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Researcher · Microsoft (United States) · United States

David E. Heckerman

David E. Heckerman publishes mostly in Artificial Intelligence, Molecular Biology and Immunology, on topics such as Bayesian Modeling and Causal Inference, HIV Research and Treatment and vaccines and immunoinformatics approaches.

ORCID 0000-0002-4274-6084 OpenAlex
World rank
#57,374
of 7,710,434 ranked researchers
Rank in United States
#22,147
of 1,627,098
Works
396
Citations
51k
Citations per work
127.9
h-index
97
i10-index 242Top 0.1% in Artificial Intelligence
David E. Heckerman

What does David E. Heckerman research?

David E. Heckerman's work is mostly in Computer Science (31%), Immunology and Microbiology (20%), Biochemistry, Genetics and Molecular Biology (18%).

Life Sciences: 152 works · 38.3% of their workImmunology and Microbiology: 80 works · 20.1% of their workImmunology: 41 works · 10.3% of their workVirology: 39 works · 9.8% of their workBiochemistry, Genetics and Molecular Biology: 72 works · 18.2% of their workMolecular Biology: 50 works · 12.5% of their workGenetics: 23 works · 5.7% of their workPhysical Sciences: 121 works · 30.6% of their workComputer Science: 121 works · 30.6% of their workArtificial Intelligence: 121 works · 30.6% of their workEverything else: 107 works · 26.9% of their workHealth Sciences: 17 works · 4.2% of their workMedicine: 17 works · 4.2% of their workInfectious Diseases: 17 works · 4.2% of their workTHEIR WORKDavid E.Heckerman396works
Life Sciences38%Physical Sciences31%Health Sciences4%

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. Immunology and Microbiology8020.1%
    2. Biochemistry, Genetics and Molecular Biology7218.2%
    1. Computer Science12130.6%
  3. Everything else10726.9%
    1. Medicine174.2%
  1. 1Artificial Intelligence31% of their works
  2. 2Molecular Biology12% of their works
  3. 3Immunology10% of their works
  4. 4Virology10% of their works
  5. 5Genetics6% of their works
  6. 6Infectious Diseases4% of their works

Research topics

Which keywords describe David E. Heckerman's research?

The keywords of their largest research topics: Antiretroviral Therapy, Bayesian Networks, Causal Inference, AIDS, HIV, Epitope Prediction, Peptide-MHC Binding and Foxp3.

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 17 words, with their numbers
  1. Antiretroviral Therapy1342 topics
  2. Bayesian Networks1331 topic
  3. Causal Inference1331 topic
  4. AIDS1071 topic
  5. HIV1071 topic
  6. Epitope Prediction611 topic
  7. Peptide-MHC Binding611 topic
  8. Foxp3451 topic
  9. TGF-ß451 topic
  10. Heuristic Search411 topic
  11. Planning Systems411 topic
  12. NK Cell Recognition381 topic
  13. Natural Killer Cells381 topic
  14. Drug Resistance271 topic
  15. HIV Infection271 topic
  16. Answer Set Programming241 topic
  17. Modal Logic241 topic

Where does David E. Heckerman work?

David E. Heckerman's main affiliation in the publication record is Microsoft (United States), United States.

How many publications and citations does David E. Heckerman have?

OpenAlex counts 396 works and 50,639 citations for David E. Heckerman, an h-index of 97, ranking #57,374 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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