Vanessa Böhm
Impact in
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories
- Galaxies: Formation, Evolution, Phenomena
- Radio Astronomy Observations and Technology
- Gamma-ray bursts and supernovae
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- Astronomy and Astrophysical Research
Papers in
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- Galaxies: Formation, Evolution, Phenomena 6
- Cosmology and Gravitation Theories 5
- Gamma-ray bursts and supernovae 3
- Radio Astronomy Observations and Technology 2
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- Gaussian Processes and Bayesian Inference 1
- Co-authors
- Marcel Schmittfull (2 shared papers)Blake D. Sherwin (2 shared papers)J. Colin Hill (2 shared papers)Chirag Modi (1 shared paper)Uroš Seljak (1 shared paper)Simone Ferraro (1 shared paper)George Stein (1 shared paper)Jia Liu (2 shared papers)
- Journals
- Physical review. D (4 papers)Nature Astronomy (1 paper)Monthly Notices of the Royal Astronomical Society (1 paper)Astronomy and Computing (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesGermanyTaiwan
In The Last Decade
Vanessa Böhm
9 papers receiving 188 citations
Peers
Comparison fields: 5 of 65
- Astronomy and Astrophysics 122
- Instrumentation 21
- Modeling and Simulation 26
- Nuclear and High Energy Physics 35
- Infectious Diseases 17
Countries citing papers authored by Vanessa Böhm
This map shows the geographic impact of Vanessa Böhm'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 Vanessa Böhm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanessa Böhm more than expected).
Fields of papers citing papers by Vanessa Böhm
This network shows the impact of papers produced by Vanessa Böhm. 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 Vanessa Böhm. The network helps show where Vanessa Böhm may publish in the future.
Co-authors
The 21 scholars most cited alongside Vanessa Böhm, 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 | 2021 | 53 | |
| 2 | 2016 | 38 | |
| 3 | 2016 | 35 | |
| 4 | 2018 | 25 | |
| 5 | 2017 | 18 | |
| 6 | 2021 | 15 | |
| 7 | 2022 | 4 | |
| 8 | 2017 | 2 | |
| 9 | 2023 | 2 |
About Vanessa Böhm
Vanessa Böhm is a scholar working on Astronomy and Astrophysics, Artificial Intelligence, Infectious Diseases, Sociology and Political Science and Atomic and Molecular Physics, and Optics, having authored 9 papers that have together received 192 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (6 papers), Cosmology and Gravitation Theories (5 papers), Gamma-ray bursts and supernovae (3 papers), Radio Astronomy Observations and Technology (2 papers), COVID-19 and healthcare impacts (1 paper), COVID-19 epidemiological studies (1 paper), Gaussian Processes and Bayesian Inference (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Astronomy and Astrophysics (122 citations), Instrumentation (21 citations), Modeling and Simulation (26 citations), Nuclear and High Energy Physics (35 citations) and Infectious Diseases (17 citations). Vanessa Böhm has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include Marcel Schmittfull, Blake D. Sherwin, J. Colin Hill, Chirag Modi, Uroš Seljak, Simone Ferraro, George Stein, Jia Liu, Blake D. Sherwin and Zoltán Haiman. Their work appears in journals such as Physical review. D, Nature Astronomy, Monthly Notices of the Royal Astronomical Society, Astronomy and Computing and Nature Communications.
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.