The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Carlos F.M. Coimbra sits on this spectrum.
This scientist: 169 publications — 35th percentile
35% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Carlos F.M. Coimbra sits on this spectrum.
This scientist: 50 D-Index — 59th percentile
59% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Carlos F.M. Coimbra is affiliated with the University of California, San Diego in the United States. Their research primarily spans the field of Engineering, with a particular focus on Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Computational Mechanics, Electrical and Electronic Engineering, and Global and Planetary Change.
The scientist's work covers key topics including Solar Radiation and Photovoltaics, Photovoltaic System Optimization Techniques, Solar Thermal and Photovoltaic Systems, Atmospheric Aerosols and Clouds, Fluid Dynamics and Thin Films, Energy Load and Power Forecasting, and Remote Sensing in Agriculture.
Notable recent papers include:
Frequent co-authors in their work include Mengying Li, Hugo T.C. Pedro, Dazhi Yang, Lysha M. Matsunobu, and Omar AlAli. Collaborative research with these individuals highlights interdisciplinary engagements within their domains.
The scientist has published extensively in several venues such as:
The concentration on solar energy and its forecasting is reflected through multiple published studies examining solar irradiance predictability, cloud detection via convolutional neural networks, and solar forecast verification techniques.
Research areas like computational mechanics and fluid dynamics suggest a foundation in modeling and numerical methods applied toward energy and environmental systems. Additionally, involvement in topics concerning atmospheric aerosols and remote sensing indicates interdisciplinary work connecting environmental monitoring with energy applications.
Rich H. Inman;Hugo T.C. Pedro;Carlos F.M. Coimbra
Hugo T.C. Pedro;Carlos F.M. Coimbra
C.F.M. Coimbra
Dazhi Yang;Jan Kleissl;Christian A. Gueymard;Hugo T.C. Pedro
Ricardo Marquez;Carlos F.M. Coimbra
Ricardo Marquez;Carlos F.M. Coimbra
J.S. Shirolkar;C.F.M. Coimbra;M. Queiroz McQuay
Yinghao Chu;Bryan Urquhart;Seyyed M.I. Gohari;Hugo T.C. Pedro
David P. Larson;Lukas Nonnenmacher;Carlos F.M. Coimbra
Unknown
Ricardo Marquez;Hugo T.C. Pedro;Carlos F.M. Coimbra
Yinghao Chu;Hugo T.C. Pedro;Carlos F.M. Coimbra
Dazhi Yang;Stefano Alessandrini;Javier Antonanzas;Fernando Antonanzas-Torres
Ricardo Marquez;Carlos F. M. Coimbra
Carlos F.M. Coimbra;Jan Kleissl;Ricardo Marquez
S. Quesada-Ruiz;Y. Chu;J. Tovar-Pescador;H.T.C. Pedro
Amanpreet Kaur;Lukas Nonnenmacher;Hugo T.C. Pedro;Carlos F.M. Coimbra
Lynnette E. S. Ramirez;Carlos F. M. Coimbra
G. Diaz;C. F. M. Coimbra
L.E.S. Ramirez;C.F.M. Coimbra
Lynnette E.S. Ramirez;Carlos F.M. Coimbra
Yinghao Chu;Hugo T.C. Pedro;Mengying Li;Carlos F.M. Coimbra
If you think any of the details on this page are incorrect, let us know.
Pohang University of Science and Technology
Michigan State University
University of Basel
Pennsylvania State University
University of Ulm
University College London
University of Tokyo
British Antarctic Survey
Case Western Reserve University
University of California, Davis
Institute of Plant Biology
Saint Louis University
University of South Australia
Johns Hopkins University
University of California, San Diego
University of the Azores
