P. Prescott

4.0k citations
101 papers · 2.9k · h-index 28

Impact in

Papers in

P. Prescott

96 papers receiving 2.6k citations

Peers

P. Prescott
Comparison fields: 5 of 194
  • Statistics and Probability 833
  • Statistics, Probability and Uncertainty 506
  • Complementary and alternative medicine 562
  • Management Science and Operations Research 261
  • Finance 184
Replace Alan Kimber with:
Alan Kimber United Kingdom
Charles Kooperberg United States
David Oakes United States
Gary K. Grunwald United States
Ravi Varadhan United States
Robert Schall South Africa
J. B. Copas United Kingdom
Richard H. Jones United States
A. Lawrence Gould United States
Daniel Commenges France
P. Prescott relative to Alan Kimber United Kingdom Alan Kimber's profile →
Citations per field
00.5×6.3×
Alan Kimber · 1×
Citations per year

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-authors

The 25 scholars most cited alongside P. Prescott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. Prescott Line = papers co-authored together P. Prescott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975322
2 1992297
3 2003179
4 1980178
5 2004132
6 1983101
7 196590
8 201183
9 201080
10 197566
11 201064
12 201561
13 200861
14 200455
15 199153
16 200452
17 200243
18 200839
19 200838
20 199036

About P. Prescott

P. Prescott is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Complementary and alternative medicine, Management Science and Operations Research and Cognitive Neuroscience, having authored 101 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (23 papers), Complementary and Alternative Medicine Studies (17 papers), Advanced Statistical Process Monitoring (14 papers), Optimal Experimental Design Methods (13 papers), Pain Management and Placebo Effect (8 papers), Acupuncture Treatment Research Studies (8 papers), Statistical Methods and Inference (6 papers) and Probabilistic and Robust Engineering Design (5 papers). The work is most often cited by research in Statistics and Probability (833 citations), Statistics, Probability and Uncertainty (506 citations), Complementary and alternative medicine (562 citations), Management Science and Operations Research (261 citations) and Finance (184 citations). P. Prescott has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include George Lewith, Andrew T. Walden, Peter White, N. Balakrishnan, Arthur Cohen, Val Hopwood, Sarah Brien, John W. Tukey, William H. Rogers and Peter J. Bickel. Their work appears in journals such as Biometrika, Journal of the Royal Statistical Society Series C (Applied Statistics), Technometrics, Journal of Statistical Computation and Simulation and International Journal of Clinical Practice.

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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