Question 1

What does Jeff Calder research?

Accepted Answer

Jeff Calder publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability, on topics such as Machine Learning and Algorithms, Statistical Methods and Inference and Domain Adaptation and Few-Shot Learning.

Question 2

Which keywords describe Jeff Calder's research?

Accepted Answer

The keywords of their largest research topics: Semi-Supervised Learning, Deep Learning, Model Selection, High-Dimensional Data, Representation Learning, Active Learning, Machine Learning and Regularization.

Question 3

Where does Jeff Calder work?

Accepted Answer

Jeff Calder's main affiliation in the publication record is University of Minnesota, United States.

Question 4

How many publications and citations does Jeff Calder have?

Accepted Answer

OpenAlex counts 124 works and 909 citations for Jeff Calder, an h-index of 20, ranking #1,812,094 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is Jeff Calder's h-index high?

Accepted Answer

An h-index of 20 is at or above that of 88% of the 146,054 ranked researchers whose main subfield is Artificial Intelligence, which is in the top 13%.

Discussion