Alicia Palacios-Orueta | Spatial Data Analysis | Research Excellence Award

Dr. Alicia Palacios-Orueta | Spatial Data Analysis | Research Excellence Award

 Universidad Politécnica de Madrid | Spain

Dr. Alicia Palacios-Orueta is a Full Professor (Catedrática de Universidad) in the Department of Agroforestry Engineering at the Technical University of Madrid (Universidad Politécnica de Madrid, UPM), with an internationally recognized career in environmental science and remote sensing. She holds a degree in Agricultural Engineering from UPM and completed her MSc and PhD in Soil Science at the University of California, Davis. Her academic trajectory spans more than two decades, including appointments as Assistant Professor, Associate Professor, and Full Professor, as well as research positions in leading international institutions in the United States, Italy, Israel, and Sweden. Her research focuses on soil science, climatology, meteorology, geology, plant ecology, remote sensing, hyperspectral analysis, and spatial–temporal time series analysis. She is especially known for pioneering work on hyperspectral indices for soil and vegetation assessment and for innovative statistical approaches to remote sensing time series with spatial dimensions. Her research has received international visibility, including coverage by Nature Geoscience and New Scientist, and she has contributed to advisory bodies such as the Seosat/Ingenio Mission Advisory Group. She has coordinated numerous national and international research projects, supervised doctoral theses, and taught extensively at undergraduate, master’s, and doctoral levels. Her scholarly impact is reflected in 44 documents, an h-index of 21, and approximately 1,743 citations. Overall, Dr. Palacios-Orueta is a leading scholar whose work has significantly advanced the understanding of land–atmosphere interactions and environmental monitoring through remote sensing.

Citation Metrics (Scopus)

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21

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h-index

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Featured Publications

David Almorza | Statistical Analysis | Best Researcher Award

Dr. David Almorza | Statistical Analysis | Best Researcher Award

University of Cádiz | Spain

Dr. David Almorza Gomar is a Profesor Titular in the Department of Statistics and Operational Research at the University of Cádiz, Spain. He earned his Ph.D. in Mathematics from the University of Cádiz in 1998, with a doctoral thesis on the characterization of the Pólya distribution. Over his academic career, he has authored more than 85 publications. According to Google Scholar, his work has been cited 379 times, and he holds an h-index of 11. His early research focused on environmental statistics, probability distributions and genetics, while more recently he has explored applied statistics in education, well‑being (happiness), and sports, particularly university football. Among his notable contributions is a 2022 study evaluating an experience of “academic happiness” through football, published in the International Journal of Environmental Research and Public Health, showing how rule changes promoted fair play and reduced disciplinary sanctions. He has also applied multivariate statistical techniques to maritime safety in a recent work on the Paris MoU inspections. For his scientific achievements, he has been recognized by the Genetic Society of Argentina with a medal. In sum, Dr. Almorza is a versatile statistician whose interdisciplinary research spans mathematics, genetics, education, and sport, contributing both theoretical insight and practical societal impact.

Profiles : Scopus | Orcid

Featured Publications

Bazco Nogueras, E., Sanagustín-Fons, V., & Almorza-Gomar, D. (2025). “Job stress in industrial company: The impact of gender, age and seniority on tension levels” in Anduli.

Almorza Salas, D. (2025). “La imprenta en Cádiz: 1960, 1961 y 1962” in Gaditana-Logía.

Prieto, J. M., Almorza, D., Amor-Esteban, V., & Endrina, N. (2025). “Review of ship risk analyses through deficiencies found in port state inspections” in Journal of Marine Science and Engineering.

Prieto, J. M., Almorza, D., Amor-Esteban, V., Muñoz-Perez, J. J., & Jigena-Antelo, B. (2025). “Identification of risk patterns by type of ship through correspondence analysis of port state control: A differentiated approach to inspection to enhance maritime safety and pollution prevention” in Oceans.

Almorza, D., Prieto, J. M., Amor-Esteban, V., & Piniella, F. (2024). “Port state control inspections under the Paris Memorandum of Understanding and their contribution to maritime safety: Additional risk classifications and indicators using multivariate techniques” in Journal of Marine Science and Engineering.