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Researcher · Boise State University · United States

Michael D. Ekstrand

Michael D. Ekstrand publishes mostly in Information Systems, Artificial Intelligence and Management Science and Operations Research, on topics such as Recommender Systems and Techniques, Advanced Bandit Algorithms Research and Ethics and Social Impacts of AI.

ORCID 0000-0003-2467-0108 OpenAlex
World rank
#137,873
of 7,710,434 ranked researchers
Rank in United States
#52,250
of 1,627,098
Works
141
Citations
4k
Citations per work
28.3
h-index
30
i10-index 52Top 1.5% in Information Systems
Michael D. Ekstrand

What does Michael D. Ekstrand research?

Michael D. Ekstrand's work is mostly in Computer Science (45%), Social Sciences (12%), Decision Sciences (10%).

Physical Sciences: 64 works · 45.2% of their workComputer Science: 64 works · 45.2% of their workInformation Systems: 33 works · 23.6% of their workArtificial Intelligence: 24 works · 16.9% of their workComputer Science Applications: 7 works · 4.7% of their workEverything else: 46 works · 32.4% of their workSocial Sciences: 32 works · 22.4% of their workSocial Sciences: 17 works · 12.2% of their workSafety Research: 9 works · 6.7% of their workSociology and Political Science: 8 works · 5.5% of their workDecision Sciences: 14 works · 10.2% of their workManagement Science and Operations Research: 14 works · 10.2% of their workTHEIR WORKMichael D.Ekstrand141works
Physical Sciences45%Social Sciences22%

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 Science6445.2%
  2. Everything else4632.4%
    1. Social Sciences1712.2%
    2. Decision Sciences1410.2%
  1. 1Information Systems24% of their works
  2. 2Artificial Intelligence17% of their works
  3. 3Management Science and Operations Research10% of their works
  4. 4Safety Research7% of their works
  5. 5Sociology and Political Science6% of their works
  6. 6Computer Science Applications5% of their works

Research topics

Which keywords describe Michael D. Ekstrand's research?

The keywords of their largest research topics: Neural Networks, Collaborative Filtering, Matrix Factorization, Surveillance, Bandit Optimization, Bayesian Optimization, Ethics and Fairness.

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. Neural Networks642 topics
  2. Collaborative Filtering561 topic
  3. Matrix Factorization561 topic
  4. Surveillance322 topics
  5. Bandit Optimization251 topic
  6. Bayesian Optimization251 topic
  7. Ethics231 topic
  8. Fairness231 topic
  9. Information Retrieval172 topics
  10. Crowdsourcing111 topic
  11. Mechanical Turk111 topic
  12. Interpretable Models101 topic
  13. Machine Learning Interpretability101 topic
  14. Online Social Networks91 topic
  15. Privacy Concerns91 topic
  16. Search Engines91 topic
  17. User Behavior91 topic
  18. Machine Translation81 topic
  19. Word Representation81 topic

Where does Michael D. Ekstrand work?

Michael D. Ekstrand's main affiliation in the publication record is Boise State University, United States.

How many publications and citations does Michael D. Ekstrand have?

OpenAlex counts 141 works and 3,988 citations for Michael D. Ekstrand, an h-index of 30, ranking #137,873 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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