywords describe Miguel Ángel Hernán's research?

The keywords of their largest research topics: Causal Inference, Propensity Score, Bayesian Methods, Cost-effectiveness Analysis, Quality of Life, ACE2 Receptor, SARS-CoV-2 and Regularization.

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 19 words, with their numbers
  1. Causal Inference1831 topic
  2. Propensity Score1831 topic
  3. Bayesian Methods1222 topics
  4. Cost-effectiveness Analysis861 topic
  5. Quality of Life861 topic
  6. ACE2 Receptor752 topics
  7. SARS-CoV-2752 topics
  8. Regularization621 topic
  9. Variable Selection621 topic
  10. Adaptive Designs601 topic
  11. False Discovery Rate601 topic
  12. Bayesian Modeling531 topic
  13. Multiple Imputation531 topic
  14. Coronavirus391 topic
  15. Vaccine391 topic
  16. Antiretroviral Therapy361 topic
  17. Clinical Characteristics361 topic
  18. Epidemiology361 topic
  19. HIV Infection361 topic

Where does Miguel Ángel Hernán work?

Miguel Ángel Hernán's main affiliation in the publication record is Harvard University, United States.

How many publications and citations does Miguel Ángel Hernán have?

OpenAlex counts 573 works and 129,717 citations for Miguel Ángel Hernán, an h-index of 121, ranking #5,704 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

Ask a question or share a note about Miguel Ángel Hernán. Posts are plain text and can be reported.