Raphael Sonabend
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 5
-
- Statistical Methods and Inference 4
- Statistical Methods in Epidemiology 2
- Co-authors
- Bernd Bischl (5 shared papers)Michel Lang (2 shared papers)Andreas Bender (3 shared papers)Sebastian J. Vollmer (2 shared papers)Bilal Akhter Mateen (4 shared papers)Franz J. Király (3 shared papers)Spiros Denaxas (1 shared paper)Andrew Tym Hattersley (1 shared paper)
- Journals
- Bioinformatics (3 papers)PLoS Computational Biology (2 papers)The Lancet (1 paper)Diabetes Care (1 paper)F1000Research (1 paper)
- Partner nations
- United KingdomGermanyAustralia
In The Last Decade
Raphael Sonabend
23 papers receiving 1.6k citations
Raphael Sonabend's Hit Papers
Peers
Comparison fields: 5 of 111
- Infectious Diseases 1.1k
- Modeling and Simulation 240
- General Dentistry 3
- Statistics and Probability 48
- Health 23
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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil Hit paper breakdown → | 2021 | 1093 |
| 2 | 2020 | 135 | |
| 3 | 2021 | 117 | |
| 4 | Deep learning for survival analysis: a review Hit paper breakdown → | 2024 | 76 |
| 5 | 2021 | 73 | |
| 6 | 2022 | 34 | |
| 7 | 2023 | 25 | |
| 8 | 2023 | 21 | |
| 9 | 2023 | 16 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 13 | |
| 12 | 2022 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2021 | 3 | |
| 15 | NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature | 2018 | 2 |
| 16 | 2019 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2020 | 1 | |
| 20 | 2020 | 1 |
About Raphael Sonabend
Raphael Sonabend is a scholar working on Modeling and Simulation, Statistics and Probability, Artificial Intelligence, Infectious Diseases and Physical Therapy, Sports Therapy and Rehabilitation, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Analysis with R (6 papers), COVID-19 epidemiological studies (5 papers), Statistical Methods and Inference (4 papers), COVID-19 Clinical Research Studies (2 papers), Machine Learning in Healthcare (2 papers), Machine Learning and Data Classification (2 papers), Statistical Methods in Epidemiology (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Modeling and Simulation (240 citations), General Dentistry (3 citations), Statistics and Probability (48 citations) and Health (23 citations). Raphael Sonabend has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Bernd Bischl, Michel Lang, Andreas Bender, Sebastian J. Vollmer, Bilal Akhter Mateen, Franz J. Király, Spiros Denaxas, Andrew Tym Hattersley, Andrew Peter McGovern and Nicholas J. M. Thomas. Their work appears in journals such as Bioinformatics, PLoS Computational Biology, The Lancet, Diabetes Care and F1000Research.
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.