Question 1

What does Vicent Caselles research?

Accepted Answer

Vicent Caselles publishes mostly in Computer Vision and Pattern Recognition, Applied Mathematics and Computational Mechanics, on topics such as Medical Image Segmentation Techniques, Image and Signal Denoising Methods and Advanced Vision and Imaging.

Question 2

Which keywords describe Vicent Caselles's research?

Accepted Answer

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Image Segmentation, Medical Image Analysis, Image Denoising, Sparse Representations, Depth Estimation and Image.

Question 3

Where does Vicent Caselles work?

Accepted Answer

Vicent Caselles's main affiliation in the publication record is Universitat Pompeu Fabra, Spain.

Question 4

How many publications and citations does Vicent Caselles have?

Accepted Answer

OpenAlex counts 192 works and 16,182 citations for Vicent Caselles, an h-index of 49, ranking #82,976 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is Vicent Caselles's h-index high?

Accepted Answer

An h-index of 49 is at or above that of 99% of the 89,309 ranked researchers whose main subfield is Computer Vision and Pattern Recognition, which is in the top 1.2%.