Samuel Cornell

1.6k citations
30 papers · 650 · h-index 9

Impact in

Papers in

Samuel Cornell

27 papers receiving 641 citations

Peers

Samuel Cornell
Comparison fields: 5 of 94
  • Health 209
  • Modeling and Simulation 56
  • General Health Professions 231
  • Clinical Psychology 168
  • Applied Psychology 33
Replace Jennifer Isautier with:
Jennifer Isautier Australia
Carys Batcup Australia
Thomas Dakin Australia
Berkeley Franz United States
Yongda Wu Hong Kong
Jill Darling United States
Merlin Chowkwanyun United States
Lillie D. Williamson United States
Verina Wild Germany
Georgina Singleton United Kingdom
Samuel Cornell relative to Jennifer Isautier Australia Jennifer Isautier's profile →
Citations per field
00.5×1.5×
Jennifer Isautier · 1×
Citations per year

Countries citing papers authored by Samuel Cornell

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Cornell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020187
2 2020157
3 2020125
4 202136
5 202124
6 202121
7 202118
8 202111
9 202110
10 20237
11 20237
12 20235
13 20235
14 20244
15 20214
16 20234
17 20233
18 20253
19 20193
20 20243

About Samuel Cornell

Samuel Cornell is a scholar working on General Health Professions, Sociology and Political Science, Health, Public Health, Environmental and Occupational Health and Social Psychology, having authored 30 papers that have together received 650 indexed citations. Recurring topics across this work include Health Literacy and Information Accessibility (5 papers), Vaccine Coverage and Hesitancy (5 papers), Misinformation and Its Impacts (5 papers), Patient-Provider Communication in Healthcare (4 papers), COVID-19 and Mental Health (4 papers), Impact of Technology on Adolescents (3 papers), Patient Satisfaction in Healthcare (3 papers) and Injury Epidemiology and Prevention (3 papers). The work is most often cited by research in Health (209 citations), Modeling and Simulation (56 citations), General Health Professions (231 citations), Clinical Psychology (168 citations) and Applied Psychology (33 citations). Samuel Cornell has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Carissa Bonner, Erin Cvejic, Brooke Nickel, Tessa Copp, Julie Ayre, Kirsten McCaffery, Rachael H Dodd, Jennifer Isautier, Kristen Pickles and Thomas Dakin. Their work appears in journals such as Health Promotion Journal of Australia, Journal of Medical Internet Research, JMIR Public Health and Surveillance, PLoS ONE and Vaccine.

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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