Simon Day
Impact in
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
-
- Meta-analysis and systematic reviews
Papers in
-
- Statistical Methods in Clinical Trials 26
-
- Health Systems, Economic Evaluations, Quality of Life 20
- Co-authors
- Gillian Raab (2 shared papers)David Graham (2 shared papers)Liora Pedhazur Schmelkin (1 shared paper)Elazar J. Pedhazur (1 shared paper)Peter Fayers (2 shared papers)W R Burnham (1 shared paper)Nigel Stallard (6 shared papers)Martin Posch (6 shared papers)
- Journals
- Pharmaceutical Statistics (10 papers)Statistics in Medicine (6 papers)Controlled Clinical Trials (4 papers)Nature Reviews Drug Discovery (3 papers)Biometrics (3 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Simon Day
60 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 165
- Statistics and Probability 366
- Statistics, Probability and Uncertainty 177
- Gastroenterology 67
- Economics and Econometrics 251
- Management Science and Operations Research 111
Countries citing papers authored by Simon Day
This map shows the geographic impact of Simon Day'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 Simon Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Day more than expected).
Fields of papers citing papers by Simon Day
This network shows the impact of papers produced by Simon Day. 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 Simon Day. The network helps show where Simon Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Day, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 335 | |
| 2 | 1994 | 235 | |
| 3 | 2000 | 135 | |
| 4 | 2018 | 77 | |
| 5 | 1994 | 77 | |
| 6 | 1986 | 70 | |
| 7 | 1998 | 69 | |
| 8 | 1991 | 59 | |
| 9 | 1991 | 44 | |
| 10 | 1989 | 43 | |
| 11 | 2017 | 38 | |
| 12 | 2014 | 33 | |
| 13 | 1995 | 30 | |
| 14 | 2020 | 24 | |
| 15 | 2013 | 23 | |
| 16 | 2014 | 22 | |
| 17 | 2016 | 20 | |
| 18 | An investigation of factors influencing the longevity of restorations in primary molars. | 1990 | 20 |
| 19 | 2015 | 19 | |
| 20 | 2004 | 19 |
About Simon Day
Simon Day is a scholar working on Statistics and Probability, Economics and Econometrics, Statistics, Probability and Uncertainty, Management Science and Operations Research and Genetics, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (26 papers), Health Systems, Economic Evaluations, Quality of Life (20 papers), Meta-analysis and systematic reviews (13 papers), Optimal Experimental Design Methods (6 papers), Genomics and Rare Diseases (5 papers), Pharmaceutical industry and healthcare (3 papers), Pharmaceutical studies and practices (3 papers) and Dental Radiography and Imaging (2 papers). The work is most often cited by research in Statistics and Probability (366 citations), Statistics, Probability and Uncertainty (177 citations), Gastroenterology (67 citations), Economics and Econometrics (251 citations) and Management Science and Operations Research (111 citations). Simon Day has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Gillian Raab, David Graham, Liora Pedhazur Schmelkin, Elazar J. Pedhazur, Peter Fayers, W R Burnham, Nigel Stallard, Martin Posch, Anneliene Hechtelt Jonker and Frank Miller. Their work appears in journals such as Pharmaceutical Statistics, Statistics in Medicine, Controlled Clinical Trials, Nature Reviews Drug Discovery and Biometrics.
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.