Question 1

What does Selda Güney research?

Accepted Answer

Selda Güney publishes mostly in Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence, on topics such as Advanced Chemical Sensor Technologies, Gas Sensing Nanomaterials and Sensors and COVID-19 diagnosis using AI.

Question 2

Which keywords describe Selda Güney's research?

Accepted Answer

The keywords of their largest research topics: Breath Analysis, Electronic Nose, Deep Learning, Gas Sensors, Metal Oxide, COVID-19, Medical Imaging and Fabric Defect Detection.

Question 3

Where does Selda Güney work?

Accepted Answer

Selda Güney's main affiliation in the publication record is Başkent University, Türkiye.

Question 4

How many publications and citations does Selda Güney have?

Accepted Answer

OpenAlex counts 57 works and 652 citations for Selda Güney, an h-index of 15, ranking #2,894,099 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is Selda Güney's h-index high?

Accepted Answer

An h-index of 15 is at or above that of 79% of the 89,309 ranked researchers whose main subfield is Computer Vision and Pattern Recognition, which is in the top 23%.

Discussion