Michael J. Grayling

1.4k total citations · 1 hit paper
58 papers, 738 citations indexed

About

Michael J. Grayling is a scholar working on Statistics and Probability, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Michael J. Grayling has authored 58 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistics and Probability, 18 papers in Economics and Econometrics and 15 papers in Management Science and Operations Research. Recurrent topics in Michael J. Grayling's work include Statistical Methods in Clinical Trials (38 papers), Health Systems, Economic Evaluations, Quality of Life (16 papers) and Optimal Experimental Design Methods (14 papers). Michael J. Grayling is often cited by papers focused on Statistical Methods in Clinical Trials (38 papers), Health Systems, Economic Evaluations, Quality of Life (16 papers) and Optimal Experimental Design Methods (14 papers). Michael J. Grayling collaborates with scholars based in United Kingdom, New Zealand and Switzerland. Michael J. Grayling's co-authors include Adrian Mander, B. P. Sweeney, James Wason, Charles D. Deakin, Karla Hemming, Caroline Kristunas, Mary Dixon‐Woods, A. Doussau, Andrew Copas and Joanne E. McKenzie and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, BMJ and Journal of Clinical Epidemiology.

In The Last Decade

Michael J. Grayling

51 papers receiving 718 citations

Hit Papers

Reporting of stepped wedge cluster randomised trials: ext... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Grayling United Kingdom 11 217 132 132 117 86 58 738
D. G. Altman United Kingdom 5 143 0.7× 103 0.8× 174 1.3× 11 0.1× 69 0.8× 6 743
Harriet F. Peterson United States 17 114 0.5× 116 0.9× 223 1.7× 14 0.1× 146 1.7× 23 1.3k
Iván Díaz United States 22 353 1.6× 52 0.4× 153 1.2× 9 0.1× 58 0.7× 97 1.3k
Thomas A. Murray United States 14 169 0.8× 435 3.3× 73 0.6× 12 0.1× 15 0.2× 48 1.4k
Ulka B. Campbell United States 17 129 0.6× 105 0.8× 152 1.2× 5 0.0× 89 1.0× 31 1.0k
Robert LoCasale United States 14 85 0.4× 200 1.5× 74 0.6× 75 0.6× 21 0.2× 23 602
SJ Pocock United Kingdom 11 199 0.9× 138 1.0× 134 1.0× 6 0.1× 19 0.2× 16 1.0k
A. Doussau France 6 45 0.2× 217 1.6× 66 0.5× 7 0.1× 74 0.9× 12 609
Bray Patrick‐Lake United States 14 134 0.6× 52 0.4× 323 2.4× 5 0.0× 248 2.9× 18 916
Valeria Pacheco‐Huergo Spain 10 173 0.8× 110 0.8× 260 2.0× 3 0.0× 140 1.6× 14 768

Countries citing papers authored by Michael J. Grayling

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Grayling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Grayling. 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 Michael J. Grayling. The network helps show where Michael J. Grayling may publish in the future.

Co-authorship network of co-authors of Michael J. Grayling

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Grayling. A scholar is included among the top collaborators of Michael J. Grayling 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 Michael J. Grayling. Michael J. Grayling 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.
Wason, James, et al.. (2024). A hybrid approach to sample size re‐estimation in cluster randomized trials with continuous outcomes. Statistics in Medicine. 43(24). 4736–4751.
2.
Robertson, David S., Thomas J Burnett, Babak Choodari‐Oskooei, et al.. (2024). Confidence intervals for adaptive trial designs I: A methodological review. arXiv (Cornell University).
3.
Wason, James, et al.. (2023). A Comparison of Randomization Methods for Multi-Arm Clinical Trials. Statistics in Biopharmaceutical Research. 16(2). 205–217. 1 indexed citations
4.
Grayling, Michael J., James Wason, & Sofía S. Villar. (2022). Response adaptive intervention allocation in stepped‐wedge cluster randomized trials. Statistics in Medicine. 41(6). 1081–1099. 2 indexed citations
5.
Kunzmann, Kevin, et al.. (2022). Conditional power and friends: The why and how of (un)planned, unblinded sample size recalculations in confirmatory trials. Statistics in Medicine. 41(5). 877–890. 8 indexed citations
7.
Grayling, Michael J., Adrian Mander, Nurulamin M Noor, et al.. (2022). Subgroup analyses in randomized controlled trials frequently categorized continuous subgroup information. Journal of Clinical Epidemiology. 150. 72–79. 8 indexed citations
8.
Grayling, Michael J. & James Wason. (2022). Point estimation following a two-stage group sequential trial. Statistical Methods in Medical Research. 32(2). 287–304. 3 indexed citations
9.
Grayling, Michael J., et al.. (2021). Characterising the allergic profile of children with cystic fibrosis. Immunity Inflammation and Disease. 10(1). 60–69. 3 indexed citations
10.
Grayling, Michael J., et al.. (2021). Treatment allocation strategies for umbrella trials in the presence of multiple biomarkers: A comparison of methods. Pharmaceutical Statistics. 20(6). 990–1001. 2 indexed citations
11.
Mossop, Helen, Michael J. Grayling, Ferdia A. Gallagher, et al.. (2021). Advantages of multi-arm non-randomised sequentially allocated cohort designs for Phase II oncology trials. British Journal of Cancer. 126(2). 204–210. 1 indexed citations
12.
Grayling, Michael J., et al.. (2021). Innovative trial approaches in immune-mediated inflammatory diseases: current use and future potential. BMC Rheumatology. 5(1). 21–21. 13 indexed citations
13.
Kunzmann, Kevin, et al.. (2021). A Review of Bayesian Perspectives on Sample Size Derivation for Confirmatory Trials. The American Statistician. 75(4). 424–432. 9 indexed citations
14.
Grayling, Michael J. & Graham Wheeler. (2020). A review of available software for adaptive clinical trial\ndesign. Europe PMC (PubMed Central). 18 indexed citations
15.
Law, Martin, Michael J. Grayling, & Adrian Mander. (2020). A stochastically curtailed two‐arm randomised phaseIItrial design for binary outcomes. Pharmaceutical Statistics. 20(2). 212–228. 4 indexed citations
16.
Grayling, Michael J., et al.. (2019). Sample size re-estimation in crossover trials: application to the AIM HY-INFORM study. Trials. 20(1). 665–665. 3 indexed citations
17.
Grayling, Michael J., Adrian Mander, & James Wason. (2019). Two-Stage Adaptive Designs for Three-Treatment Bioequivalence Studies. Statistics in Biopharmaceutical Research. 11(4). 360–374. 2 indexed citations
18.
Grayling, Michael J., James Wason, & Adrian Mander. (2018). . Newcastle University ePrints (Newcastle Univesity). 2 indexed citations
19.
Hemming, Karla, Monica Taljaard, Joanne E. McKenzie, et al.. (2018). Reporting of stepped wedge cluster randomised trials: extension of the CONSORT 2010 statement with explanation and elaboration. BMJ. 363. k1614–k1614. 247 indexed citations breakdown →
20.
Grayling, Michael J., Iain H. Wilson, & B M Thomas. (2002). The use of the laryngeal mask airway and Combitube® in cardiopulmonary resuscitation; a national survey. Resuscitation. 52(2). 183–186. 14 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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