Phillip Good

140 papers receiving 4.1k citations

Phillip Good's Hit Papers

Permutation, Parametric and Bootstrap Tests of Hypotheses 2005 · 535 citations
5350+7+14Years since publication100200300400500

Peers

Phillip Good
Comparison fields: 5 of 212
  • Anesthesiology and Pain Medicine 242
  • Statistics and Probability 339
  • Public Health, Environmental and Occupational Health 676
  • Pediatrics, Perinatology and Child Health 303
  • Clinical Psychology 304
Replace Richard Parker with:
Richard Parker United Kingdom
Joel B. Greenhouse United States
Michael Hills United Kingdom
Werner Vach Germany
Ronald A. Thisted United States
John Ludbrook Australia
Richard M. Royall United States
Alan B. Forsythe United States
Douglas Curran‐Everett United States
Lloyd D. Fisher United States
Phillip Good relative to Richard Parker United Kingdom Richard Parker's profile →
Citations per field
00.5×4.5×
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Citations per year

Countries citing papers authored by Phillip Good

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Phillip Good, 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 Phillip Good Line = papers co-authored together Phillip Good links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Permutation, Parametric and Bootstrap Tests of Hypotheses
Hit paper breakdown →
2005535
2 2000472
3 1994315
4 1995253
5 1994199
6
Resampling Methods
2006100
7 201488
8 201068
9 200066
10 201563
11 200860
12 200857
13 201557
14 201856
15 200053
16 200551
17 201950
18 201450
19 201249
20 201442

About Phillip Good

Phillip Good is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Clinical Psychology, Anesthesiology and Pain Medicine and Pharmacology, having authored 164 papers that have together received 4.3k indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (39 papers), Pain Management and Opioid Use (18 papers), Cannabis and Cannabinoid Research (15 papers), Grief, Bereavement, and Mental Health (15 papers), Childhood Cancer Survivors' Quality of Life (13 papers), Cancer survivorship and care (10 papers), Patient Dignity and Privacy (10 papers) and Pharmacological Effects and Toxicity Studies (8 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (242 citations), Statistics and Probability (339 citations), Public Health, Environmental and Occupational Health (676 citations), Pediatrics, Perinatology and Child Health (303 citations) and Clinical Psychology (304 citations). Phillip Good has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Janet Hardy, Reza Modarres, Alex Broom, Emma Kirby, Peter J. Ravenscroft, John Cavenagh, Julia Wootton, Alison Haywood, Jon Adams and Sue Jenkins‐Marsh. Their work appears in journals such as Cochrane Database of Systematic Reviews, Journal of Pain and Symptom Management, Palliative Medicine, Supportive Care in Cancer and BMJ Supportive & Palliative Care.

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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