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Researcher · Microsoft (United States) · United States

Eric Horvitz

Eric Horvitz publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Bayesian Modeling and Causal Inference, Personal Information Management and User Behavior and Topic Modeling.

ORCID 0000-0002-8823-0614 OpenAlex
World rank
#16,504
of 7,710,434 ranked researchers
Rank in United States
#5,893
of 1,627,098
Works
658
Citations
43k
Citations per work
65.0
h-index
95
i10-index 378Top 0.1% in Artificial Intelligence
Eric Horvitz

What does Eric Horvitz research?

Eric Horvitz's work is mostly in Computer Science (47%), Decision Sciences (4%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 307 works · 46.6% of their workComputer Science: 307 works · 46.6% of their workArtificial Intelligence: 205 works · 31.1% of their workInformation Systems: 40 works · 6.1% of their workComputer Vision and Pattern Recognition: 38 works · 5.8% of their workComputer Science Applications: 24 works · 3.6% of their workEverything else: 301 works · 45.8% of their workSocial Sciences: 27 works · 4.1% of their workDecision Sciences: 27 works · 4.1% of their workInformation Systems and Management: 27 works · 4.1% of their workLife Sciences: 23 works · 3.5% of their workBiochemistry, Genetics and Molecular Biology: 23 works · 3.5% of their workMolecular Biology: 23 works · 3.5% of their workTHEIR WORKEric Horvitz658works
Life Sciences4%Physical Sciences47%Social 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. Computer Science30746.6%
  2. Everything else30145.8%
    1. Decision Sciences274.1%
    1. Biochemistry, Genetics and Molecular Biology233.5%
  1. 1Artificial Intelligence31% of their works
  2. 2Information Systems6% of their works
  3. 3Computer Vision and Pattern Recognition6% of their works
  4. 4Information Systems and Management4% of their works
  5. 5Computer Science Applications4% of their works
  6. 6Molecular Biology4% of their works

Research topics

Which keywords describe Eric Horvitz's research?

The keywords of their largest research topics: Bayesian Networks, Causal Inference, Information Overload, Interruptions, Neural Networks, Word Representation, Crowdsourcing and Mechanical Turk.

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 16 words, with their numbers
  1. Bayesian Networks621 topic
  2. Causal Inference621 topic
  3. Information Overload581 topic
  4. Interruptions581 topic
  5. Neural Networks571 topic
  6. Word Representation571 topic
  7. Crowdsourcing531 topic
  8. Mechanical Turk531 topic
  9. Heuristic Search471 topic
  10. Planning Systems471 topic
  11. Markov Decision Processes381 topic
  12. Spoken Dialogue Systems381 topic
  13. Agent-Based Modeling321 topic
  14. Interpretable Models321 topic
  15. Machine Learning Interpretability321 topic
  16. Multi-Agent Systems321 topic

Where does Eric Horvitz work?

Eric Horvitz's main affiliation in the publication record is Microsoft (United States), United States.

How many publications and citations does Eric Horvitz have?

OpenAlex counts 658 works and 42,742 citations for Eric Horvitz, an h-index of 95, ranking #16,504 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.

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