Question 1

What does Saiyed Umer research?

Accepted Answer

Saiyed Umer publishes mostly in Computer Vision and Pattern Recognition, Molecular Biology and Signal Processing, on topics such as Biometric Identification and Security, Emotion and Mood Recognition and Face and Expression Recognition.

Question 2

Which keywords describe Saiyed Umer's research?

Accepted Answer

The keywords of their largest research topics: Deep Learning, Feature Extraction, Face Recognition, Support Vector Machines, Authentication, Security, Emotion Recognition and Biometric Recognition.

Question 3

Where does Saiyed Umer work?

Accepted Answer

Saiyed Umer's main affiliation in the publication record is Aliah University, India.

Question 4

How many publications and citations does Saiyed Umer have?

Accepted Answer

OpenAlex counts 92 works and 1,395 citations for Saiyed Umer, an h-index of 22, ranking #875,636 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is Saiyed Umer's h-index high?

Accepted Answer

An h-index of 22 is at or above that of 90% of the 89,309 ranked researchers whose main subfield is Computer Vision and Pattern Recognition, which is in the top 11%.