Raphael Sonabend

2.5k total citations
19 papers, 320 citations indexed

About

Raphael Sonabend is a scholar working on Infectious Diseases, Artificial Intelligence and Health. According to data from OpenAlex, Raphael Sonabend has authored 19 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Artificial Intelligence and 4 papers in Health. Recurrent topics in Raphael Sonabend's work include COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Raphael Sonabend is often cited by papers focused on COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Raphael Sonabend collaborates with scholars based in United Kingdom, Germany and Australia. Raphael Sonabend's co-authors include Bernd Bischl, Michel Lang, Sebastian J. Vollmer, Bilal A. Mateen, Andreas Bender, Andrew McGovern, Andrew T. Hattersley, Spiros Denaxas, John Dennis and Kashyap Patel and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Raphael Sonabend

17 papers receiving 313 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Raphael Sonabend United Kingdom 8 122 45 44 42 40 19 320
Zachary H. Strasser United States 7 74 0.6× 58 1.3× 30 0.7× 29 0.7× 27 0.7× 12 222
Jaideep Chakladar United States 12 100 0.8× 58 1.3× 111 2.5× 60 1.4× 181 4.5× 23 505
Laura Brenner United States 9 63 0.5× 23 0.5× 22 0.5× 55 1.3× 54 1.4× 16 259
Yuan-Nian Hsu Taiwan 8 79 0.6× 16 0.4× 31 0.7× 22 0.5× 61 1.5× 17 330
Yan Chak Li United States 4 103 0.8× 55 1.2× 44 1.0× 33 0.8× 13 0.3× 8 210
Ash Kieran Clift United Kingdom 7 48 0.4× 27 0.6× 86 2.0× 30 0.7× 22 0.6× 10 230
Lei Hua China 8 296 2.4× 18 0.4× 29 0.7× 72 1.7× 146 3.6× 25 652
Phyllis Thangaraj United States 7 161 1.3× 26 0.6× 19 0.4× 16 0.4× 38 0.9× 16 331
Juliana Tolles United States 8 35 0.3× 11 0.2× 39 0.9× 58 1.4× 47 1.2× 24 313
Siddharth Gosavi India 8 62 0.5× 40 0.9× 54 1.2× 33 0.8× 17 0.4× 24 297

Countries citing papers authored by Raphael Sonabend

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Raphael Sonabend

This figure shows the co-authorship network connecting the top 25 collaborators of Raphael Sonabend. A scholar is included among the top collaborators of Raphael Sonabend 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 Raphael Sonabend. Raphael Sonabend is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Sonabend, Raphael, et al.. (2024). Deep learning for survival analysis: a review. Artificial Intelligence Review. 57(3). 45 indexed citations
2.
Sonabend, Raphael, et al.. (2024). FAIR-USE4OS: Guidelines for creating impactful open-source software. PLoS Computational Biology. 20(5). e1012045–e1012045.
3.
Hinsley, Wes, et al.. (2024). The impact of health inequity on spatial variation of COVID-19 transmission in England. PLoS Computational Biology. 20(5). e1012141–e1012141.
4.
Bischl, Bernd, Raphael Sonabend, Lars Kotthoff, & Michel Lang. (2023). Applied Machine Learning Using mlr3 in R. 16 indexed citations
5.
Perez‐Guzman, Pablo N., Edward Knock, Natsuko Imai, et al.. (2023). Epidemiological drivers of transmissibility and severity of SARS-CoV-2 in England. Nature Communications. 14(1). 4279–4279. 18 indexed citations
6.
Imai, Natsuko, Edward Knock, Raphael Sonabend, et al.. (2023). Quantifying the effect of delaying the second COVID-19 vaccine dose in England: a mathematical modelling study. The Lancet Public Health. 8(3). e174–e183. 14 indexed citations
7.
Sonabend, Raphael, et al.. (2023). Deep Learning for Survival Analysis: A Review. arXiv (Cornell University). 2 indexed citations
8.
Sonabend, Raphael, Andreas Bender, & Sebastian J. Vollmer. (2022). Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures. Bioinformatics. 38(17). 4178–4184. 7 indexed citations
9.
10.
Sonabend, Raphael, Franz J. Király, Andreas Bender, Bernd Bischl, & Michel Lang. (2021). mlr3proba: an R package for machine learning in survival analysis. Bioinformatics. 37(17). 2789–2791. 61 indexed citations
11.
Nonaka, Tetsushi, et al.. (2021). Cultural transmission and perception of vessel shapes among Hebron potters. Journal of Anthropological Archaeology. 63. 101334–101334. 10 indexed citations
12.
Sonabend, Raphael, Franz J. Király, Andreas Bender, Bernd Bischl, & Michel Lang. (2020). mlr3proba: Machine Learning Survival Analysis in R.. arXiv (Cornell University). 1 indexed citations
13.
Dennis, John, Bilal A. Mateen, Raphael Sonabend, et al.. (2020). Type 2 Diabetes and COVID-19–Related Mortality in the Critical Care Setting: A National Cohort Study in England, March–July 2020. Diabetes Care. 44(1). 50–57. 120 indexed citations
14.
Nonaka, Tetsushi, et al.. (2020). Assessing the influence of culture on craft skills: A quantitative study with expert Nepalese potters. PLoS ONE. 15(10). e0239139–e0239139. 5 indexed citations
15.
Dennis, John, Bilal A. Mateen, Raphael Sonabend, et al.. (2020). Diabetes and COVID-19 Related Mortality in the Critical Care Setting: A Real-Time National Cohort Study in England. SSRN Electronic Journal. 4 indexed citations
16.
Mateen, Bilal A., et al.. (2020). The role of impulsivity in neurorehabilitation: A prospective cohort study of a potential cognitive biomarker for fall risk?. Journal of Neuropsychology. 15(3). 379–395. 1 indexed citations
17.
Mateen, Bilal A. & Raphael Sonabend. (2019). All I Want for Christmas is…Rigorous Validation of Predictive Models to Prevent Hasty Generalisations. Significance. 16(6). 20–24. 1 indexed citations
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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.

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