Stefano Ubbiali

944 total citations · 1 hit paper
5 papers, 539 citations indexed

About

Stefano Ubbiali is a scholar working on Atmospheric Science, Computational Mechanics and Global and Planetary Change. According to data from OpenAlex, Stefano Ubbiali has authored 5 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Atmospheric Science, 2 papers in Computational Mechanics and 2 papers in Global and Planetary Change. Recurrent topics in Stefano Ubbiali's work include Meteorological Phenomena and Simulations (3 papers), Climate variability and models (2 papers) and Ionosphere and magnetosphere dynamics (1 paper). Stefano Ubbiali is often cited by papers focused on Meteorological Phenomena and Simulations (3 papers), Climate variability and models (2 papers) and Ionosphere and magnetosphere dynamics (1 paper). Stefano Ubbiali collaborates with scholars based in Switzerland, Germany and Austria. Stefano Ubbiali's co-authors include Jan S. Hesthaven, Christoph Schär, T. C. Schulthess, Linda Schlemmer, Heini Wernli, Michael Sprenger, Oliver Fuhrer, Xavier Lapillonne, David Leutwyler and Katherine Osterried and has published in prestigious journals such as Journal of Computational Physics, Bulletin of the American Meteorological Society and Geoscientific model development.

In The Last Decade

Stefano Ubbiali

5 papers receiving 525 citations

Hit Papers

Non-intrusive reduced order modeling of nonlinear problem... 2018 2026 2020 2023 2018 100 200 300

Peers

Stefano Ubbiali
Comparison fields: 5 of 72
  • Statistical and Nonlinear Physics 307
  • Computational Mechanics 142
  • Atmospheric Science 137
  • Statistics, Probability and Uncertainty 129
  • Global and Planetary Change 121
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Citations per field, relative to Stefano Ubbiali
Stefano Ubbiali · 1×
Citations per year, relative to Stefano Ubbiali
Stefano Ubbiali · 1×

Countries citing papers authored by Stefano Ubbiali

Since Specialization
Citations

This map shows the geographic impact of Stefano Ubbiali's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stefano Ubbiali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Ubbiali more than expected).

Fields of papers citing papers by Stefano Ubbiali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefano Ubbiali. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stefano Ubbiali. The network helps show where Stefano Ubbiali may publish in the future.

Co-authorship network of co-authors of Stefano Ubbiali

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Ubbiali. A scholar is included among the top collaborators of Stefano Ubbiali based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefano Ubbiali. Stefano Ubbiali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
# Work Indexed citations
1 1
2 1
3 7
4 148
5
Non-intrusive reduced order modeling of nonlinear problems using neural networks breakdown →
382

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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