Sebastian Scher
- Atmospheric Science top 5%
- Meteorological Phenomena and Simulations 17
- Tropical and Extratropical Cyclones Research 4
- Global and Planetary Change top 5%
- Climate variability and models 13
- Atmospheric and Environmental Gas Dynamics 3
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI 5
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- Computational Physics and Python Applications 3
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- Stellar, planetary, and galactic studies 2
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- Icing and De-icing Technologies 2
- Co-authors
- Gabriele MessoriJulian QuintingJoaquim G. PintoAssaf HochmanStefanie PeßenteinerHylke de VriesSybren DrijfhoutRein Haarsma
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)Geophysical Research Letters (2 papers)
- Partner nations
- SwedenAustriaUnited Kingdom
In The Last Decade
Sebastian Scher
23 papers receiving 614 citations
Peers
Comparison fields: 5 of 80
- Atmospheric Science 383
- Global and Planetary Change 324
- Environmental Engineering 177
- Statistical and Nonlinear Physics 60
- Oceanography 48
Countries citing papers authored by Sebastian Scher
This map shows the geographic impact of Sebastian Scher'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 Sebastian Scher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Scher more than expected).
Fields of papers citing papers by Sebastian Scher
This network shows the impact of papers produced by Sebastian Scher. 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 Sebastian Scher. The network helps show where Sebastian Scher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sebastian Scher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 11 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 27 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 16 | |
| 11 | Artificial intelligence in weather and climate prediction : Learning atmospheric dynamics | 2020 | 3 |
| 12 | 2019 | 0 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 29 | |
| 15 | 2019 | 91 | |
| 16 | 2019 | 29 | |
| 17 | 2019 | 18 | |
| 18 | 2018 | 168 | |
| 19 | 2018 | 18 | |
| 20 | 2017 | 7 |
About Sebastian Scher
Sebastian Scher is a scholar working on Atmospheric Science, Global and Planetary Change and Instrumentation, having authored 25 papers that have together received 632 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (17 papers), Climate variability and models (13 papers), Hydrological Forecasting Using AI (5 papers), Tropical and Extratropical Cyclones Research (4 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Computational Physics and Python Applications (3 papers), Stellar, planetary, and galactic studies (2 papers) and Icing and De-icing Technologies (2 papers). The work is most often cited by research in Atmospheric Science (383 citations), Global and Planetary Change (324 citations) and Environmental Engineering (177 citations). Sebastian Scher has collaborated with scholars based in Sweden, Austria and United Kingdom. Frequent co-authors include Gabriele Messori, Julian Quinting, Joaquim G. Pinto, Assaf Hochman, Stefanie Peßenteiner, Hylke de Vries, Sybren Drijfhout, Rein Haarsma, Aarnout van Delden and Hans Bergström. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Geophysical Research Letters.
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.