Question 1

What does Jacob Shermeyer research?

Accepted Answer

Jacob Shermeyer publishes mostly in Computer Vision and Pattern Recognition, Ecology and Environmental Engineering, on topics such as Remote Sensing in Agriculture, Remote Sensing and LiDAR Applications and Remote-Sensing Image Classification.

Question 2

Which keywords describe Jacob Shermeyer's research?

Accepted Answer

The keywords of their largest research topics: Remote Sensing, Biomass Estimation, Deep Learning, Machine Learning, Phenology, Vegetation Monitoring, Convolutional Neural Networks and Forest Carbon Stocks.

Question 3

Where does Jacob Shermeyer work?

Accepted Answer

Jacob Shermeyer's main affiliation in the publication record is In-Q-Tel, United States.

Question 4

How many publications and citations does Jacob Shermeyer have?

Accepted Answer

OpenAlex counts 18 works and 703 citations for Jacob Shermeyer, an h-index of 11, ranking #1,854,931 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is Jacob Shermeyer's h-index high?

Accepted Answer

An h-index of 11 is at or above that of 66% of the 89,309 ranked researchers whose main subfield is Computer Vision and Pattern Recognition, which is in the top 39%.