S. T. Suess
- Astronomy and Astrophysics top 1%
- Molecular Biology
- Artificial Intelligence top 10%
- Oceanography top 10%
- Nuclear and High Energy Physics top 10%
- Co-authors
- Steven NerneyD. J. McComasB. E. GoldsteinM. NeugebauerS. T. WuG. PolettoS. J. BameJ. T. Gosling
- Topics
- Solar and Space Plasma Dynamics (85 papers)Ionosphere and magnetosphere dynamics (52 papers)Astro and Planetary Science (37 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
S. T. Suess
84 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 39
- Astronomy and Astrophysics 2.2k
- Molecular Biology 567
- Artificial Intelligence 111
- Oceanography 107
- Nuclear and High Energy Physics 107
Countries citing papers authored by S. T. Suess
This map shows the geographic impact of S. T. Suess'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 S. T. Suess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. T. Suess more than expected).
Fields of papers citing papers by S. T. Suess
This network shows the impact of papers produced by S. T. Suess. 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 S. T. Suess. The network helps show where S. T. Suess may publish in the future.
Co-authorship network of co-authors of S. T. Suess
This figure shows the co-authorship network connecting the top 25 collaborators of S. T. Suess. A scholar is included among the top collaborators of S. T. Suess 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 S. T. Suess. S. T. Suess is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 35 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 18 | |
| 7 | 1 | |
| 8 | The Role of Alfven Waves in Solar Wind Acceleration | 1 |
| 9 | On reflection of Alfven waves in the solar wind | 0 |
| 10 | Why the Winds from Late-Type Giants and Supergiants are Cool | 0 |
| 11 | Rotation of Solar Features in Hα | 1 |
| 12 | The Outer Magnetic Field | 6 |
| 13 | Adaptive Grid MHD Simulation of Solar Disturbances Propagating from the Sun to 1 AU | 2 |
| 14 | Wave Speeds in the Corona and the Dynamics of Mass Ejections | 2 |
| 15 | 7 | |
| 16 | 24 | |
| 17 | Deformation of the Heliospheric Current Sheet | 1 |
| 18 | Operational uses for a solar soft X-ray imaging telescope | 2 |
| 19 | Modification of average coronal properties in the presence of periodic temperature and density variations near the base | 0 |
| 20 | 16 |
About S. T. Suess
S. T. Suess is a scholar working on Astronomy and Astrophysics, Oceanography and Instrumentation, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (85 papers), Ionosphere and magnetosphere dynamics (52 papers) and Astro and Planetary Science (37 papers). The work is most often cited by research in Astronomy and Astrophysics (2.2k citations), Oceanography (107 citations) and Nuclear and High Energy Physics (107 citations). S. T. Suess has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Steven Nerney, D. J. McComas, B. E. Goldstein, M. Neugebauer, S. T. Wu, G. Poletto, S. J. Bame, J. T. Gosling, J. L. Phillips and S. T. Wu. Their work appears in journals such as Nature, Science and Journal of Geophysical Research Atmospheres.
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.