World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
36
Citations
3891
World Ranking
2840
National Ranking
334

Stephen Pudney publication distribution in Economics and Finance in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Economics and Finance in 2026. The highlighted bar marks where Stephen Pudney sits on this spectrum.

42–46 publications: 1 scientists 47–51 publications: 12 scientists 52–56 publications: 7 scientists 57–61 publications: 23 scientists 62–66 publications: 32 scientists 67–71 publications: 36 scientists 72–76 publications: 56 scientists 77–81 publications: 57 scientists 82–86 publications: 70 scientists 87–91 publications: 86 scientists 92–96 publications: 72 scientists 97–101 publications: 106 scientists 102–106 publications: 97 scientists 107–111 publications: 96 scientists 112–116 publications: 101 scientists 117–121 publications: 103 scientists 122–126 publications: 102 scientists 127–131 publications: 108 scientists 132–136 publications: 107 scientists 137–141 publications: 111 scientists 142–146 publications: 94 scientists 147–151 publications: 96 scientists 152–156 publications: 100 scientists 157–161 publications: 74 scientists 162–166 publications: 68 scientists 167–171 publications: 91 scientists 172–176 publications: 76 scientists 177–181 publications: 75 scientists 182–186 publications: 61 scientists 187–191 publications: 66 scientists 192–196 publications: 68 scientists 197–201 publications: 71 scientists 202–206 publications: 60 scientists 207–211 publications: 56 scientists 212–216 publications: 44 scientists 217–221 publications: 51 scientists 222–226 publications: 65 scientists 227–231 publications: 48 scientists 232–236 publications: 59 scientists 237–241 publications: 37 scientists 242–246 publications: 37 scientists 247–251 publications: 41 scientists 252–256 publications: 43 scientists 257–261 publications: 33 scientists 262–266 publications: 34 scientists 267–271 publications: 39 scientists 272–276 publications: 25 scientists 277–281 publications: 29 scientists 282–286 publications: 29 scientists 287–291 publications: 26 scientists 292–296 publications: 31 scientists 297–301 publications: 31 scientists 302–306 publications: 24 scientists 307–311 publications: 28 scientists 312–316 publications: 24 scientists 317–321 publications: 13 scientists 322–326 publications: 14 scientists 327–331 publications: 25 scientists 332–336 publications: 18 scientists 337–341 publications: 16 scientists 342–346 publications: 18 scientists 347–351 publications: 15 scientists 352–356 publications: 17 scientists 357–361 publications: 19 scientists 362–366 publications: 16 scientists 367–371 publications: 17 scientists 372–376 publications: 7 scientists 377–381 publications: 18 scientists 382–386 publications: 13 scientists 387–391 publications: 19 scientists 392–396 publications: 9 scientists 397–401 publications: 10 scientists 402–406 publications: 13 scientists 407–411 publications: 13 scientists 412–416 publications: 5 scientists 417–421 publications: 10 scientists 422–426 publications: 6 scientists 427–431 publications: 12 scientists 432–436 publications: 9 scientists 437–441 publications: 9 scientists 442–446 publications: 10 scientists 447–451 publications: 12 scientists 452–456 publications: 8 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 4 scientists 472–476 publications: 5 scientists 477–481 publications: 6 scientists 482–486 publications: 7 scientists 487–491 publications: 8 scientists 492–496 publications: 5 scientists 497–501 publications: 4 scientists 502–506 publications: 4 scientists 507–511 publications: 5 scientists 512–516 publications: 7 scientists 517–520 publications: 7 scientists 521+ publications: 99 scientists
42 publications 521+

This scientist: 157 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 521 publications or more.

Stephen Pudney D-index placement in Economics and Finance in 2026

The chart shows the D-index (discipline H-index) distribution of Economics and Finance scientists ranked by Research.com in 2026. The highlighted bar marks where Stephen Pudney sits on this spectrum.

