Question 1

What does Amber Stubbs research?

Accepted Answer

Amber Stubbs publishes mostly in Artificial Intelligence, Molecular Biology and Health Information Management, on topics such as Biomedical Text Mining and Ontologies, Topic Modeling and Machine Learning in Healthcare.

Question 2

Which keywords describe Amber Stubbs's research?

Accepted Answer

The keywords of their largest research topics: Data Integration, Semantic Web, Biomedical Ontologies, Electronic Health Records, Neural Networks, Text Mining, Word Representation and Deep Learning.

Question 3

Where does Amber Stubbs work?

Accepted Answer

Amber Stubbs's main affiliation in the publication record is Simmons University, United States.

Question 4

How many publications and citations does Amber Stubbs have?

Accepted Answer

OpenAlex counts 31 works and 1,726 citations for Amber Stubbs, an h-index of 15, ranking #905,297 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is Amber Stubbs's h-index high?

Accepted Answer

An h-index of 15 is at or above that of 80% of the 146,054 ranked researchers whose main subfield is Artificial Intelligence, which is in the top 22%.