Robin Featherstone

98 papers receiving 3.6k citations

Peers

Robin Featherstone
Comparison fields: 5 of 167
  • Critical Care and Intensive Care Medicine 279
  • Library and Information Sciences 66
  • Nephrology 256
  • Statistics, Probability and Uncertainty 216
  • Endocrine and Autonomic Systems 113
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Scarlett L. Bellamy United States
Ellen Fineout‐Overholt United States
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Lawrence Mbuagbaw Canada
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Citations per field
00.5×10×16.5×
Scarlett L. Bellamy · 1×
Citations per year

Countries citing papers authored by Robin Featherstone

Since Specialization
Citations

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

Fields of papers citing papers by Robin Featherstone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016240
2 2017230
3 2018226
4 2014218
5 2019205
6 2015166
7 2016155
8 2015145
9 2015107
10 2019100
11 202097
12 201892
13 202084
14 201678
15 201676
16 200871
17 201765
18 201663
19 201961
20 201557

About Robin Featherstone

Robin Featherstone is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Statistics, Probability and Uncertainty, General Health Professions and Pediatrics, Perinatology and Child Health, having authored 105 papers that have together received 3.7k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (9 papers), Acute Kidney Injury Research (6 papers), Healthcare Systems and Technology (5 papers), Neonatal Respiratory Health Research (5 papers), Sepsis Diagnosis and Treatment (4 papers), Social Media in Health Education (4 papers), Pediatric Pain Management Techniques (4 papers) and Infant Development and Preterm Care (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (279 citations), Library and Information Sciences (66 citations), Nephrology (256 citations), Statistics, Probability and Uncertainty (216 citations) and Endocrine and Autonomic Systems (113 citations). Robin Featherstone has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Lisa Hartling, Ben Vandermeer, Megan Nuspl, Donna M Dryden, Sean M. Bagshaw, Meghan Sebastianski, Kassi Shave, Manoj Kumar, Rshmi Khurana and Margie H. Davenport. Their work appears in journals such as BMJ Open, Systematic Reviews, Journal of the Medical Library Association JMLA, Critical Care and Journal of Clinical Epidemiology.

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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