Question 1

What does Robin Burke research?

Accepted Answer

Robin Burke 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.

Question 2

Which keywords describe Robin Burke's research?

Accepted Answer

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

Question 3

Where does Robin Burke work?

Accepted Answer

Robin Burke's main affiliation in the publication record is DePaul University, United States.

Question 4

How many publications and citations does Robin Burke have?

Accepted Answer

OpenAlex counts 259 works and 15,885 citations for Robin Burke, an h-index of 57, ranking #34,049 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is Robin Burke's h-index high?

Accepted Answer

An h-index of 57 is at or above that of 99.9% of the 61,330 ranked researchers whose main subfield is Information Systems, which is in the top 0.1%.