Alan Ebbutt

1.6k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Alan Ebbutt is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Pharmacology. According to data from OpenAlex, Alan Ebbutt has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pharmacology. Recurrent topics in Alan Ebbutt's work include Statistical Methods in Clinical Trials (6 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Optimal Experimental Design Methods (3 papers). Alan Ebbutt is often cited by papers focused on Statistical Methods in Clinical Trials (6 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Optimal Experimental Design Methods (3 papers). Alan Ebbutt collaborates with scholars based in United Kingdom, Switzerland and Belgium. Alan Ebbutt's co-authors include John A. Lewis, Philip Jarvis, Byron Jones, Lucy Frith, B. J. Prout, George C. Sutton, S. H. Taylor, D. M. Burley, Bernard Silke and Warren Lenney and has published in prestigious journals such as New England Journal of Medicine, Biometrics and Statistics in Medicine.

In The Last Decade

Alan Ebbutt

16 papers receiving 1.1k 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.

Trials to assess equivalence: the importance of rigorous methods: Fig 1

1996 757 citations Byron Jones, Philip Jarvis et al. BMJ profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alan Ebbutt United Kingdom	10	283	185	172	164	162	17	1.2k
Hsiao‐Hui Tsou Taiwan	24	262 0.9×	240 1.3×	40 0.2×	135 0.8×	254 1.6×	80	1.8k
Pascale Tubert‐Bitter France	22	206 0.7×	122 0.7×	102 0.6×	220 1.3×	60 0.4×	70	1.8k
Robert Temple United States	12	246 0.9×	361 2.0×	270 1.6×	41 0.3×	143 0.9×	35	1.3k
Bernard Bégaud France	30	233 0.8×	344 1.9×	155 0.9×	131 0.8×	87 0.5×	79	3.0k
Shahrul Mt‐Isa United Kingdom	19	106 0.4×	251 1.4×	52 0.3×	57 0.3×	87 0.5×	52	1.3k
Françoise Haramburu France	30	193 0.7×	311 1.7×	130 0.8×	121 0.7×	82 0.5×	129	2.7k
John C. Sinclair Canada	13	98 0.3×	89 0.5×	34 0.2×	198 1.2×	57 0.4×	28	732
Jennifer Christian United States	20	89 0.3×	177 1.0×	225 1.3×	117 0.7×	69 0.4×	61	1.2k
Wyndy L. Wiitala United States	22	36 0.1×	129 0.7×	267 1.6×	59 0.4×	100 0.6×	44	1.9k
Cyr Emile M’lan Canada	9	245 0.9×	79 0.4×	44 0.3×	26 0.2×	106 0.7×	9	864

Countries citing papers authored by Alan Ebbutt

Since Specialization

Citations

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

Fields of papers citing papers by Alan Ebbutt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Ebbutt

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

All Works

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17 of 17 papers shown

Ebbutt, Alan. (2008). An Introduction to Categorical Data Analysis (second edition) Alan Agresti (2007) ISBN: 9780471226185; 372 pages; £50.30, $94.9, €66.40 Wiley; http://www.wiley.com/. Pharmaceutical Statistics. 7(4). 307–307.

Ebbutt, Alan, et al.. (2003). Issues in applying recent CPMP ‘Points to Consider’ and FDA guidance documents with biostatistical implications. Pharmaceutical Statistics. 2(4). 241–251. 2 indexed citations

Huitfeldt, Bernhard, et al.. (2001). Choice of Control in Clinical Trials—Issues and Implications of ICH-E10. Drug Information Journal. 35(4). 1147–1156. 10 indexed citations

Ebbutt, Alan, et al.. (2000). The International Conference on Harmonization Guideline “Statistical Principles for Clinical Trials”: Issues in Applying the Guideline in Practice. Drug Information Journal. 34(2). 337–348. 23 indexed citations

Ebbutt, Alan & Lucy Frith. (1998). Practical issues in equivalence trials. Statistics in Medicine. 17(15-16). 1691–1701. 103 indexed citations

Lindsey, J. K., B. Jones, & Alan Ebbutt. (1997). Simple models for repeated ordinal responses with an application to a seasonal rhinitis clinical trial. Statistics in Medicine. 16(24). 2873–2882. 9 indexed citations

Hassani, Habib & Alan Ebbutt. (1996). USE OF A STOCHASTIC MODEL FOR REPEATED BINARY ASSESSMENT. Statistics in Medicine. 15(23). 2617–2627. 8 indexed citations

Jones, Byron, Philip Jarvis, John A. Lewis, & Alan Ebbutt. (1996). Trials to assess equivalence: the importance of rigorous methods: Fig 1. BMJ. 313(7048). 36–39. 757 indexed citations breakdown →

Lenney, Warren, et al.. (1995). Efficacy and safety of salmeterol in childhood asthma. European Journal of Pediatrics. 154(12). 983–990. 51 indexed citations

10.

Ebbutt, Alan. (1984). Three-Period Crossover Designs for Two Treatments. Biometrics. 40(1). 219–219. 60 indexed citations

11.

Taylor, S. H., Bernard Silke, Alan Ebbutt, et al.. (1982). A Long-Term Prevention Study with Oxprenolol in Coronary Heart Disease. New England Journal of Medicine. 307(21). 1293–1301. 90 indexed citations

12.

Ebbutt, Alan, et al.. (1981). A Multicentre Study of Cardioselective Metoprolol (Lopresor) and Non‐selective Propranolol in the Management of Mild to Moderate Hypertension. International Journal of Clinical Practice. 35(11-12). 399–402. 1 indexed citations

13.

Crisp, A J, et al.. (1980). Lipids and lipoprotein fractions after cyclopenthiazide and oxprenolol: A double-blind crossover study. Current Medical Research and Opinion. 7(2). 101–103. 13 indexed citations

14.

Kendall, M. J., et al.. (1979). Metoprolol with and without chlorthalidone in hypertension. Clinical Pharmacology & Therapeutics. 25(1). 25–32. 11 indexed citations

15.

Ebbutt, Alan, et al.. (1979). A Multicentre Study Examining the Substitution of Trasidrex for the Free Combination of Slow-Trasicor and Navidrex-K. Journal of International Medical Research. 7(6). 524–527. 9 indexed citations

16.

Ebbutt, Alan, R. Elsdon‐Dew, & James E. Murphy. (1978). Trasidrex (A Fixed Combination of Slow Trasicor 160mg and Navidrex 0.25mg) in the Treatment of Hypertension: A Multicentre Clinical Trial in General Practice. Journal of International Medical Research. 6(6). 494–498. 3 indexed citations

17.

Kendall, M. J., M. Mitchard, Malcolm West, VA John, & Alan Ebbutt. (1976). Factors influencing the absorption of oxprenolol A pharmacokinetic study. European Journal of Drug Metabolism and Pharmacokinetics. 1(3). 155–160. 15 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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