Carol Propper

14.6k total citations · 1 hit paper
202 papers, 7.5k citations indexed

About

Carol Propper is a scholar working on Economics and Econometrics, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Carol Propper has authored 202 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Economics and Econometrics, 93 papers in General Health Professions and 40 papers in Sociology and Political Science. Recurrent topics in Carol Propper's work include Healthcare Policy and Management (69 papers), Global Health Care Issues (67 papers) and Gender, Labor, and Family Dynamics (23 papers). Carol Propper is often cited by papers focused on Healthcare Policy and Management (69 papers), Global Health Care Issues (67 papers) and Gender, Labor, and Family Dynamics (23 papers). Carol Propper collaborates with scholars based in United Kingdom, United States and Australia. Carol Propper's co-authors include Simon Burgess, Martin Gaynor, Michael A. Shields, John Van Reenen, Stephan Seiler, Katherine Green, David Johnston, Ron Johnston, Rodrigo Moreno‐Serra and Kelvyn Jones and has published in prestigious journals such as American Economic Review, Management Science and Journal of Political Economy.

In The Last Decade

Carol Propper

194 papers receiving 6.8k citations

Hit Papers

The Impact of Competition on Management Quality: Evidence... 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carol Propper United Kingdom 48 3.5k 3.1k 1.4k 1.0k 725 202 7.5k
Wim Groot Netherlands 47 3.3k 0.9× 2.8k 0.9× 1.5k 1.1× 754 0.7× 1.2k 1.6× 387 9.0k
Victor R. Fuchs United States 46 3.3k 1.0× 3.5k 1.1× 1.4k 1.0× 778 0.8× 423 0.6× 187 7.9k
Jeffrey R. Kling United States 30 2.3k 0.7× 2.2k 0.7× 4.3k 3.0× 1.3k 1.3× 456 0.6× 50 7.7k
Douglas O. Staiger United States 54 3.5k 1.0× 5.0k 1.6× 1.7k 1.2× 366 0.4× 939 1.3× 143 13.5k
Julian Le Grand United Kingdom 40 2.6k 0.7× 2.8k 0.9× 1.5k 1.1× 532 0.5× 1.0k 1.4× 173 7.3k
Mark Wooden Australia 38 2.4k 0.7× 1.4k 0.5× 2.0k 1.4× 894 0.9× 319 0.4× 273 5.7k
Christina Paxson United States 43 2.8k 0.8× 2.1k 0.7× 2.5k 1.8× 1.5k 1.5× 272 0.4× 76 8.6k
John Bound United States 47 3.7k 1.1× 6.5k 2.1× 3.5k 2.5× 2.0k 2.0× 539 0.7× 119 14.2k
Marco Caliendo Germany 34 1.6k 0.4× 4.0k 1.3× 1.7k 1.2× 249 0.2× 402 0.6× 173 8.8k
Jishnu Das United States 44 1.6k 0.5× 1.4k 0.5× 878 0.6× 380 0.4× 1.2k 1.6× 141 6.0k

Countries citing papers authored by Carol Propper

Since Specialization
Citations

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

Fields of papers citing papers by Carol Propper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Propper

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Propper. A scholar is included among the top collaborators of Carol Propper based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carol Propper. Carol Propper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barrenho, Eliana, et al.. (2025). Innovation Diffusion Among Coworkers: Evidence from Senior Doctors. Management Science. 71(10). 8109–8126.
2.
Janke, Katharina, Kevin Lee, Carol Propper, Kalvinder Shields, & Michael A. Shields. (2023). Economic conditions and health: Local effects, national effect and local area heterogeneity. Journal of Economic Behavior & Organization. 214. 801–828. 3 indexed citations
3.
Barrenho, Eliana, Marisa Miraldo, Carol Propper, & Brendan M. Walsh. (2021). The importance of surgeons and their peers in adoption and diffusion of innovation: An observational study of laparoscopic colectomy adoption and diffusion in England. Social Science & Medicine. 272. 113715–113715. 11 indexed citations
4.
Gravelle, Hugh, Dan Liu, Carol Propper, & Rita Santos. (2019). Spatial competition and quality: Evidence from the English family doctor market. Journal of Health Economics. 68. 102249–102249. 21 indexed citations
5.
Gaynor, Martin, Rodrigo Moreno‐Serra, & Carol Propper. (2013). Death by Market Power: Reform, Competition, and Patient Outcomes in the National Health Service. American Economic Journal Economic Policy. 5(4). 134–166. 55 indexed citations
6.
Washbrook, Elizabeth, Paul Gregg, & Carol Propper. (2013). A decomposition analysis of the relationship between parental income and multiple child outcomes. RePEc: Research Papers in Economics. 2 indexed citations
7.
Atkinson, Adèle, et al.. (2008). The Impact of Classroom Peer Groups on Pupil GCSE Results. Bristol Research (University of Bristol). 15 indexed citations
8.
Janke, Katharina, et al.. (2007). Are Current Levels of Air Pollution in England Too High? The Impact of Pollution on Population Mortality. SSRN Electronic Journal. 1 indexed citations
9.
Burgess, Simon, Carol Propper, & Deborah Wilson. (2005). Extending Choice In English Health Care: The implications of the economic evidence. SSRN Electronic Journal. 20 indexed citations
10.
Johnston, Ron, Kelvyn Jones, Simon Burgess, et al.. (2004). Scale, Factor Analyses, and Neighborhood Effects. Geographical Analysis. 36(4). 350–368. 35 indexed citations
11.
Johnston, Ron, Kelvyn Jones, Simon Burgess, et al.. (2004). Scale, Factor Analyses, and Neighborhood Effects. Geographical Analysis. 36(4). 350–368. 40 indexed citations
12.
Dixon, Jennifer, et al.. (2004). Mapping choice in the NHS: Analysis of routine data. Bristol Research (University of Bristol). 1 indexed citations
13.
Burgess, Simon, et al.. (2003). Incentives in the Public Sector: Some Preliminary Evidence from a UK Government Agency. SSRN Electronic Journal. 3 indexed citations
14.
Burgess, Simon, Karen Gardiner, & Carol Propper. (2002). The Economic Determinants of Truancy. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 4 indexed citations
15.
Propper, Carol. (2001). Expenditure on health care in the UK: A Review. Fiscal Studies. 151–184. 2 indexed citations
16.
Gardiner, Karen, Stephen P. Jenkins, & Carol Propper. (2000). Measuring Income Risk. SSRN Electronic Journal.
17.
Grout, Paul A., et al.. (2000). Benchmarking and Incentives in the NHS. OpenGrey (Institut de l'Information Scientifique et Technique). 8 indexed citations
18.
Propper, Carol. (1998). An Economic Model of Household Income Dynamics, with an Application to Poverty Dynamics among American Women. SSRN Electronic Journal. 5 indexed citations
19.
Propper, Carol. (1995). The disutility of time spent on NHS waiting lists. Explore Bristol Research. 6 indexed citations
20.
O’Donnell, Owen & Carol Propper. (1991). Reply: Equity and the Delivery of UK NHS Resources. Journal of Health Economics. 10. 247–249. 4 indexed citations

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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