Paul Willis

96 papers receiving 1.2k citations

Peers

Paul Willis
Comparison fields: 5 of 138
  • Gender Studies 203
  • Social Psychology 405
  • Public Administration 62
  • Neuropsychology and Physiological Psychology 22
  • Human Factors and Ergonomics 29
Replace Anna Madill with:
Anna Madill United Kingdom
Steven M. Tipton United States
Sandra L. Faulkner United States
Jenny Hockey United Kingdom
Rich Furman United States
Kate Robson United Kingdom
Frederick J. Wertz United States
Keith Tuffin New Zealand
Brian L. Wilcox United States
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Citations per field
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Citations per year

Countries citing papers authored by Paul Willis

Since Specialization
Citations

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

Fields of papers citing papers by Paul Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198485
2 200167
3 202048
4 201448
5 201746
6 201745
7
Evaluating and improving the measurement of hospital case mix.
198436
8 201236
9 201831
10 201130
11 201630
12 200930
13 201230
14 202029
15 202027
16
History in Person
200727
17 200126
18 201125
19 197825
20 202023

About Paul Willis

Paul Willis is a scholar working on General Health Professions, Social Psychology, Education, Sociology and Political Science and Gender Studies, having authored 108 papers that have together received 1.3k indexed citations. Recurring topics across this work include LGBTQ Health, Identity, and Policy (23 papers), Healthcare innovation and challenges (19 papers), Geriatric Care and Nursing Homes (12 papers), Intergenerational Family Dynamics and Caregiving (9 papers), Social Policy and Reform Studies (8 papers), Health disparities and outcomes (7 papers), Structural Analysis and Optimization (7 papers) and Mental Health and Patient Involvement (6 papers). The work is most often cited by research in Gender Studies (203 citations), Social Psychology (405 citations), Public Administration (62 citations), Neuropsychology and Physiological Psychology (22 citations) and Human Factors and Ergonomics (29 citations). Paul Willis has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Trish Hafford‐Letchfield, Kathryn Almack, Rowland Atkinson, Paul Simpson, Inge Bates, Robert J. Moore, John Clarke, Philip R. Cohen, Dan Finn and Julie Fish. Their work appears in journals such as Health & Social Care in the Community, The British Journal of Social Work, Quality in Ageing and Older Adults, Ageing and Society and Educational Research and Evaluation.

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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