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Researcher · Stanford Health Care · United States

Nerissa Ambers

Nerissa Ambers publishes mostly in Artificial Intelligence, Health Informatics and Health Information Management, on topics such as Artificial Intelligence in Healthcare and Education, Electronic Health Records Systems and Machine Learning in Healthcare.

ORCID 0009-0008-9878-1824 OpenAlex
World rank
#2,211,439
of 7,710,434 ranked researchers
Rank in United States
#663,062
of 1,627,098
Works
17
Citations
68
Citations per work
4.0
h-index
4
i10-index 2Top 90% in Artificial Intelligence
Nerissa Ambers

What does Nerissa Ambers research?

Nerissa Ambers's work is mostly in Medicine (41%), Computer Science (26%), Health Professions (14%).

Health Sciences: 9 works · 54.9% of their workMedicine: 7 works · 41.2% of their workHealth Informatics: 4 works · 21.6% of their workEmergency Medicine: 2 works · 9.8% of their workSurgery: 2 works · 9.8% of their workHealth Professions: 2 works · 13.7% of their workHealth Information Management: 2 works · 13.7% of their workPhysical Sciences: 4 works · 25.5% of their workComputer Science: 4 works · 25.5% of their workArtificial Intelligence: 4 works · 25.5% of their workEverything else: 2 works · 13.7% of their workLife Sciences: 1 works · 5.9% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 5.9% of their workClinical Biochemistry: 1 works · 5.9% of their workTHEIR WORKNerissa Ambers17works
Life Sciences6%Physical Sciences26%Health Sciences55%

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. Medicine741.2%
    2. Health Professions213.7%
    1. Computer Science425.5%
  3. Everything else213.7%
    1. Biochemistry, Genetics and Molecular Biology15.9%
  1. 1Artificial Intelligence26% of their works
  2. 2Health Informatics22% of their works
  3. 3Health Information Management14% of their works
  4. 4Surgery10% of their works
  5. 5Emergency Medicine10% of their works
  6. 6Clinical Biochemistry6% of their works

Research topics

Which keywords describe Nerissa Ambers's research?

The keywords of their largest research topics: Healthcare, Precision Medicine, Artificial Intelligence, Electronic Health Records, Machine Learning, Clinical Decision Support Systems, Health Information Exchange and Deep Learning.

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 19 words, with their numbers
  1. Healthcare162 topics
  2. Precision Medicine162 topics
  3. Artificial Intelligence111 topic
  4. Electronic Health Records112 topics
  5. Machine Learning111 topic
  6. Clinical Decision Support Systems61 topic
  7. Health Information Exchange61 topic
  8. Deep Learning51 topic
  9. Predictive Modeling51 topic
  10. Alarm Fatigue41 topic
  11. Clinical Alarms41 topic
  12. Hospital Handoffs41 topic
  13. Neural Networks41 topic
  14. Patient Safety41 topic
  15. Word Representation41 topic
  16. Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry31 topic
  17. Microorganism Identification31 topic
  18. Heuristic Search21 topic
  19. Planning Systems21 topic

Where does Nerissa Ambers work?

Nerissa Ambers's main affiliation in the publication record is Stanford Health Care, United States.

How many publications and citations does Nerissa Ambers have?

OpenAlex counts 17 works and 68 citations for Nerissa Ambers, an h-index of 4, ranking #2,211,439 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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