Sven Wedemeyer
- Astronomy and Astrophysics top 1%
- Solar and Space Plasma Dynamics 61
- Stellar, planetary, and galactic studies 40
- Astro and Planetary Science 27
- Ionosphere and magnetosphere dynamics 14
- Astrophysics and Star Formation Studies 8
- Instrumentation top 5%
- Atmospheric Science top 10%
- Atmospheric Ozone and Climate 15
- Artificial Intelligence top 5%
- Solar Radiation and Photovoltaics 11
- Computational Mechanics top 10%
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- Geomagnetism and Paleomagnetism Studies 8
Sven Wedemeyer
77 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 46
- Astronomy and Astrophysics 1.6k
- Instrumentation 132
- Atmospheric Science 164
- Artificial Intelligence 231
- Computational Mechanics 81
Countries citing papers authored by Sven Wedemeyer
This map shows the geographic impact of Sven Wedemeyer'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 Sven Wedemeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Wedemeyer more than expected).
Fields of papers citing papers by Sven Wedemeyer
This network shows the impact of papers produced by Sven Wedemeyer. 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 Sven Wedemeyer. The network helps show where Sven Wedemeyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sven Wedemeyer, 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 | 8 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 27 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 13 | |
| 9 | 2019 | 3 | |
| 10 | 2019 | 26 | |
| 11 | 2018 | 21 | |
| 12 | Solar Commissioning Observations of the Sun with ALMA | 2017 | 1 |
| 13 | The detection of upwardly propagating waves channeling energy from the chromosphere to the low corona | 2014 | 20 |
| 14 | 2011 | 18 | |
| 15 | Small-scale structure and dynamics of the chromospheric magnetic field | 2010 | 1 |
| 16 | 2009 | 62 | |
| 17 | 2009 | 96 | |
| 18 | 2008 | 36 | |
| 19 | 2007 | 18 | |
| 20 | Silicon as a cosmic reference element: a reassessment of the solar SI abundance | 1999 | 1 |
About Sven Wedemeyer
Sven Wedemeyer is a scholar working on Astronomy and Astrophysics, Instrumentation, Atmospheric Science, Computational Mechanics and Artificial Intelligence, having authored 81 papers that have together received 1.7k indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (61 papers), Stellar, planetary, and galactic studies (40 papers), Astro and Planetary Science (27 papers), Atmospheric Ozone and Climate (15 papers), Ionosphere and magnetosphere dynamics (14 papers), Solar Radiation and Photovoltaics (11 papers), Astrophysics and Star Formation Studies (8 papers) and Geomagnetism and Paleomagnetism Studies (8 papers). The work is most often cited by research in Astronomy and Astrophysics (1.6k citations), Instrumentation (132 citations), Atmospheric Science (164 citations), Artificial Intelligence (231 citations) and Computational Mechanics (81 citations). Sven Wedemeyer has collaborated with scholars based in Norway, Germany and United States. Frequent co-authors include L. Rouppe van der Voort, B. Freytag, H.‐G. Ludwig, M. Steffen, J. Leenaarts, O. Steiner, O. Steiner, W. Schaffenberger, H. Holweger and J. de la Cruz Rodríguez. Their work appears in journals such as Astronomy and Astrophysics, The Astrophysical Journal, Space Science Reviews, Frontiers in Astronomy and Space Sciences and Nature.
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.