Paul Kind

26.8k total citations · 8 hit papers
146 papers, 17.9k citations indexed

About

Paul Kind is a scholar working on Economics and Econometrics, General Health Professions and Health. According to data from OpenAlex, Paul Kind has authored 146 papers receiving a total of 17.9k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Economics and Econometrics, 61 papers in General Health Professions and 13 papers in Health. Recurrent topics in Paul Kind's work include Health Systems, Economic Evaluations, Quality of Life (99 papers), Healthcare Policy and Management (32 papers) and Global Health Care Issues (30 papers). Paul Kind is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (99 papers), Healthcare Policy and Management (32 papers) and Global Health Care Issues (30 papers). Paul Kind collaborates with scholars based in United Kingdom, Netherlands and United States. Paul Kind's co-authors include Claire Gudex, Xavier Badı́a, Michael Herdman, Andrew Lloyd, Gouke J. Bonsel, David Parkin, M.H.M. Janssen, Paul Dolan, Alan Williams and L Scalone and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Social Science & Medicine.

In The Last Decade

Paul Kind

140 papers receiving 17.4k citations

Hit Papers

Development and preliminary testing of... 1993 2026 2004 2015 2011 2012 1998 1997 1993 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Kind United Kingdom 48 6.9k 4.4k 2.5k 1.8k 1.7k 146 17.9k
Xavier Badı́a Spain 50 3.7k 0.5× 2.9k 0.7× 2.4k 1.0× 1.9k 1.1× 1.8k 1.0× 189 16.3k
Gouke J. Bonsel Netherlands 60 4.1k 0.6× 3.6k 0.8× 2.7k 1.1× 2.3k 1.2× 1.5k 0.9× 296 21.0k
Jan J.V. Busschbach Netherlands 55 4.5k 0.6× 2.7k 0.6× 2.4k 1.0× 1.4k 0.8× 1.9k 1.1× 364 15.3k
Andrew Lloyd United Kingdom 37 4.3k 0.6× 2.5k 0.6× 1.7k 0.7× 1.4k 0.8× 1.3k 0.7× 175 13.2k
Claire Gudex Denmark 26 3.6k 0.5× 2.6k 0.6× 1.7k 0.7× 1.3k 0.7× 1.2k 0.7× 71 11.5k
Michael Herdman United Kingdom 28 3.4k 0.5× 2.6k 0.6× 1.4k 0.6× 1.2k 0.7× 1.3k 0.8× 60 11.7k
David Torgerson United Kingdom 70 2.7k 0.4× 2.8k 0.6× 3.5k 1.4× 2.1k 1.2× 1.3k 0.8× 424 19.3k
Colleen A. McHorney United States 48 2.5k 0.4× 4.2k 1.0× 3.5k 1.4× 2.2k 1.2× 3.1k 1.8× 109 21.1k
Barbara Gandek United States 48 2.0k 0.3× 3.7k 0.8× 2.6k 1.1× 2.3k 1.3× 2.5k 1.5× 70 17.8k
Robert H. Brook United States 74 8.4k 1.2× 10.3k 2.3× 3.0k 1.2× 2.1k 1.2× 1.8k 1.1× 493 26.4k

Countries citing papers authored by Paul Kind

Since Specialization
Citations

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

Fields of papers citing papers by Paul Kind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Kind

