Simon Day

989 total citations · 1 hit paper
4 papers, 582 citations indexed

About

Simon Day is a scholar working on Economics and Econometrics, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, Simon Day has authored 4 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Economics and Econometrics, 2 papers in Statistics, Probability and Uncertainty and 2 papers in Statistics and Probability. Recurrent topics in Simon Day's work include Statistical Methods in Clinical Trials (2 papers), Meta-analysis and systematic reviews (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Simon Day is often cited by papers focused on Statistical Methods in Clinical Trials (2 papers), Meta-analysis and systematic reviews (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Simon Day collaborates with scholars based in United States, United Kingdom and South Africa. Simon Day's co-authors include Stephen Senn, Deborah Stocken, Jesse A. Berlin, Yolanda Barbáchano, Caroline J Doré, Pilar Lim, Carrol Gamble, Edmund Juszczak, Ashma Krishan and Elizabeth Loder and has published in prestigious journals such as JAMA, British Journal of Clinical Pharmacology and Pharmaceutical Statistics.

In The Last Decade

Simon Day

3 papers receiving 564 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Guidelines for the Content of Statistical Analysis Plans in Clinical Trials

2017 260 citations Carrol Gamble, Ashma Krishan et al. JAMA profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Day United States	3	97	91	81	66	65	4	582
M. Cameron Hay United States	15	93 1.0×	104 1.1×	53 0.7×	32 0.5×	71 1.1×	31	743
Hannah Pazderka Canada	12	180 1.9×	107 1.2×	78 1.0×	13 0.2×	31 0.5×	31	796
Miron L. Straf United States	8	49 0.5×	190 2.1×	51 0.6×	40 0.6×	67 1.0×	19	628
Ida Marais Australia	12	148 1.5×	65 0.7×	100 1.2×	23 0.3×	36 0.6×	34	702
Bryan W. Coyle United States	13	43 0.4×	67 0.7×	77 1.0×	18 0.3×	39 0.6×	20	613
Tracey Shea Australia	14	147 1.5×	131 1.4×	52 0.6×	89 1.3×	26 0.4×	20	754
W. L. Rosenbaum Canada	7	32 0.3×	61 0.7×	42 0.5×	217 3.3×	67 1.0×	10	568
Pan Wu United States	13	103 1.1×	96 1.1×	87 1.1×	6 0.1×	53 0.8×	33	770
Calvin C. Hoffman United States	11	39 0.4×	85 0.9×	86 1.1×	21 0.3×	27 0.4×	18	489

Countries citing papers authored by Simon Day

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Simon Day

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

All Works

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4 of 4 papers shown

1.

Ring, Arne, Robert Schall, Yoon K. Loke, & Simon Day. (2017). Statistical reporting of clinical pharmacology research. British Journal of Clinical Pharmacology. 83(6). 1159–1162. 6 indexed citations

2.

Gamble, Carrol, Ashma Krishan, Deborah Stocken, et al.. (2017). Guidelines for the Content of Statistical Analysis Plans in Clinical Trials. JAMA. 318(23). 2337–2337. 260 indexed citations breakdown →

3.

Day, Simon & Scott D. Patterson. (2006). Literature review September-December 2005. Pharmaceutical Statistics. 5(1). 67–69.

4.

Day, Simon, et al.. (1991). Common Problems Proper Solutions: Avoiding Error in Quantitative Research.. Journal of the Royal Statistical Society Series D (The Statistician). 40(1). 114–114. 316 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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