Question 1

What does Eibe Frank research?

Accepted Answer

Eibe Frank publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Machine Learning and Data Classification, Data Mining Algorithms and Applications and Imbalanced Data Classification Techniques.

Question 2

Which keywords describe Eibe Frank's research?

Accepted Answer

The keywords of their largest research topics: Classification, Deep Neural Networks, Hyperparameter Optimization, Noisy Labels, Data Mining, Frequent Patterns, Feature Selection and Imbalanced Data.

Question 3

Where does Eibe Frank work?

Accepted Answer

Eibe Frank's main affiliation in the publication record is University of Waikato, New Zealand.

Question 4

How many publications and citations does Eibe Frank have?

Accepted Answer

OpenAlex counts 238 works and 70,580 citations for Eibe Frank, an h-index of 63, ranking #44,416 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is Eibe Frank's h-index high?

Accepted Answer

An h-index of 63 is at or above that of 99.6% of the 146,054 ranked researchers whose main subfield is Artificial Intelligence, which is in the top 0.4%.