Simon Day
Impact in
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- Meta-analysis and systematic reviews
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
Papers in
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- Health Systems, Economic Evaluations, Quality of Life 1
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- Meta-analysis and systematic reviews 1
- Co-authors
- Douglas G. Altman (1 shared paper)Paula Williamson (1 shared paper)Steff Lewis (1 shared paper)Pilar Lim (1 shared paper)Deborah Stocken (1 shared paper)Edmund Juszczak (1 shared paper)Jesse A. Berlin (1 shared paper)Stephen Senn (1 shared paper)
- Journals
- Pharmaceutical Statistics (2 papers)British Journal of Clinical Pharmacology (1 paper)JAMA (1 paper)Journal of the Royal Statistical Society Series D (The Statistician) (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Simon Day
4 papers receiving 591 citations
Simon Day's Hit Papers
Peers
Comparison fields: 5 of 112
- Statistics, Probability and Uncertainty 50
- Statistics and Probability 48
- Clinical Psychology 91
- Organizational Behavior and Human Resource Management 46
- Neuropsychology and Physiological Psychology 6
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 18 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
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 323 | |
| 2 | Guidelines for the Content of Statistical Analysis Plans in Clinical Trials Hit paper breakdown → | 2017 | 281 |
| 3 | 2017 | 6 | |
| 4 | 2005 | 1 | |
| 5 | 2006 | 0 |
About Simon Day
Simon Day is a scholar working on Economics and Econometrics, Statistics, Probability and Uncertainty, Statistics and Probability, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 611 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (1 paper), Statistical Methods in Clinical Trials (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (50 citations), Statistics and Probability (48 citations), Clinical Psychology (91 citations), Organizational Behavior and Human Resource Management (46 citations) and Neuropsychology and Physiological Psychology (6 citations). Simon Day has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Douglas G. Altman, Paula Williamson, Steff Lewis, Pilar Lim, Deborah Stocken, Edmund Juszczak, Jesse A. Berlin, Stephen Senn, Yolanda Barbáchano and Caroline J Doré. Their work appears in journals such as Pharmaceutical Statistics, British Journal of Clinical Pharmacology, JAMA and Journal of the Royal Statistical Society Series D (The Statistician).
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.