David Spiegelhalter

12.6k total citations · 8 hit papers
77 papers, 7.5k citations indexed

About

David Spiegelhalter is a scholar working on Sociology and Political Science, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, David Spiegelhalter has authored 77 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Sociology and Political Science, 11 papers in Artificial Intelligence and 10 papers in Economics and Econometrics. Recurrent topics in David Spiegelhalter's work include Climate Change Communication and Perception (11 papers), Risk Perception and Management (8 papers) and Misinformation and Its Impacts (7 papers). David Spiegelhalter is often cited by papers focused on Climate Change Communication and Perception (11 papers), Risk Perception and Management (8 papers) and Misinformation and Its Impacts (7 papers). David Spiegelhalter collaborates with scholars based in United Kingdom, United States and Canada. David Spiegelhalter's co-authors include Steffen L. Lauritzen, Robert G. Cowell, Alexandra L. J. Freeman, Sander van der Linden, Anne Marthe van der Bles, Gabriel Recchia, Claudia R. Schneider, Sarah Dryhurst, John R. Kerr and M Pearson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David Spiegelhalter

77 papers receiving 7.1k citations

Hit Papers

Risk perceptions ... 1999 2026 2008 2017 2020 1999 2011 2014 2012 400 800 1.2k

Peers

David Spiegelhalter
MTW United States
David E. Booth United States
Joseph M. Hilbe United States
Jan de Leeuw Netherlands
Brian Francis United Kingdom
David C. Hoaglin United States
Gareth James United States
Matthias Schonlau United States
Richard J. Light United States
MTW United States
David Spiegelhalter
Citations per year, relative to David Spiegelhalter David Spiegelhalter (= 1×) peers MTW

Countries citing papers authored by David Spiegelhalter

Since Specialization
Citations

This map shows the geographic impact of David Spiegelhalter'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 David Spiegelhalter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Spiegelhalter more than expected).

Fields of papers citing papers by David Spiegelhalter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Spiegelhalter. 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 David Spiegelhalter. The network helps show where David Spiegelhalter may publish in the future.

Co-authorship network of co-authors of David Spiegelhalter

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

All Works

20 of 20 papers shown
1.
Schneider, Claudia R., Alexandra L. J. Freeman, David Spiegelhalter, & Sander van der Linden. (2022). The effects of communicating scientific uncertainty on trust and decision making in a public health context. Judgment and Decision Making. 17(4). 849–882. 13 indexed citations
2.
Freeman, Alexandra L. J., John R. Kerr, Gabriel Recchia, et al.. (2021). Communicating personalized risks from COVID-19: guidelines from an empirical study. Royal Society Open Science. 8(4). 201721–201721. 14 indexed citations
3.
Recchia, Gabriel, Alexandra L. J. Freeman, & David Spiegelhalter. (2021). How well did experts and laypeople forecast the size of the COVID-19 pandemic?. PLoS ONE. 16(5). e0250935–e0250935. 29 indexed citations
4.
Farmer, George, M Pearson, William J. Skylark, Alexandra L. J. Freeman, & David Spiegelhalter. (2021). Redevelopment of the Predict: Breast Cancer website and recommendations for developing interfaces to support decision‐making. Cancer Medicine. 10(15). 5141–5153. 11 indexed citations
5.
Freeman, Alexandra L. J., Simon T. Parker, Catherine J. Noakes, et al.. (2021). Expert elicitation on the relative importance of possible SARS-CoV-2 transmission routes and the effectiveness of mitigations. BMJ Open. 11(12). e050869–e050869. 7 indexed citations
6.
Jackson, Christopher, et al.. (2021). The adverse effects of bisphosphonates in breast cancer: A systematic review and network meta-analysis. PLoS ONE. 16(2). e0246441–e0246441. 25 indexed citations
7.
Schneider, Claudia R., Sarah Dryhurst, John R. Kerr, et al.. (2021). COVID-19 risk perception: a longitudinal analysis of its predictors and associations with health protective behaviours in the United Kingdom. Journal of Risk Research. 24(3-4). 294–313. 174 indexed citations breakdown →
8.
Schneider, Claudia R., Alexandra L. J. Freeman, David Spiegelhalter, & Sander van der Linden. (2021). The effects of quality of evidence communication on perception of public health information about COVID-19: Two randomised controlled trials. PLoS ONE. 16(11). e0259048–e0259048. 16 indexed citations
9.
Dryhurst, Sarah, Claudia R. Schneider, John R. Kerr, et al.. (2020). Risk perceptions of COVID-19 around the world. Journal of Risk Research. 23(7-8). 994–1006. 1254 indexed citations breakdown →
10.
Bles, Anne Marthe van der, Sander van der Linden, Alexandra L. J. Freeman, & David Spiegelhalter. (2020). The effects of communicating uncertainty on public trust in facts and numbers. Proceedings of the National Academy of Sciences. 117(14). 7672–7683. 189 indexed citations breakdown →
11.
Spiegelhalter, David. (2020). Use of “normal” risk to improve understanding of dangers of covid-19. BMJ. 370. m3259–m3259. 57 indexed citations
12.
Bles, Anne Marthe van der, Sander van der Linden, Alexandra L. J. Freeman, et al.. (2019). Communicating uncertainty about facts, numbers and science. Royal Society Open Science. 6(5). 181870–181870. 249 indexed citations breakdown →
13.
Brick, Cameron, Alexandra L. J. Freeman, Steven Wooding, et al.. (2018). Winners and losers: communicating the potential impacts of policies. Palgrave Communications. 4(1). 18 indexed citations
14.
McInerny, Greg, Min Chen, Robin Freeman, et al.. (2014). Information visualisation for science and policy: engaging users and avoiding bias. Trends in Ecology & Evolution. 29(3). 148–157. 96 indexed citations
15.
Mylne, Ken, et al.. (2011). Using an online game to evaluate effective methods of communicating ensemble model output to different audiences. AGU Fall Meeting Abstracts. 2011. 5 indexed citations
16.
Hébert, Réjean, Carol Brayne, & David Spiegelhalter. (1999). Factors Associated with Functional Decline and Improvement in a Very Elderly Community-dwelling Population. American Journal of Epidemiology. 150(5). 501–510. 106 indexed citations
17.
Bull, Kate, et al.. (1995). Presentation and attrition in complex pulmonary atresia. Journal of the American College of Cardiology. 25(2). 491–499. 91 indexed citations
18.
Franklin, Rodney C. G., David Spiegelhalter, Raul Ivo Rossi Filho, et al.. (1991). Double-inlet ventricle presenting in infancy. Journal of Thoracic and Cardiovascular Surgery. 101(5). 924–934. 38 indexed citations
19.
Harris, Nomi L., David Spiegelhalter, Kate Bull, & Rodney Franklin. (1990). Criticizing Conditional Probabilities in Belief Networks. PubMed Central. 805–809. 2 indexed citations
20.
Spiegelhalter, David. (1987). A Unified Approach to Imprecision and Sensitivity of Beliefs in Expert Systems.. Uncertainty in Artificial Intelligence. 199–208. 9 indexed citations

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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