World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
41
Citations
9076
World Ranking
2165
National Ranking
256

Steven Haberman 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 Steven Haberman 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: 242 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Steven Haberman 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 Steven Haberman 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: 41 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Overview

Steven Haberman is affiliated with City, University of London in the United Kingdom. Their research primarily focuses on topics related to insurance, mortality, demography, and risk management. Over time, they have contributed to several areas including global health care issues, health disparities and outcomes, financial literacy, pension and retirement analysis, as well as demographic modeling in relation to climate adaptation and climate change health impacts.

Their scholarly work spans across multiple main fields including social sciences and health professions. More specifically, their subfields of study include demography, general health professions, economics and econometrics, health, and management science and operations research.

Steven Haberman has published papers frequently in several key academic journals and venues. The most notable publication venues based on volume include:

  • SSRN Electronic Journal
  • Insurance Mathematics and Economics
  • Scandinavian Actuarial Journal
  • European Actuarial Journal
  • Quality & Quantity

Some of their recent research publications exemplify their focus in mortality forecasting and actuarial science:

  • Multi-population mortality forecasting using tensor decomposition, 2020, Scandinavian Actuarial Journal
  • The slowdown in mortality improvement rates 2011-2017: a multi-country analysis, 2022, European Actuarial Journal
  • Multi-population modelling and forecasting life-table death counts, 2022, Insurance Mathematics and Economics
  • COVID-19 accelerated mortality shocks and the impact on life insurance: the Italian situation, 2022, Annals of Actuarial Science
  • Modelling and forecasting mortality improvement rates with random effects, 2021, European Actuarial Journal

Throughout their career, Steven Haberman has worked alongside a number of frequent co-authors including:

  • Han Lin Shang
  • Madhavi Bajekal
  • Maria Carannante
  • Valeria D'Amato
  • Seung Yeon Jeong

The concentration of their research outputs highlights a multidisciplinary approach linking quantitative actuarial methods with public health and demographic trends. Their work often addresses the interface of mortality modeling, insurance implications, and broader societal concerns such as health disparities and global health care issues.

Best Publications

  • A cohort-based extension to the Lee–Carter model for mortality reduction factors

    A.E. Renshaw;S. Haberman

  • Lee–Carter mortality forecasting with age-specific enhancement

    A.E. Renshaw;S. Haberman

  • Modelling Longevity Dynamics for Pensions and Annuity Business

    Michel Denuit;E. Pitacco;S. Haberman;A. Olivieri

  • Actuarial Models for Disability Insurance

    Steven Haberman;Ermanno Pitacco

  • Modern Actuarial Theory and Practice

    Philip Booth;Robert Chadburn;Steven Haberman;Dewi James

  • Generalized linear models and actuarial science

    Steven Haberman;Arthur E. Renshaw

  • Lee-Carter mortality forecasting: a parallel generalized linear modelling approach for England and Wales mortality projections

    Arthur Renshaw;Steven Haberman

  • A comparative study of parametric mortality projection models

    Steven Haberman;Arthur Renshaw

  • Optimal investment strategies and risk measures in defined contribution pension schemes

    Steven Haberman;Elena Vigna

  • Optimal investment strategy for defined contribution pension schemes

    Elena Vigna;Steven Haberman

  • Dynamic approaches to pension funding

    Steven Haberman;Joo-Ho Sung

  • On the forecasting of mortality reduction factors

    A.E. Renshaw;S. Haberman

  • Optimal investment choices post-retirement in a defined contribution pension scheme

    Russell Gerrard;Steven Haberman;Elena Vigna

  • The Fair Valuation Problem of Guaranteed Annuity Options: The Stochastic Mortality Environment Case

    Laura Ballotta;Steven Haberman

  • The Modelling of Recent Mortality Trends in United Kingdom Male Assured Lives

    A.E. Renshaw;S. Haberman;P. Hatzopoulos

  • Projecting Mortality Trends: Recent Developments in the United Kingdom and the United States

    Carlos Wong-Fupuy;Steven Haberman

  • Valuation of guaranteed annuity conversion options

    Laura Ballotta;Steven Haberman

  • On the Modeling and Forecasting of Socioeconomic Mortality Differentials: An Application to Deprivation and Mortality in England

    Andrés M. Villegas;Steven Haberman

  • On simulation-based approaches to risk measurement in mortality with specific reference to Poisson Lee-Carter modelling

    A.E. Renshaw;S. Haberman

  • On age-period-cohort parametric mortality rate projections

    Steven Haberman;Arthur Renshaw

  • Guarantees in With‐Profit and Unitized With‐Profit Life Insurance Contracts: Fair Valuation Problem in Presence of the Default Option

    Laura Ballotta;Steven Haberman;Nan Wang

Frequent Co-Authors

Michel Denuit
Michel Denuit Université Catholique de Louvain
Jeffrey R. Brown
Jeffrey R. Brown University of Illinois at Urbana-Champaign
Moshe A. Milevsky
Moshe A. Milevsky York University
Nereo Bresolin
Nereo Bresolin University of Milan
Ettore Beghi
Ettore Beghi Mario Negri Institute for Pharmacological Research
Corrado Angelini
Corrado Angelini University of Padua
Brian E. Henderson
Brian E. Henderson University of Southern California
Mimi C. Yu
Mimi C. Yu University of Southern California
Susan Preston-Martin
Susan Preston-Martin University of Southern California

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