30 D-Index: 126 scientists 31 D-Index: 147 scientists 32 D-Index: 157 scientists 33 D-Index: 178 scientists 34 D-Index: 171 scientists 35 D-Index: 141 scientists 36 D-Index: 132 scientists 37 D-Index: 129 scientists 38 D-Index: 130 scientists 39 D-Index: 120 scientists 40 D-Index: 117 scientists 41 D-Index: 113 scientists 42 D-Index: 114 scientists 43 D-Index: 97 scientists 44 D-Index: 115 scientists 45 D-Index: 86 scientists 46 D-Index: 78 scientists 47 D-Index: 83 scientists 48 D-Index: 62 scientists 49 D-Index: 74 scientists 50 D-Index: 50 scientists 51 D-Index: 66 scientists 52 D-Index: 69 scientists 53 D-Index: 55 scientists 54 D-Index: 67 scientists 55 D-Index: 61 scientists 56 D-Index: 62 scientists 57 D-Index: 45 scientists 58 D-Index: 34 scientists 59 D-Index: 47 scientists 60 D-Index: 46 scientists 61 D-Index: 36 scientists 62 D-Index: 37 scientists 63 D-Index: 56 scientists 64 D-Index: 50 scientists 65 D-Index: 32 scientists 66 D-Index: 28 scientists 67 D-Index: 30 scientists 68 D-Index: 24 scientists 69 D-Index: 25 scientists 70 D-Index: 22 scientists 71 D-Index: 21 scientists 72 D-Index: 26 scientists 73 D-Index: 24 scientists 74 D-Index: 23 scientists 75 D-Index: 12 scientists 76 D-Index: 14 scientists 77 D-Index: 15 scientists 78 D-Index: 15 scientists 79 D-Index: 17 scientists 80 D-Index: 17 scientists 81 D-Index: 11 scientists 82 D-Index: 10 scientists 83 D-Index: 16 scientists 84 D-Index: 11 scientists 85 D-Index: 5 scientists 86 D-Index: 9 scientists 87 D-Index: 13 scientists 88 D-Index: 9 scientists 89 D-Index: 7 scientists 90 D-Index: 6 scientists 91 D-Index: 4 scientists 92 D-Index: 8 scientists 93 D-Index: 10 scientists 94 D-Index: 11 scientists 95 D-Index: 6 scientists 96 D-Index: 4 scientists 97 D-Index: 4 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100 D-Index: 8 scientists 101+ D-Index: 100 scientists
30 D-Index 101+

This scientist: 36 D-Index — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 101 D-Index or more.

Overview

Stephen Pudney is affiliated with the University of Sheffield in the United Kingdom. Their research primarily spans the fields of Economics, Econometrics and Finance, as well as Health Professions, with a total of 17 and 9 publications respectively in these areas. More specifically, their work concentrates on subfields such as Economics and Econometrics, General Health Professions, Sociology and Political Science, Health, and Finance.

The main topics of Stephen Pudney's research include:

  • Health Systems, Economic Evaluations, Quality of Life
  • Global Health Care Issues
  • Delphi Technique in Research
  • Health disparities and outcomes
  • Healthcare Policy and Management
  • Economic and Environmental Valuation
  • Housing, Finance, and Neoliberalism

Stephen Pudney has contributed to several peer-reviewed papers, often collaborating with frequent co-authors. Those collaborators include Mónica Hernández Alava, Allan Wailoo, Claryn S. J. Kung, Apostolos Davillas, and Ferran Espuny Pujol.

Representative recent papers authored or co-authored by Stephen Pudney include:

  • Estimating the Relationship Between EQ-5D-5L and EQ-5D-3L: Results from a UK Population Study (2022), published in PharmacoEconomics
  • Economic gradients in loneliness, social isolation and social support: Evidence from the UK Biobank (2022), published in Social Science & Medicine
  • The EQ-5D-5L Value Set for England: Findings of a Quality Assurance Program (2020), published in Value in Health
  • Mapping clinical outcomes to generic preference-based outcome measures: development and comparison of methods (2020), published in Health Technology Assessment
  • An International Comparison of EQ-5D-5L and EQ-5D-3L for Use in Cost-Effectiveness Analysis (2021), published in Value in Health

Their research has appeared frequently in recognized publication venues, including:

  • Value in Health
  • Health Economics
  • PharmacoEconomics
  • Social Science & Medicine
  • Health Technology Assessment

Best Publications

  • Modelling Individual Choice: The Econometrics of Corners, Kinks, and Holes

    Stephen Pudney

  • 2. Measurement Error in Stylized and Diary Data on Time Use

    Man Yee Kan;Stephen Pudney

  • Gender, race, pay and promotion in the British nursing profession: estimation of a generalized ordered probit model

