Michael Hay
Michael Hay publishes mostly in Artificial Intelligence, Computer Science Applications and Information Systems, on topics such as Privacy-Preserving Technologies in Data, Cryptography and Data Security and Mobile Crowdsensing and Crowdsourcing.
- World rank
- #558,625 of 1,633,909 ranked researchers
- Rank in United States
- #179,975 of 358,040
- Works
- 15
- Citations
- 105
- Citations per work
- 7.0
What does Michael Hay research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence60% of their works
- 2Computer Science Applications13% of their works
- 3Information Systems7% of their works
- 4Management Science and Operations Research7% of their works
- 5Computational Theory and Mathematics7% of their works
- 6Sociology and Political Science7% of their works
Research topics
Which keywords describe Michael Hay's research?
The keywords of their largest research topics: Machine Learning, Data Mining, Differential Privacy, Federated Learning, Crowdsourcing, Deep Learning, Homomorphic Encryption and Identity-Based Encryption.
- Semi-Supervised Learning
- Random Projections
- Frequent Patterns
- Bayesian Networks
- Active Learning
- Identity-Based Encryption
- Deep Learning
- Federated Learning
- Data Mining
- Machine Learning
- Differential Privacy
- Crowdsourcing
- Homomorphic Encryption
- Mechanical Turk
- Association Rules
- Causal Inference
- Granular Computing
- Rough Sets
- Stochastic Gradient Descent
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 19 words, with their numbers
- Machine Learning63 topics
- Data Mining52 topics
- Differential Privacy41 topic
- Federated Learning41 topic
- Crowdsourcing21 topic
- Deep Learning22 topics
- Homomorphic Encryption21 topic
- Identity-Based Encryption21 topic
- Mechanical Turk21 topic
- Active Learning11 topic
- Association Rules11 topic
- Bayesian Networks11 topic
- Causal Inference11 topic
- Frequent Patterns11 topic
- Granular Computing11 topic
- Random Projections11 topic
- Rough Sets11 topic
- Semi-Supervised Learning11 topic
- Stochastic Gradient Descent11 topic
Where does Michael Hay work?
Michael Hay's main affiliation in the publication record is University of Massachusetts Amherst, United States.
How many publications and citations does Michael Hay have?
Science Explorer counts 15 works and 105 citations for Michael Hay, ranking #558,625 of 1,633,909 researchers worldwide on the composite 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.
Other researchers named Michael Hay
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