Question 1

What does James Q. Smith research?

Accepted Answer

James Q. Smith publishes mostly in Artificial Intelligence, Management Science and Operations Research and Signal Processing, on topics such as Bayesian Modeling and Causal Inference, Bayesian Methods and Mixture Models and Rough Sets and Fuzzy Logic.

Question 2

Which keywords describe James Q. Smith's research?

Accepted Answer

The keywords of their largest research topics: Bayesian Networks, Causal Inference, Clustering, Analytic Hierarchy Process, Bayesian Inference, Data Cleaning, Granular Computing and Mixture Models.

Question 3

Where does James Q. Smith work?

Accepted Answer

James Q. Smith's main affiliation in the publication record is University of Warwick, United Kingdom.

Question 4

How many publications and citations does James Q. Smith have?

Accepted Answer

OpenAlex counts 33 works and 1,092 citations for James Q. Smith, an h-index of 11, ranking #1,551,031 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is James Q. Smith's h-index high?

Accepted Answer

An h-index of 11 is at or above that of 68% of the 146,054 ranked researchers whose main subfield is Artificial Intelligence, which is in the top 37%.