Prof. Camps-Valls research activities have resulted so far in a total of 250 peer-reviewed international journal
papers, 300+ international conference papers, 25 book chapters, and in editing 5 books on remote sensing,
image processing and machine learning: “Kernel methods in bioengineering, signal and image processing” (IGI,
2007), “Kernel methods for remote sensing data analysis” (Wiley & Sons, 2009), “Remote Sensing Image Processing”
(MC, 2011), “Digital Signal Processing with Kernel Methods” (Wiley & Sons, 2018), and “Deep Learning for the Earth
Sciences” (Wiley & Sons, 2021). He has a h-index of 72 in Google Scholar, with more than 23000 citations,
from which 14000+ were received in the last 5 years. He was listed as a highly cited researcher in 2011, and
Thomson Reuters ScienceWatch identified my activities as Fast Moving Front research as the Essential Science Indicators
identified me as the author of the most-cited paper in the area of Engineering in 2011. That was the seminal work
about the introduction of kernel methods to the remote sensing and geoscience community. More than 5 papers received more than 1000 citations each, and a paper about information fusion with kernels received the Google
Classic paper award. He has published seminal papers in Nature, Nature Communications, Science Advances, and PNAS.
He is a referee and Program Committee member of many international journals and conferences. He has served
on the Program Committees of International Society for Optical Engineers (SPIE) Europe, International Geoscience and
Remote Sensing Symposium (IGARSS), Machine Learning for Signal Processing (MLSP), and International Conference
on Image Processing (ICIP) among others. He was the Technical Program Chair at IEEE IGARSS 2018, València
(2400+ attendees). Since 2007 he is member of the Data Fusion technical committee of the IEEE GRSS,
and of the MLSP TC of IEEE SPS. He is (or has been) Associate Editor of the “IEEE Transactions on Signal
Processing”, “IEEE Signal Processing Letters”, “IEEE Geoscience and Remote Sensing Letters”, and Guest
Editor of “IEEE Journal of Selected Topics in Signal Processing”. He was member of the MTG-IRS Science Team
(MIST) of the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), and since 2019 he
is an Invited Professor Fellow and Consultant of the ESA PhiLab, and since 2019 he coordinates the ‘Machine Learning
for Earth and Climate Sciences’ research program of ELLIS.eu. Prof. Camps-Valls is habitual evaluator of project
proposals for H2020 programs (ERC, FET), NSF, China Science Foundation, Swiss Science Fundation, etc.