Henry Potts

160 papers receiving 6.3k citations

Henry Potts's Hit Papers

Supporting thinking on sample sizes for thematic analyses: a quantitative tool 2015 · 469 citations
4690+5+11Years since publication4008001.2k

Peers

Henry Potts
Comparison fields: 5 of 189
  • Applied Psychology 501
  • Health Information Management 392
  • General Health Professions 978
  • Human-Computer Interaction 181
  • Medical Terminology 7
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Countries citing papers authored by Henry Potts

Since Specialization
Citations

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

Fields of papers citing papers by Henry Potts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How are habits formed: Modelling habit formation in the real world
Hit paper breakdown →
20091200
2
Supporting thinking on sample sizes for thematic analyses: a quantitative tool
Hit paper breakdown →
2015469
3
Tensions and Paradoxes in Electronic Patient Record Research: A Systematic Literature Review Using the Meta‐narrative Method
Hit paper breakdown →
2009338
4 2011221
5 2017187
6 2010167
7 2015158
8 2020157
9 2005142
10 2002141
11 2021133
12 2008114
13 2003108
14 2014101
15 200678
16 200671
17 201271
18 201170
19 200765
20 201065

About Henry Potts

Henry Potts is a scholar working on General Health Professions, Sociology and Political Science, Oncology, Clinical Psychology and Public Health, Environmental and Occupational Health, having authored 170 papers that have together received 6.5k indexed citations. Recurring topics across this work include Electronic Health Records Systems (10 papers), Cancer survivorship and care (8 papers), COVID-19 and Mental Health (8 papers), Medical Education and Admissions (6 papers), Mobile Health and mHealth Applications (5 papers), Physical Activity and Health (5 papers), COVID-19 epidemiological studies (5 papers) and Innovations in Medical Education (5 papers). The work is most often cited by research in Applied Psychology (501 citations), Health Information Management (392 citations), General Health Professions (978 citations), Human-Computer Interaction (181 citations) and Medical Terminology (7 citations). Henry Potts has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Jane Wardle, Phillippa Lally, Cornelia H.M. van Jaarsveld, Andrew J.B. Fugard, Katherine Woolf, I. C. McManus, Abigail Fisher, Trisha Greenhalgh, Pippa Bark and G. James Rubin. Their work appears in journals such as Journal of Medical Internet Research, BMJ Open, BMC Medical Education, BMC Health Services Research and Public Health.

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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