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Kind. A scholar is included among the top collaborators of Paul Kind 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 Paul Kind. Paul Kind 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.
O’Dwyer, John, Louise Bryant, Claire Hulme, Paul Kind, & David Meads. (2024). Adapting the EQ-5D-3L for adults with mild to moderate learning disabilities. Health and Quality of Life Outcomes. 22(1). 37–37. 2 indexed citations
2.
Verstraete, Janine, et al.. (2024). Transitioning between the EQ-5D youth and adult descriptive systems in a group of adolescents. Journal of Patient-Reported Outcomes. 8(1). 93–93. 1 indexed citations
3.
Webb, Edward, Paul Kind, David Meads, & Adam Martin. (2023). COVID-19 and EQ-5D-5L health state valuation. The European Journal of Health Economics. 25(1). 117–145. 2 indexed citations
4.
Webb, Edward, Paul Kind, David Meads, & Adam Martin. (2021). Does a health crisis change how we value health?. Health Economics. 30(10). 2547–2560. 17 indexed citations
5.
Mao, Zhuxin, Shenaz Ahmed, Christopher D. Graham, & Paul Kind. (2021). The Unfolding Method to Explore Health-Related Quality of Life Constructs in a Chinese General Population. Value in Health. 24(6). 846–854. 6 indexed citations
6.
Webb, Edward, John O’Dwyer, David Meads, Paul Kind, & Penny Wright. (2020). Transforming discrete choice experiment latent scale values for EQ-5D-3L using the visual analogue scale. The European Journal of Health Economics. 21(5). 787–800. 17 indexed citations
7.
Webb, Edward, David Meads, Hareth Al‐Janabi, et al.. (2020). UK General Population Utility Values for the SIDECAR-D Instrument Measuring the Impact of Caring for People With Dementia. Value in Health. 23(8). 1079–1086.
8.
Horton, Mike, Jan R. Oyebode, Linda Clare, et al.. (2019). Measuring Quality of Life in Carers of People With Dementia: Development and Psychometric Evaluation of Scales measuring the Impact of DEmentia on CARers (SIDECAR). The Gerontologist. 61(3). e1–e11. 14 indexed citations
9.
Stolk, Elly, et al.. (2016). Toward Explicit Prioritization for the Caribbean: An EQ-5D Value Set for Trinidad and Tobago. Value in Health Regional Issues. 11. 60–67. 15 indexed citations
10.
Kind, Paul, et al.. (2015). Comparison of Social Eq-5d Time Trade-Off Values In Chile 2008-2013: Do Geographical Differences Really Matter?. Value in Health. 18(7). A811–A812. 1 indexed citations
11.
Walsh, Cathal, et al.. (2015). Results of the Eq-5d-3l Valuation Project for Ireland. Value in Health. 18(7). A740–A740. 1 indexed citations
12.
Andrade, Mônica Viégas, et al.. (2013). Societal Preferences for EQ-5D Health States from a Brazilian Population Survey. Value in Health Regional Issues. 2(3). 405–412. 43 indexed citations
13.
Herdman, Michael, Claire Gudex, Andrew Lloyd, et al.. (2011). Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Quality of Life Research. 20(10). 1727–1736. 6138 indexed citations breakdown →
14.
Kind, Paul, et al.. (2011). Social Valuation of EQ-5D Health States: The Chilean Case. Value in Health. 14(8). 1135–1141. 58 indexed citations
15.
Kind, Paul, et al.. (2011). PRM30 RESULTS FROM A NEW VISUAL ANALOGUE SCALE PROTOCOL FOR EQ-5D VALUATIONS. Value in Health. 14(3). A151–A151. 1 indexed citations
16.
Sun, Sun, Jiaying Chen, Magnus Johannesson, et al.. (2010). Population health status in China: EQ-5D results, by age, sex and socio-economic status, from the National Health Services Survey 2008. Quality of Life Research. 20(3). 309–320. 190 indexed citations
17.
Drummond, Michael, Diana Brixner, Marthe R. Gold, et al.. (2009). Toward a Consensus on the QALY. Value in Health. 12. S31–S35. 92 indexed citations
18.
Sapin, Christophe, et al.. (2004). Usefulness of EQ-5D in assessing health status in primary care patients with major depressive disorder.. Health and Quality of Life Outcomes. 2(1). 20–20. 128 indexed citations
19.
Gudex, Claire, Paul Dolan, Paul Kind, & Alan Williams. (1996). Health state valuations from the general public using the Visual Analogue Scale. Quality of Life Research. 5(6). 521–531. 217 indexed citations
20.
Kind, Paul & Claire Gudex. (1994). Measuring health status in the community: a comparison of methods.. Journal of Epidemiology & Community Health. 48(1). 86–91. 47 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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