John Whitehead

9.6k total citations · 1 hit paper
147 papers, 4.8k citations indexed

About

John Whitehead is a scholar working on Statistics and Probability, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, John Whitehead has authored 147 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Statistics and Probability, 50 papers in Management Science and Operations Research and 27 papers in Economics and Econometrics. Recurrent topics in John Whitehead's work include Statistical Methods in Clinical Trials (99 papers), Optimal Experimental Design Methods (45 papers) and Health Systems, Economic Evaluations, Quality of Life (27 papers). John Whitehead is often cited by papers focused on Statistical Methods in Clinical Trials (99 papers), Optimal Experimental Design Methods (45 papers) and Health Systems, Economic Evaluations, Quality of Life (27 papers). John Whitehead collaborates with scholars based in United Kingdom, United States and Switzerland. John Whitehead's co-authors include Anne Whitehead, David Harrington, Nigel Stallard, Irene Stratton, R. J. Prescott, Susan Todd, Thomas Jaki, Farkad Ezzet, David R. Jones and Yinghui Zhou and has published in prestigious journals such as The Lancet, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

John Whitehead

142 papers receiving 4.6k citations

Hit Papers

A general parametric approach to the meta‐analysis of ran... 1991 2026 2002 2014 1991 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Whitehead United Kingdom 33 2.7k 1.2k 906 685 379 147 4.8k
K. K. Gordon Lan United States 24 2.9k 1.1× 1.1k 0.9× 1.0k 1.1× 810 1.2× 238 0.6× 61 5.0k
Lee‐Jen Wei United States 30 2.2k 0.8× 673 0.6× 519 0.6× 282 0.4× 602 1.6× 85 4.6k
John O’Quigley France 37 2.9k 1.1× 1.5k 1.3× 846 0.9× 240 0.4× 585 1.5× 133 5.3k
David L. DeMets United States 30 3.0k 1.1× 1.1k 1.0× 1.3k 1.4× 896 1.3× 894 2.4× 77 13.6k
A. Lawrence Gould United States 35 1.2k 0.4× 370 0.3× 685 0.8× 304 0.4× 399 1.1× 99 5.1k
Scott Berry United States 34 1.4k 0.5× 366 0.3× 927 1.0× 315 0.5× 600 1.6× 144 6.6k
Gernot Wassmer Germany 27 1.1k 0.4× 678 0.6× 353 0.4× 197 0.3× 281 0.7× 80 3.8k
William F. Rosenberger United States 37 2.9k 1.1× 1.7k 1.5× 482 0.5× 281 0.4× 201 0.5× 124 4.2k
Thomas Jaki United Kingdom 29 1.5k 0.5× 579 0.5× 579 0.6× 259 0.4× 243 0.6× 173 2.8k
Alex Dmitrienko United States 27 1.3k 0.5× 528 0.4× 488 0.5× 183 0.3× 304 0.8× 75 2.3k

Countries citing papers authored by John Whitehead

Since Specialization
Citations

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

Fields of papers citing papers by John Whitehead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Whitehead

This figure shows the co-authorship network connecting the top 25 collaborators of John Whitehead. A scholar is included among the top collaborators of John Whitehead 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 John Whitehead. John Whitehead 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.
Papadopoulou, Charalampia, Neil A. Martin, Liza McCann, et al.. (2024). Elicitation of expert prior opinion to design the BARJDM trial in juvenile dermatomyositis. Lara D. Veeken. 63(12). 3271–3278. 3 indexed citations
2.
Dunning, Jake, Stephen B. Kennedy, Annick Antierens, et al.. (2016). Experimental Treatment of Ebola Virus Disease with Brincidofovir. PLoS ONE. 11(9). e0162199–e0162199. 61 indexed citations
3.
Hampson, Lisa V., John Whitehead, Despina Eleftheriou, & Paul Brogan. (2014). Bayesian methods for the design and interpretation of clinical trials in very rare diseases. Statistics in Medicine. 33(24). 4186–4201. 69 indexed citations
4.
Whitehead, John. (2010). Group sequential trials revisited: Simple implementation using SAS. Statistical Methods in Medical Research. 20(6). 635–656. 11 indexed citations
5.
Zhou, Yinghui, John Whitehead, Pasi Korhonen, & Mika Mustonen. (2007). Implementation of a Bayesian Design in a Dose‐Escalation Study of an Experimental Agent in Healthy Volunteers. Biometrics. 64(1). 299–308. 7 indexed citations
6.
Stallard, Nigel, John Whitehead, & Simon Cleall. (2005). Decision-making in a phase II clinical trial: a new approach combining Bayesian and frequentist concepts. Pharmaceutical Statistics. 4(2). 119–128. 25 indexed citations
7.
Baksh, M. Fazil, et al.. (2004). Design considerations in the sequential analysis of matched case–control data. Statistics in Medicine. 24(6). 853–867. 4 indexed citations
8.
Whitehead, John. (2004). Stopping clinical trials by design. Nature Reviews Drug Discovery. 3(11). 973–977. 23 indexed citations
9.
Whitehead, John. (2002). SEQUENTIAL METHODS IN CLINICAL TRIALS*. Sequential Analysis. 21(4). 285–308. 4 indexed citations
10.
Stallard, Nigel, John Whitehead, Susan Todd, & Anne Whitehead. (2001). Stopping rules for phase II studies. British Journal of Clinical Pharmacology. 51(6). 523–529. 26 indexed citations
11.
Lees, Kennedy R., Kjell Asplund, Antonio Carolei, et al.. (2000). Glycine antagonist (gavestinel) in neuroprotection (GAIN International) in patients with acute stroke: a randomised controlled trial. The Lancet. 355(9219). 1949–1954. 242 indexed citations
12.
Griffiths, Gareth, Gregory S. Sibley, G.M. Mead, et al.. (1999). Interferon-alpha and survival in metastatic renal carcinoma: early results of a randomised controlled trial. UCL Discovery (University College London). 16 indexed citations
13.
Whitehead, John & David P. Williamson. (1998). Bayesian decision procedures based on logistic regression models for dose-finding studies. Journal of Biopharmaceutical Statistics. 8(3). 445–467. 74 indexed citations
14.
Whitehead, John. (1996). SEQUENTIAL DESIGNS FOR EQUIVALENCE STUDIES. Statistics in Medicine. 15(24). 2703–2715. 13 indexed citations
15.
Whitehead, John, et al.. (1994). Sample sizes for phase ii clinical trials derived from Bayesian decision theory. Statistics in Medicine. 13(23-24). 2493–2502. 31 indexed citations
16.
Whitehead, John. (1992). Overrunning and underrunning in sequential clinical trials. Controlled Clinical Trials. 13(2). 106–121. 54 indexed citations
17.
Facey, Karen & John Whitehead. (1990). An improved approximation for calculation of confidence intervals after a sequential clinical trial. Statistics in Medicine. 9(11). 1277–1285. 14 indexed citations
18.
Sanders, Jean E., John Whitehead, Rainer Storb, et al.. (1986). Bone Marrow Transplantation Experience for Children With Aplastic Anemia. PEDIATRICS. 77(2). 179–186. 29 indexed citations
19.
Doney, K, Paul J. Martin, Rainer Storb, et al.. (1985). A randomized trial of antihuman thymocyte globulin versus murine monoclonal antihuman T-cell antibodies as immunosuppressive therapy for aplastic anemia.. PubMed. 13(6). 520–4. 30 indexed citations
20.
Whitehead, John. (1983). Comments on Dupont's article sequential stopping rules. Controlled Clinical Trials. 4(3). 259–260. 1 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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