P. Prescott

4.0k total citations
101 papers, 2.9k citations indexed

About

P. Prescott is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Complementary and alternative medicine. According to data from OpenAlex, P. Prescott has authored 101 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 18 papers in Statistics, Probability and Uncertainty and 17 papers in Complementary and alternative medicine. Recurrent topics in P. Prescott's work include Advanced Statistical Methods and Models (23 papers), Complementary and Alternative Medicine Studies (17 papers) and Advanced Statistical Process Monitoring (14 papers). P. Prescott is often cited by papers focused on Advanced Statistical Methods and Models (23 papers), Complementary and Alternative Medicine Studies (17 papers) and Advanced Statistical Process Monitoring (14 papers). P. Prescott collaborates with scholars based in United Kingdom, United States and Greece. P. Prescott's co-authors include George Lewith, Andrew T. Walden, Peter White, N. Balakrishnan, Arthur Cohen, Val Hopwood, Sarah Brien, David Andrews, Peter J. Bickel and Peter J. Huber and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of the American Statistical Association and Annals of Internal Medicine.

In The Last Decade

P. Prescott

96 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Prescott United Kingdom 28 833 562 506 286 261 101 2.9k
Alan Kimber United Kingdom 24 730 0.9× 89 0.2× 390 0.8× 252 0.9× 169 0.6× 73 4.3k
Charles Kooperberg United States 57 1.1k 1.4× 79 0.1× 152 0.3× 68 0.2× 136 0.5× 197 12.9k
David Oakes United States 45 1.7k 2.1× 61 0.1× 148 0.3× 282 1.0× 331 1.3× 129 6.8k
Gary K. Grunwald United States 45 401 0.5× 146 0.3× 56 0.1× 73 0.3× 100 0.4× 167 6.8k
Ravi Varadhan United States 48 635 0.8× 115 0.2× 144 0.3× 119 0.4× 70 0.3× 202 8.9k
J. S. Maritz Australia 26 705 0.8× 141 0.3× 263 0.5× 23 0.1× 100 0.4× 85 2.4k
Helmut Strasser Germany 18 402 0.5× 90 0.2× 77 0.2× 147 0.5× 102 0.4× 119 1.5k
Robert Schall South Africa 26 671 0.8× 211 0.4× 80 0.2× 39 0.1× 211 0.8× 133 3.6k
Richard H. Jones United States 33 617 0.7× 54 0.1× 229 0.5× 161 0.6× 249 1.0× 147 4.5k
Daniel Commenges France 45 1.3k 1.6× 248 0.4× 87 0.2× 507 1.8× 119 0.5× 174 7.5k

Countries citing papers authored by P. Prescott

Since Specialization
Citations

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

Fields of papers citing papers by P. Prescott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Prescott

This figure shows the co-authorship network connecting the top 25 collaborators of P. Prescott. A scholar is included among the top collaborators of P. Prescott 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 P. Prescott. P. Prescott 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.
White, Peter, et al.. (2011). Practice, practitioner, or placebo? A multifactorial, mixed-methods randomized controlled trial of acupuncture. Pain. 153(2). 455–462. 83 indexed citations
2.
Brien, Sarah, Laurie Lachance, P. Prescott, Clare McDermott, & George Lewith. (2010). Homeopathy has clinical benefits in rheumatoid arthritis patients that are attributable to the consultation process but not the homeopathic remedy: a randomized controlled clinical trial. Lara D. Veeken. 50(6). 1070–1082. 80 indexed citations
3.
Bishop, Felicity L., et al.. (2010). Complementary medicine use by men with prostate cancer: a systematic review of prevalence studies. Prostate Cancer and Prostatic Diseases. 14(1). 1–13. 64 indexed citations
4.
Brien, Sarah, et al.. (2008). Systematic review of the nutritional supplements dimethyl sulfoxide (DMSO) and methylsulfonylmethane (MSM) in the treatment of osteoarthritis. Osteoarthritis and Cartilage. 16(11). 1277–1288. 61 indexed citations
5.
Walach, Harald, George Lewith, Johannes Naumann, et al.. (2008). Effectiveness of Distant Healing for Patients with Chronic Fatigue Syndrome: A Randomised Controlled Partially Blinded Trial (EUHEALS). Psychotherapy and Psychosomatics. 77(3). 158–166. 38 indexed citations
6.
White, Peter, George Lewith, & P. Prescott. (2007). Should We Recruit Patients or Healthy Volunteers for Acupuncture Studies of Chronic Pain?. Clinical Journal of Pain. 23(8). 714–719. 10 indexed citations
7.
Lewis, S. M., et al.. (2003). An application of Polya theory to cross-over designs with dropout. ePrints Soton (University of Southampton). 1 indexed citations
8.
Hartill, Mike & P. Prescott. (2003). Research into practice (policy issues for safeguarding children in sport). 45–45. 1 indexed citations
9.
White, Peter, George Lewith, Val Hopwood, & P. Prescott. (2003). The placebo needle, is it a valid and convincing placebo for use in acupuncture trials? A randomised, single-blind, cross-over pilot trial. Pain. 106(3). 401–409. 179 indexed citations
10.
Prescott, P., et al.. (2002). The effect of missing data on Latin square designs. ePrints Soton (University of Southampton).
11.
Caroni, C. & P. Prescott. (2002). Comparison of multivariate outlier detection methods. DSpace - NTUA (National Technical University of Athens). 2 indexed citations
12.
Fahy, T. J., et al.. (2002). Risperidone in chronic schizophrenia: a detailed audit, open switch study and two-year follow-up of patients on depot medication. European Psychiatry. 17(8). 459–465. 8 indexed citations
13.
Prescott, P.. (1999). Construction of sequentially counterbalanced designs formed from two Latin squares.. ePrints Soton (University of Southampton). 7 indexed citations
14.
Prescott, P., et al.. (1996). TESTING FOR ADVERSE REACTIONS USING PRESCRIPTION EVENT MONITORING. Statistics in Medicine. 15(10). 987–1002. 9 indexed citations
15.
Fahy, T. J., et al.. (1996). The Galway Study of Panic Disorder III. The British Journal of Psychiatry. 168(4). 462–469. 35 indexed citations
16.
Caroni, C. & P. Prescott. (1995). Union-Intersection testing for outliers in multivariate normal data. Journal of Statistical Computation and Simulation. 51(2-4). 185–196. 2 indexed citations
17.
Caroni, C. & P. Prescott. (1995). On Rohlf′s Method for the Detection of Outliers in Multivariate Data. Journal of Multivariate Analysis. 52(2). 295–307. 10 indexed citations
18.
Prescott, P.. (1994). Cost-Effective Primary Care Providers: An Important Component of Health Care Reform. International Journal of Technology Assessment in Health Care. 10(2). 249–257. 15 indexed citations
19.
SIDDLE, N. C., et al.. (1990). Effect on plasma lipids and lipoproteins of postmenopausal oestrogen therapy with added dydrogesterone. BJOG An International Journal of Obstetrics & Gynaecology. 97(12). 1093–1100. 36 indexed citations
20.
Prescott, P., et al.. (1987). Truncated and Censored Samples from Normal Populations.. Journal of the Royal Statistical Society Series A (General). 150(4). 403–403. 20 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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