World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
44
Citations
10387
World Ranking
1836
National Ranking
210

Mathematics

D-Index
42
Citations
9967
World Ranking
1761
National Ranking
125

Stephen J. Leybourne publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Stephen J. Leybourne sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 155 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Stephen J. Leybourne D-index placement in Mathematics in 2026

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

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 42 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Stephen J. Leybourne is affiliated with the University of Nottingham in the United Kingdom. Their research primarily focuses on economics, econometrics, and finance, with a total of 39 publications in these fields. Within this broad domain, Leybourne's work spans several subfields, including economics and econometrics, general economics, finance, management science and operations research, and statistics, probability, and uncertainty.

The scientist's key areas of research interest include market dynamics and volatility, monetary policy and economic impact, financial risk and volatility modeling, complex systems and time series analysis, financial markets and investment strategies, housing market economics, and forecasting techniques and applications.

Stephen J. Leybourne has published research in a variety of academic journals. Frequent venues for their work include:

  • Oxford Bulletin of Economics and Statistics
  • Journal of Applied Econometrics
  • Journal of Time Series Analysis
  • Journal of Business and Economic Statistics
  • Journal of Financial Econometrics

Collaboration with co-authors is a notable aspect of Leybourne's research trajectory. Several frequent co-authors include:

  • David I. Harvey
  • Yang Zu
  • Robert Taylor
  • Emily J. Whitehouse
  • Sam Astill

Recent papers authored or co-authored by Stephen J. Leybourne demonstrate a focus on financial econometrics and empirical finance topics. These include:

  • "CUSUM-Based Monitoring for Explosive Episodes in Financial Data in the Presence of Time-Varying Volatility," 2021, published in the Journal of Financial Econometrics
  • "Date-stamping multiple bubble regimes," 2020, published in the Journal of Empirical Finance
  • "Real-time detection of regimes of predictability in the US equity premium," 2020, published in the Journal of Applied Econometrics
  • "Simple tests for stock return predictability with good size and power properties," 2021, published in the Journal of Econometrics
  • "Real-Time Monitoring of Bubbles and Crashes," 2023, published in the Oxford Bulletin of Economics and Statistics

Best Publications

  • Testing the equality of prediction mean squared errors

    David Harvey;Stephen Leybourne;Paul Newbold

  • Tests for Forecast Encompassing

    David S. Harvey;Stephen J. Leybourne;Paul Newbold

  • Unit roots and smooth transitions

    Stephen Leybourne;Paul Newbold;Dimitrios Vougas

  • More powerful panel data unit root tests with an application to mean reversion in real exchange rates

    L. Vanessa Smith;Stephen Leybourne;Tae Hwan Kim;Paul Newbold

  • A Consistent Test for a Unit Root

    S. J. Leybourne;B. P. M. McCabe

  • Spurious rejections by Dickey–Fuller tests in the presence of a break under the null

    Stephen J Leybourne;Terence C. Mills;Paul Newbold

  • TESTING FOR UNIT ROOTS USING FORWARD AND REVERSE DICKEY‐FULLER REGRESSIONS

    S. J. Leybourne

  • A Powerful Test for Linearity When the Order of Integration is Unknown

    David I Harvey;Stephen J Leybourne;Bin Xiao

  • Spurious rejections by cointegration tests induced by structural breaks

    Stephen J. Leybourne;Paul Newbold

  • Tests for explosive financial bubbles in the presence of non-stationary volatility

    David I. Harvey;Stephen J. Leybourne;Robert Sollis;A.M. Robert Taylor

  • Can Economic Time Series Be Differenced to Stationarity

    S. J. Leybourne;B. P. M. McCabe;A. R. Tremayne

  • Unit root tests with a break in innovation variance

    Tae Hwan Kim;Stephen Leybourne;Paul Newbold

  • Trade liberalization and Growth

    David Greenaway;Steve Leybourne;David Sapsford

  • Testing for time series linearity

    David I. Harvey;Stephen J. Leybourne

  • UNIT ROOT TESTING IN PRACTICE: DEALING WITH UNCERTAINTY OVER THE TREND AND INITIAL CONDITION

    David I. Harvey;Stephen J. Leybourne;A.M. Robert Taylor

  • Tests for Symmetric and Asymmetric Nonlinear Mean Reversion in Real Exchange Rates

    Robert Sollis;Stephen Leybourne;Paul Newbold

  • Modified tests for a change in persistence

    David I. Harvey;Stephen J. Leybourne;A.M. Robert Taylor

  • Tests for a change in persistence against the null of difference‐stationarity

    Stephen Leybourne;Tae‐Hwan Kim;Vanessa Smith;Paul Newbold

  • SIMPLE, ROBUST, AND POWERFUL TESTS OF THE BREAKING TREND HYPOTHESIS

    David I. Harvey;Stephen J. Leybourne;A.M. Robert Taylor

  • Trends and Cycles in British Industrial Production, 1700–1913

    N. F. R. Crafts;S. J. Leybourne;T. C. Mills

  • A powerful test for linearity when the order of integration is unknown [Revised to become No. 07/06 above]

    David I. Harvey;Stephen J. Leybourne;Bin Xiao

Frequent Co-Authors

David I. Harvey
David I. Harvey University of Nottingham
A. M. Robert Taylor
A. M. Robert Taylor University of Essex
David Harris
David Harris University of Sydney
Terence C. Mills
Terence C. Mills Loughborough University
Paul Mizen
Paul Mizen King's College London
Nicholas Crafts
Nicholas Crafts University of Sussex
Mark E. Wohar
Mark E. Wohar University of Nebraska at Omaha
David Greenaway
David Greenaway University of Nottingham
Michael Bleaney
Michael Bleaney University of Nottingham
Clive W. J. Granger
Clive W. J. Granger University of California, San Diego

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