Philipp Otto
Scholar

Philipp Otto

Google Scholar ID: URsnzm8AAAAJ
University of Glasgow
Spatiotemporal statisticsenvironmetricsdata sciencenetwork modellingprocess monitoring
Citations & Impact
All-time
Citations
482
 
H-index
14
 
i10-index
21
 
Publications
20
 
Co-authors
52
list available
Resume (English only)
Academic Achievements
  • Published several papers including works on spatial ARCH model, spatial volatility models, regularized estimation & CV strategies; proposed an adaptive LASSO estimation procedure to fully recover the unknown weight matrix of spatial autoregressive panels with locally varying mean levels; developed a fully data-driven statistical model to understand the spatial and temporal evolution of coastal profiles; established a novel spatial GARCH process in a unified framework which also covers all previously proposed spatial ARCH models; ranked 4th worldwide in his main research area on Scopus and 1st among UK researchers.
Research Experience
  • Since July 2024, Professor of Statistics and Data Science at the School of Mathematics and Statistics, University of Glasgow; Associate Professor (Reader) from 2023 to 2024 at the same university; recognized as a Senior Fellow of Recognising Excellence in Teaching (RET) at the University of Glasgow in June 2025; Guest Professor at the Department of Engineering and Applied Sciences, University of Bergamo, Italy; Assistant Professor of Big Geospatial Data at the Institute of Cartography and Geoinformatics, Leibniz University Hannover from 2019 to 2023; Visiting Professor of Spatial Data Analysis and Statistical Learning at the University of Göttingen during the 2020-2021 academic year; previously led a junior research group focused on detecting and monitoring spatial and spatiotemporal clusters at the Viadrina Center B/ORDERS IN MOTION at the European University in Frankfurt (Oder).
Education
  • Ph.D. in Statistics from the European University Viadrina Frankfurt (Oder).
Background
  • Researcher in Spatial Statistics and Environmetrics (among top 10 worldwide); research interests include spatial ARCH models, spatial volatility models, regularized estimation & CV strategies, etc.
Miscellany
  • ORCID: https://orcid.org/0000-0002-9796-6682; Google Scholar: https://scholar.google.de/citations?user=URsnzm8AAAAJ; LinkedIn: https://www.linkedin.com/in/philipp-otto-0a9887264/