Robin Paynter

5.5k citations
58 papers · 1.8k · h-index 23

Impact in

Papers in

Robin Paynter

54 papers receiving 1.7k citations

Peers

Robin Paynter
Comparison fields: 5 of 148
  • Statistics, Probability and Uncertainty 168
  • Pharmacology 279
  • General Health Professions 276
  • Toxicology 40
  • Health 67
Replace Roland Grad with:
Roland Grad Canada
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Tanja Bekhuis United States
Bert Spilker United States
Sandeep Kumar Gupta India
Paul C. Langley United States
Deborah H. Charbonneau United States
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Robin Paynter relative to Roland Grad Canada Roland Grad's profile →
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Countries citing papers authored by Robin Paynter

Since Specialization
Citations

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

Fields of papers citing papers by Robin Paynter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017215
2 2014164
3 2018121
4 2017112
5 2015107
6 2019101
7 201977
8 202169
9 197968
10 201759
11 201557
12
Defining the Benefits of Stakeholder Engagement in Systematic Reviews
201449
13
EPC Methods: An Exploration of Methods and Context for the Production of Rapid Reviews
201549
14 201748
15 201745
16 201441
17 202037
18 202037
19 201833
20 202025

About Robin Paynter

Robin Paynter is a scholar working on General Health Professions, Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (9 papers), Cannabis and Cannabinoid Research (4 papers), Mobile Health and mHealth Applications (3 papers), Opioid Use Disorder Treatment (3 papers), Health Policy Implementation Science (3 papers), Health Sciences Research and Education (3 papers), Blood Pressure and Hypertension Studies (2 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (168 citations), Pharmacology (279 citations), General Health Professions (276 citations), Toxicology (40 citations) and Health (67 citations). Robin Paynter has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jeanne‐Marie Guise, Devan Kansagara, Michele Freeman, Karli Kondo, Makalapua Motu’apuaka, Mark Helfand, Allison Low, Kara Winchell, J Gilbert and Stephanie Veazie. Their work appears in journals such as Annals of Internal Medicine, Cochrane Database of Systematic Reviews, Journal of Clinical Epidemiology, Collection Management and Drug and Alcohol Dependence.

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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