    Stephen Pudney;Michael Shields

  • Survey Design and the Analysis of Satisfaction

    Gabriella Conti;Stephen Pudney

  • Illicit drug use, unemployment, and occupational attainment

    Ziggy MacDonald;Stephen Pudney

  • An Empirical Method of Approximating the Separable Structure of Consumer Preferences

    S. E. Pudney

  • A model of female labour supply in the presence of hours restrictions

    Seija Ilmakunnas;Stephen Pudney

  • EQ-5D-5L versus EQ-5D-3L: The Impact on Cost Effectiveness in the United Kingdom

    Monica Hernandez Alava;Allan Wailoo;Sabine Grimm;Stephen Pudney

  • The Road to Ruin? Sequences of Initiation to Drugs and Crime in Britain*

    Stephen Pudney

  • Disability Costs and Equivalence Scales in the Older Population in Great Britain

    Marcello Morciano;Ruth Hancock;Stephen Pudney

  • The welfare cost of means‐testing: pensioner participation in income support

    Monica Hernandez;Stephen Pudney;Ruth Hancock

  • Occupational pensions and job mobility in Britain: Estimation of a random‐effects competing risks model

    Fabrizia Mealli;Stephen Pudney

  • How reliable are microsimulation results?: An analysis of the role of sampling error in a U.K. tax-benefit model

    Stephen Pudney;Holly Sutherland

  • Drugs policy: what should we do about cannabis?

    Stephen Pudney

  • The road to ruin? Sequences of initiation into drug use and offending by young people in Britain.

    Stephen Pudney

  • Simulating the Reform of Means-tested Benefits with Endogenous Take-up and Claim Costs

    Stephen Pudney;Ruth Hancock;Holly Sutherland

  • Child Mental Health and Educational Attainment: Multiple Observers and the Measurement Error Problem

    David W. Johnston;Carol Propper;Stephen Pudney;Michael A. Shields

  • Gender and Racial Discrimination in Pay and Promotion for NHS Nurses

    Stephen Pudney;Michael A. Shields

  • The take-up of multiple means-tested benefits by British pensioners: evidence from the Family Resources Survey

    Ruth Hancock;Stephen Pudney;Geraldine Barker;Monica Hernandez

  • 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

    Mónica Hernández-Alava;Stephen Pudney

  • The welfare cost of means-testing: pensioner participation in income support

    Stephen Pudney;Monica Hernandez Alava;Ruth Hancock

  • Modelling Individual Choice: The Econometrics of Corners, Kinks and Holes.

    Arie Kapteyn;S. Pudney

  • Disability costs and equivalence scales in the older population

    Marcello Morciano;Ruth Hancock;Stephen Pudney

Frequent Co-Authors

Michael A. Shields
Michael A. Shields Monash University
Carol Propper
Carol Propper Imperial College London
Holly Sutherland
Holly Sutherland University of Essex
Arnstein Aassve
Arnstein Aassve Bocconi University
Thomas F. Crossley
Thomas F. Crossley University of Michigan–Ann Arbor
Mick P. Couper
Mick P. Couper University of Michigan–Ann Arbor
Amanda Sacker
Amanda Sacker University College London
Yvonne Kelly
Yvonne Kelly University College London
Dieter Wolke
Dieter Wolke University of Warwick

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Advancing your education in Economics and Finance can open a wide range of career pathways, both in traditional sectors and emerging industries. Many students now opt for flexible online programs to fit their professional and personal schedules.

For those looking to expand their business acumen, consider the best online MBA no GMAT options. These programs remove the barrier of standardized testing, making it easier for busy professionals to gain valuable credentials.

Affordability is often a key concern. Exploring an online MBA under 25k allows you to earn a respected degree without undue financial strain, enabling a faster return on your educational investment.

The finance field is also increasingly interconnected with marketing and management. Specializing in digital skills, such as with a digital marketing and social media degree, diversifies your expertise and broadens your career opportunities.

Additionally, industries like hospitality are seeking skilled managers. If you are interested in this fast-growing sector, a food and beverage management degree online can quickly equip you with essential leadership skills.

Best Scientists Citing Stephen Pudney

Trending Scientists

Recently Published Articles