World's Best Scientists 2026 revealed!

D-Index & Metrics

Social Sciences and Humanities

D-Index
36
Citations
8891
World Ranking
6375
National Ranking
3068

Edward W. Frees publication distribution in Social Sciences and Humanities in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Social Sciences and Humanities in 2026. The highlighted bar marks where Edward W. Frees sits on this spectrum.

44–53 publications: 28 scientists 54–63 publications: 61 scientists 64–73 publications: 161 scientists 74–83 publications: 225 scientists 84–93 publications: 301 scientists 94–103 publications: 390 scientists 104–113 publications: 406 scientists 114–123 publications: 474 scientists 124–133 publications: 453 scientists 134–143 publications: 434 scientists 144–153 publications: 407 scientists 154–163 publications: 411 scientists 164–173 publications: 391 scientists 174–183 publications: 313 scientists 184–193 publications: 319 scientists 194–203 publications: 304 scientists 204–213 publications: 285 scientists 214–223 publications: 246 scientists 224–233 publications: 213 scientists 234–243 publications: 170 scientists 244–253 publications: 167 scientists 254–263 publications: 162 scientists 264–273 publications: 138 scientists 274–283 publications: 138 scientists 284–293 publications: 113 scientists 294–303 publications: 106 scientists 304–313 publications: 95 scientists 314–323 publications: 101 scientists 324–333 publications: 81 scientists 334–343 publications: 69 scientists 344–353 publications: 56 scientists 354–363 publications: 36 scientists 364–373 publications: 42 scientists 374–383 publications: 41 scientists 384–393 publications: 44 scientists 394–403 publications: 27 scientists 404–413 publications: 30 scientists 414–423 publications: 20 scientists 424–433 publications: 29 scientists 434–443 publications: 29 scientists 444–453 publications: 25 scientists 454–463 publications: 19 scientists 464–473 publications: 21 scientists 474–483 publications: 11 scientists 484–493 publications: 17 scientists 494–503 publications: 7 scientists 504–513 publications: 6 scientists 514–523 publications: 12 scientists 524–533 publications: 10 scientists 534–543 publications: 7 scientists 544–553 publications: 6 scientists 554–563 publications: 12 scientists 564–569 publications: 8 scientists 570+ publications: 100 scientists
44 publications 570+

This scientist: 143 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 570 publications or more.

Edward W. Frees D-index placement in Social Sciences and Humanities in 2026

The chart shows the D-index (discipline H-index) distribution of Social Sciences and Humanities scientists ranked by Research.com in 2026. The highlighted bar marks where Edward W. Frees sits on this spectrum.

30 D-Index: 177 scientists 31 D-Index: 210 scientists 32 D-Index: 222 scientists 33 D-Index: 188 scientists 34 D-Index: 181 scientists 35 D-Index: 243 scientists 36 D-Index: 261 scientists 37 D-Index: 272 scientists 38 D-Index: 278 scientists 39 D-Index: 300 scientists 40 D-Index: 297 scientists 41 D-Index: 308 scientists 42 D-Index: 313 scientists 43 D-Index: 300 scientists 44 D-Index: 269 scientists 45 D-Index: 260 scientists 46 D-Index: 228 scientists 47 D-Index: 251 scientists 48 D-Index: 203 scientists 49 D-Index: 186 scientists 50 D-Index: 187 scientists 51 D-Index: 166 scientists 52 D-Index: 138 scientists 53 D-Index: 141 scientists 54 D-Index: 131 scientists 55 D-Index: 137 scientists 56 D-Index: 109 scientists 57 D-Index: 129 scientists 58 D-Index: 95 scientists 59 D-Index: 105 scientists 60 D-Index: 106 scientists 61 D-Index: 86 scientists 62 D-Index: 94 scientists 63 D-Index: 77 scientists 64 D-Index: 79 scientists 65 D-Index: 59 scientists 66 D-Index: 68 scientists 67 D-Index: 51 scientists 68 D-Index: 49 scientists 69 D-Index: 40 scientists 70 D-Index: 43 scientists 71 D-Index: 40 scientists 72 D-Index: 50 scientists 73 D-Index: 46 scientists 74 D-Index: 43 scientists 75 D-Index: 45 scientists 76 D-Index: 45 scientists 77 D-Index: 30 scientists 78 D-Index: 25 scientists 79 D-Index: 31 scientists 80 D-Index: 29 scientists 81 D-Index: 18 scientists 82 D-Index: 21 scientists 83 D-Index: 26 scientists 84 D-Index: 15 scientists 85 D-Index: 15 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 12 scientists 89 D-Index: 7 scientists 90 D-Index: 19 scientists 91 D-Index: 20 scientists 92 D-Index: 13 scientists 93 D-Index: 9 scientists 94 D-Index: 13 scientists 95 D-Index: 8 scientists 96 D-Index: 7 scientists 97 D-Index: 6 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100+ D-Index: 97 scientists
30 D-Index 100+

This scientist: 36 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 100 D-Index or more.

