World's Best Scientists 2026 revealed!
David E. A. Giles

David E. A. Giles

D-Index & Metrics

Economics and Finance

D-Index
33
Citations
6017
World Ranking
3238
National Ranking
86

David E. A. Giles 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 David E. A. Giles 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: 205 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

David E. A. Giles 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 David E. A. Giles 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: 33 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

David E. A. Giles is affiliated with the University of Victoria in Canada. Their research principally focuses on the field of Mathematics, with significant contributions in Statistics and Probability. The scientist has also worked in subfields including Artificial Intelligence, General Economics, Econometrics and Finance, Management Science and Operations Research, and Economics and Econometrics.

Key topics addressed in their work include Statistical Distribution Estimation and Applications, Statistical Methods and Bayesian Inference, Advanced Statistical Methods and Models, and Bayesian Methods and Mixture Models. Additional areas of study encompass Monetary Policy and Economic Impact, Efficiency Analysis Using DEA, and Fiscal Policy and Economic Growth.

Recent publications authored by David E. A. Giles comprise:

  • Improved Maximum Likelihood Estimation for the Weibull Distribution Under Length-Biased Sampling, 2021, Journal of Quantitative Economics
  • Some Consequences of Including Impulse-Indicator Dummy Variables in Econometric Models, 2022, Journal of Quantitative Economics
  • New Goodness-of-Fit Tests for the Kumaraswamy Distribution: A Simulation Study, 2024, Preprints.org

The scientist's work appears predominantly in the Journal of Quantitative Economics, alongside publications in Preprints.org, Goldschmidt Abstracts, WSEAS Transactions on Mathematics, and Journal of Modern Applied Statistical Methods.

Frequent coauthors collaborating with David E. A. Giles include:

  • A. L. Nagar
  • Edi- Torship Of
  • Yong Bao
  • Peter C.B. Phillips
  • Whitney K. Newey

Best Publications

  • Handbook of applied economic statistics

    Eric R. Ziegel;Aman Ullah;David E. A. Giles

  • Seemingly unrelated regression equations models : estimation and inference

    V. K. Srivastava;D. E. A. Giles

  • Measuring the Hidden Economy: Implications for Econometric Modelling

    David E. A. Giles

  • MODELLING THE HIDDEN ECONOMY AND THE TAX-GAP IN NEW ZEALAND

    David E. A. Giles

  • Intermediate Statistics and Econometrics: A Comparative Approach

    Dale J. Poirier

  • Modelling Volatility Spillover Effects Between Developed Stock Markets and Asian Emerging Stock Markets

    Yanan Li;David E. Giles

  • Taxes and the Canadian underground economy

    David E. A. Giles;Lindsay M. Tedds

  • The Canadian underground and measured economies: Granger causality results

    David E. A. Giles;Lindsay M. Tedds;Gugsa Werkneh

  • Causality between the measured and underground economies in New Zealand

    David E. A. Giles

  • Benford's law and naturally occurring prices in certain ebaY auctions

    David E. Giles

  • PRE-TEST ESTIMATION AND TESTING IN ECONOMETRICS: RECENT DEVELOPMENTS

    Judith A. Giles;David E. A. Giles

  • Calculating a Standard Error for the Gini Coefficient: Some Further Results*

    David E. A. Giles

  • Causality, Unit Roots and Export-Led Growth: The New Zealand Experience

    David E. A. Giles;Judith A. Giles;Ewen McCann

  • The rise and fall of the New Zealand underground economy: are the responses symmetric?

    David E. A. Giles

  • Modelling the hidden economy and the tax-gap in New Zealand

    Unknown

  • Testing for Asymmetry in the Measured and Underground Business Cycles in New Zealand

    David E. A. Giles

  • Interpreting Dummy Variables in Semi-logarithmic Regression Models: Exact Distributional Results

    David E. Giles

  • Autocorrelation pre-testing in the linear model. Estimation, testing and prediction

    M.L. King;D.E.A. Giles

  • On the Bias of the Maximum Likelihood Estimator for the Two-Parameter Lomax Distribution

    David E. Giles;Hui Feng;Ryan T. Godwin

  • Testing for multivariate cointegration in the presence of structural breaks: p-values and critical values

    David E. Giles;Ryan T. Godwin

  • Modeling the Hidden Economy and the Tax-gap in New Zealand

    David E. A. Giles

  • Handbook of empirical economics and finance

    Aman Ullah;David E. A. Giles

Frequent Co-Authors

Aman Ullah
Aman Ullah University of California, Riverside
George G. Judge
George G. Judge University of California, Berkeley

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

Exploring careers in Economics and Finance in the USA opens up a diverse range of professional pathways—many of which benefit from advanced, specialized education. Today’s top employers often value expertise in data, leadership, and analytics, which has led to a significant demand for online graduate programs tailored to these needs.

For those interested in interpreting business data, an online masters in analytics equips students with skills in statistical analysis, modeling, and decision-making. Professionals seeking leadership roles in organizations may consider the best organizational development master's programs to focus on change management and strategic leadership.

If your goal is to make data-driven business decisions, a business intelligence degree online provides specialized training in transforming data into actionable strategies. Those seeking broader business management skills without standardized test requirements may find online mba programs especially appealing.

Choosing the right online degree can help you access high-growth careers in finance, consulting, analytics, and business strategy—all from the flexibility of your own home.

Best Scientists Citing David E. A. Giles

Trending Scientists

Recently Published Articles