Question 1

What does Moloud Abdar research?

Accepted Answer

Moloud Abdar publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management, on topics such as Artificial Intelligence in Healthcare, Imbalanced Data Classification Techniques and AI in cancer detection.

Question 2

Which keywords describe Moloud Abdar's research?

Accepted Answer

The keywords of their largest research topics: Machine Learning, Deep Learning, Data Mining, Classification, Big Data Analytics, Healthcare, Convolutional Neural Networks and Imbalanced Data.

Question 3

Where does Moloud Abdar work?

Accepted Answer

Moloud Abdar's main affiliation in the publication record is Deakin University, Australia.

Question 4

How many publications and citations does Moloud Abdar have?

Accepted Answer

OpenAlex counts 118 works and 9,535 citations for Moloud Abdar, an h-index of 41, ranking #37,530 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is Moloud Abdar's h-index high?

Accepted Answer

An h-index of 41 is at or above that of 98% of the 146,054 ranked researchers whose main subfield is Artificial Intelligence, which is in the top 2%.