Research.com Recognitions

  • 1997 - Fellow of the American Statistical Association (ASA)

Overview

Edward W. Frees is affiliated with the University of Wisconsin-Madison in the United States. Their research primarily spans the field of Economics, Econometrics, and Finance, with a particular focus on areas including Economics and Econometrics, Marketing, Demography, Management Science and Operations Research, and Finance.

Their work extensively covers topics related to Insurance and Financial Risk Management, Insurance, Mortality, Demography, Risk Management, Law, Economics, and Judicial Systems, Probability and Risk Models, Customer Churn and Segmentation, Advanced Statistical Process Monitoring, and Customer Service Quality and Loyalty.

Frequent publication venues for their work include the SSRN Electronic Journal, North American Actuarial Journal, Astin Bulletin, Expert Systems with Applications, and Data in Brief.

Recent papers authored or co-authored by Edward W. Frees include:

  • The Discriminating (Pricing) Actuary, 2021, North American Actuarial Journal
  • JOINT MODEL PREDICTION AND APPLICATION TO INDIVIDUAL-LEVEL LOSS RESERVING, 2021, Astin Bulletin
  • Dependence modeling of multivariate longitudinal hybrid insurance data with dropout, 2021, Expert Systems with Applications
  • Online Supplement to: The Discriminating (Pricing) Actuary, 2021, SSRN Electronic Journal
  • The Discriminating (Pricing) Actuary, 2020, SSRN Electronic Journal

Frequent co-authors collaborating with Edward W. Frees include Fei Huang, Peng Shi, Yumo Dong, Francis K. C. Hui, and Catalina Bolancé.

Edward W. Frees was recognized as a Fellow of the American Statistical Association (ASA) in 1997.

Best Publications

  • Longitudinal and Panel Data: Analysis and Applications in the Social Sciences

    Edward W. Frees

  • Understanding Relationships Using Copulas

    Unknown

  • Assessing cross-sectional correlation in panel data

    Edward W. Frees

  • Annuity Valuation with Dependent Mortality

    Edward W. Frees;Jacques Carriere;Emiliano Valdez

  • Regression Modeling with Actuarial and Financial Applications

    Edward W. Frees

  • INTERNATIONAL PROPERTY-LIABILITY INSURANCE CONSUMPTION

    Mark J. Browne;JaeWook Chung;Edward W. Frees

  • Hierarchical Insurance Claims Modeling

    Edward W. Frees;Emiliano A. Valdez

  • Data Analysis Using Regression Models: The Business Perspective

    Edward W. Frees

  • Credibility Using Copulas

    Edward W. Frees;Ping Wang

  • Estimating the Volatility of Discrete Stock Prices

    D. Chinhyung Cho;Edward W. Frees

  • Influence Diagnostics for Linear Longitudinal Models

    Mousumi Banerjee;Edward W. Frees

  • Multivariate Frequency-Severity Regression Models in Insurance

    Edward W. Frees;Gee Lee;Lu Yang

  • A longitudinal data analysis interpretation of credibility models

    Edward W. Frees;Virginia R. Young;Yu Luo

  • Summarizing Insurance Scores Using a Gini Index

    Edward W. Frees;Glenn Meyers;A. David Cummings

  • Copula credibility for aggregate loss models

    Edward W. Frees;Ping Wang

  • Predictive Modeling Applications In Actuarial Science

    Edward W. Frees;Richard A. Derrig;Glenn Meyers

  • Dependent Loss Reserving using Copulas

    Peng Shi;Edward W. Frees

  • Nonparametric Renewal Function Estimation

    Edward W. Frees

  • Omitted Variables in Multilevel Models

    Jee-Seon Kim;Edward W. Frees

  • Heavy-tailed longitudinal data modeling using copulas

    Jiafeng Sun;Edward W. Frees;Marjorie A. Rosenberg

  • Warranty analysis and renewal function estimation

    Edward W. Frees

  • Sales forecasting using longitudinal data models

    Edward W. Frees;Thomas W. Miller

Frequent Co-Authors

Virginia R. Young
Virginia R. Young University of Michigan–Ann Arbor
Montserrat Guillén
Montserrat Guillén University of Barcelona
David Ruppert
David Ruppert Cornell University

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