Raphael Sonabend
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- Health 3
- Vaccine Coverage and Hesitancy 2
- Co-authors
- Bernd Bischl (6 shared papers)Michel Lang (3 shared papers)Andreas Bender (2 shared papers)Franz J. Király (4 shared papers)Andreas Bender (3 shared papers)Lars Kotthoff (2 shared papers)Sebastian J. Vollmer (2 shared papers)John A. Endler (2 shared papers)
- Journals
- Bioinformatics (2 papers)PLoS Computational Biology (2 papers)Artificial Intelligence Review (1 paper)The Lancet Public Health (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomGermanyAustralia
In The Last Decade
Raphael Sonabend
17 papers receiving 218 citations
Peers
Comparison fields: 5 of 89
- Archeology 6
- Modeling and Simulation 21
- Health Informatics 6
- Statistics and Probability 20
- Health 12
Countries citing papers authored by Raphael Sonabend
This map shows the geographic impact of Raphael Sonabend'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 Raphael Sonabend with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Sonabend more than expected).
Fields of papers citing papers by Raphael Sonabend
This network shows the impact of papers produced by Raphael Sonabend. 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 Raphael Sonabend. The network helps show where Raphael Sonabend may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphael Sonabend, 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 | 67 | |
| 2 | 2024 | 57 | |
| 3 | 2023 | 19 | |
| 4 | 2023 | 18 | |
| 5 | 2023 | 14 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 10 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 2 | |
| 13 | 2023 | 2 | |
| 14 | mlr3proba: Machine Learning Survival Analysis in R. | 2020 | 1 |
| 15 | 2019 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Raphael Sonabend
Raphael Sonabend is a scholar working on Infectious Diseases, Health, Artificial Intelligence, Modeling and Simulation and Health, Toxicology and Mutagenesis, having authored 19 papers that have together received 225 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Vaccine Coverage and Hesitancy (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Health, Environment, Cognitive Aging (2 papers), Diabetes and associated disorders (1 paper) and Language and cultural evolution (1 paper). The work is most often cited by research in Archeology (6 citations), Modeling and Simulation (21 citations), Health Informatics (6 citations), Statistics and Probability (20 citations) and Health (12 citations). Raphael Sonabend has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Bernd Bischl, Michel Lang, Andreas Bender, Franz J. Király, Andreas Bender, Lars Kotthoff, Sebastian J. Vollmer, John A. Endler, Bilal A. Mateen and Tetsushi Nonaka. Their work appears in journals such as Bioinformatics, PLoS Computational Biology, Artificial Intelligence Review, The Lancet Public Health and PLoS ONE.
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.