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Researcher · Dascena (United States) · United States

Emily Pellegrini

Emily Pellegrini publishes mostly in Epidemiology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Sepsis Diagnosis and Treatment, Machine Learning in Healthcare and COVID-19 diagnosis using AI.

ORCID 0000-0001-7614-9299 OpenAlex
World rank
#1,115,438
of 7,710,434 ranked researchers
Rank in United States
#360,382
of 1,627,098
Works
40
Citations
1k
Citations per work
25.8
h-index
15
i10-index 19Top 35% in Epidemiology
Emily Pellegrini

What does Emily Pellegrini research?

Emily Pellegrini's work is mostly in Medicine (43%), Computer Science (13%).

Everything else: 17 works · 43.7% of their workHealth Sciences: 17 works · 43.4% of their workMedicine: 17 works · 43.4% of their workEpidemiology: 7 works · 16.8% of their workInfectious Diseases: 3 works · 6.9% of their workPulmonary and Respiratory Medicine: 3 works · 6.9% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 6.9% of their workCardiology and Cardiovascular Medicine: 2 works · 5.9% of their workPhysical Sciences: 5 works · 12.9% of their workComputer Science: 5 works · 12.9% of their workArtificial Intelligence: 5 works · 12.9% of their workTHEIR WORKEmily Pellegrini40works
Physical Sciences13%Health Sciences43%

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 else1743.7%
    1. Medicine1743.4%
    1. Computer Science512.9%
  1. 1Epidemiology17% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Radiology, Nuclear Medicine and Imaging7% of their works
  4. 4Pulmonary and Respiratory Medicine7% of their works
  5. 5Infectious Diseases7% of their works
  6. 6Cardiology and Cardiovascular Medicine6% of their works

Research topics

Which keywords describe Emily Pellegrini's research?

The keywords of their largest research topics: Epidemiology, Biomarkers, Deep Learning, Sepsis, Healthcare, Management, Precision Medicine and Septic Shock.

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 25 words, with their numbers
  1. Epidemiology192 topics
  2. Biomarkers182 topics
  3. Deep Learning182 topics
  4. Sepsis182 topics
  5. Healthcare173 topics
  6. Management141 topic
  7. Precision Medicine142 topics
  8. Septic Shock141 topic
  9. Electronic Health Records111 topic
  10. Predictive Modeling111 topic
  11. Artificial Intelligence102 topics
  12. Medical Imaging102 topics
  13. COVID-1971 topic
  14. Convolutional Neural Networks71 topic
  15. Machine Learning62 topics
  16. Clinical Characteristics51 topic
  17. SARS-CoV-251 topic
  18. Acute Kidney Injury41 topic
  19. Acute Lung Injury41 topic
  20. Mechanical Ventilation41 topic
  21. Renal Failure41 topic
  22. Big Data Analytics31 topic
  23. Clinical Decision Support31 topic
  24. Ethical Challenges31 topic
  25. Medical Diagnosis31 topic

Where does Emily Pellegrini work?

Emily Pellegrini's main affiliation in the publication record is Dascena (United States), United States.

How many publications and citations does Emily Pellegrini have?

OpenAlex counts 40 works and 1,030 citations for Emily Pellegrini, an h-index of 15, ranking #1,115,438 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.

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