Stephen Pudney

3.7k total citations
95 papers, 2.0k citations indexed

About

Stephen Pudney is a scholar working on Economics and Econometrics, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Stephen Pudney has authored 95 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Economics and Econometrics, 39 papers in Sociology and Political Science and 34 papers in General Health Professions. Recurrent topics in Stephen Pudney's work include Global Health Care Issues (15 papers), Gender, Labor, and Family Dynamics (15 papers) and Health disparities and outcomes (14 papers). Stephen Pudney is often cited by papers focused on Global Health Care Issues (15 papers), Gender, Labor, and Family Dynamics (15 papers) and Health disparities and outcomes (14 papers). Stephen Pudney collaborates with scholars based in United Kingdom, Italy and Australia. Stephen Pudney's co-authors include Mónica Hernández Alava, Michael A. Shields, Man‐Yee Kan, Allan Wailoo, Ruth Hancock, Ziggy MacDonald, Gabriella Conti, Apostolos Davillas, Holly Sutherland and Marcello Morciano and has published in prestigious journals such as Journal of the American Statistical Association, Social Science & Medicine and The Economic Journal.

In The Last Decade

Stephen Pudney

91 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Pudney United Kingdom 27 845 572 557 309 255 95 2.0k
John Strauss United States 16 579 0.7× 726 1.3× 849 1.5× 228 0.7× 570 2.2× 37 2.9k
Donald Kenkel United States 28 1.1k 1.2× 532 0.9× 968 1.7× 257 0.8× 524 2.1× 73 3.2k
Bernadette D. Proctor 9 602 0.7× 826 1.4× 991 1.8× 278 0.9× 348 1.4× 9 3.0k
William N. Evans United States 24 700 0.8× 706 1.2× 385 0.7× 184 0.6× 254 1.0× 115 3.0k
Brendan Burchell United Kingdom 26 392 0.5× 680 1.2× 945 1.7× 196 0.6× 78 0.3× 71 2.2k
Mary C. Daly United States 26 1.0k 1.2× 593 1.0× 1.1k 2.0× 249 0.8× 622 2.4× 149 2.8k
Nicholas Turner United States 13 751 0.9× 654 1.1× 1.0k 1.8× 216 0.7× 753 3.0× 25 2.6k
Jacques van der Gaag United States 22 770 0.9× 580 1.0× 544 1.0× 230 0.7× 100 0.4× 50 2.2k
Mark Stabile Canada 21 585 0.7× 702 1.2× 1.2k 2.1× 397 1.3× 531 2.1× 57 2.5k
Richard T. Curtin United States 17 567 0.7× 1.0k 1.8× 325 0.6× 96 0.3× 216 0.8× 37 2.4k

Countries citing papers authored by Stephen Pudney

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Pudney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Pudney

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Pudney. A scholar is included among the top collaborators of Stephen Pudney 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 Stephen Pudney. Stephen Pudney 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.
Alava, Mónica Hernández, Stephen Pudney, & Allan Wailoo. (2023). Does EQ-5D Tell the Whole Story? Statistical Methods for Comparing the Thematic Coverage of Clinical and Generic Outcome Measures, With Application to Breast Cancer. Value in Health. 26(9). 1398–1404. 2 indexed citations
2.
Alava, Mónica Hernández, Stephen Pudney, & Allan Wailoo. (2022). Estimating the Relationship Between EQ-5D-5L and EQ-5D-3L: Results from a UK Population Study. PharmacoEconomics. 41(2). 199–207. 86 indexed citations
3.
Wailoo, Allan, Mónica Hernández Alava, Stephen Pudney, et al.. (2021). An International Comparison of EQ-5D-5L and EQ-5D-3L for Use in Cost-Effectiveness Analysis. Value in Health. 24(4). 568–574. 18 indexed citations
4.
Davillas, Apostolos & Stephen Pudney. (2020). Using biomarkers to predict healthcare costs: Evidence from a UK household panel. Journal of Health Economics. 73. 102356–102356. 11 indexed citations
5.
Davillas, Apostolos & Stephen Pudney. (2020). Biomarkers, disability and health care demand. Economics & Human Biology. 39. 100929–100929. 6 indexed citations
6.
Alava, Mónica Hernández, Stephen Pudney, & Allan Wailoo. (2020). The EQ-5D-5L Value Set for England: Findings of a Quality Assurance Program. Value in Health. 23(5). 642–648. 38 indexed citations
7.
Davillas, Apostolos & Stephen Pudney. (2019). Biomarkers as precursors of disability. Economics & Human Biology. 36. 100814–100814. 11 indexed citations
8.
Pennington, Becky, Mónica Hernández Alava, Stephen Pudney, & Allan Wailoo. (2018). The Impact of Moving from EQ-5D-3L to -5L in NICE Technology Appraisals. PharmacoEconomics. 37(1). 75–84. 21 indexed citations
9.
Alava, Mónica Hernández & Stephen Pudney. (2017). Econometric modelling of multiple self-reports of health states: The switch from EQ-5D-3L to EQ-5D-5L in evaluating drug therapies for rheumatoid arthritis. Journal of Health Economics. 55. 139–152. 43 indexed citations
10.
Alava, Mónica Hernández, Allan Wailoo, Sabine Grimm, et al.. (2017). EQ-5D-5L versus EQ-5D-3L: The Impact on Cost Effectiveness in the United Kingdom. Value in Health. 21(1). 49–56. 72 indexed citations
11.
Conti, Gabriella, Andrea Galeotti, Gerrit Müller, & Stephen Pudney. (2013). Popularity. The Journal of Human Resources. 48(4). 1072–1094. 3 indexed citations
12.
Taylor, Mark P., et al.. (2012). Can improving UK skills levels reduce poverty and income inequality by 2020. Figshare. 5 indexed citations
13.
Pudney, Stephen, Francesca Zantomio, Ruth Hancock, & Marcello Morciano. (2010). Memorandum by the Universities of Essex and East Anglia (SC52) in House of Commons Health Committee Social Care Third Report of Session 2009–10 Volume II Oral and written evidence. UEA Digital Repository (University of East Anglia). 1 indexed citations
14.
Pudney, Stephen. (2002). The road to ruin? Sequences of initiation into drug use and offending by young people in Britain.. HRB National Drugs Library (Health Research Board). 44 indexed citations
15.
Pudney, Stephen & Michael A. Shields. (2000). Gender and Racial Discrimination in Pay and Promotion for NHS Nurses. Oxford Bulletin of Economics and Statistics. 62(s1). 801–835. 29 indexed citations
16.
Pudney, Stephen, et al.. (1999). On the Impact of Anti-Discrimination Legislation.. Figshare. 1 indexed citations
17.
Mealli, Fabrizia & Stephen Pudney. (1999). Specification Tests for Random-effects Transition Models: An Application to a Model of the British Youth Training Scheme. Lifetime Data Analysis. 5(3). 213–237. 3 indexed citations
18.
Pudney, Stephen & Michael A. Shields. (1999). Gender and Racial Discrimination in Pay and Promotion for NHS Nurses. SSRN Electronic Journal. 6 indexed citations
19.
Mealli, Fabrizia & Stephen Pudney. (1996). Occupational pensions and job mobility in Britain: Estimation of a random‐effects competing risks model. Journal of Applied Econometrics. 11(3). 293–320. 3 indexed citations
20.
Pudney, Stephen. (1988). Estimating engel curves: a generalisation of the P-Tobit model. RePEc: Research Papers in Economics. 1(2). 129–147. 5 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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