World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
40
Citations
8216
World Ranking
2273
National Ranking
268

Bernard Fingleton 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 Bernard Fingleton 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: 190 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Bernard Fingleton 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 Bernard Fingleton 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: 40 D-Index — 41st percentile

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

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

Overview

Bernard Fingleton is affiliated with the University of Cambridge in the United Kingdom and specializes in research within the fields of Economics, Econometrics, and Finance. Their work spans several subfields, primarily Economics and Econometrics, with additional contributions in Political Science and International Relations as well as General Economics, Econometrics, and Finance.

The core topics explored in their research include:

  • Regional Economics and Spatial Analysis
  • Spatial and Panel Data Analysis
  • Fiscal Policy and Economic Growth
  • Housing Market and Economics
  • Regional Development and Policy
  • Global Trade and Economics
  • German Economic Analysis & Policies

Fingleton has published multiple papers in various scholarly venues, with a focus on spatial economic issues and regional productivity. Frequent publication outlets include:

  • National Institute Economic Review
  • International Journal of Computational Economics and Econometrics
  • Journal of Geographical Systems
  • ZFW - Advances in Economic Geography
  • Journal of Spatial Econometrics

Recent published works include:

  • REGIONAL DISPARITIES IN LABOUR PRODUCTIVITY AND THE ROLE OF CAPITAL STOCK, 2020, National Institute Economic Review
  • Estimating dynamic spatial panel data models with endogenous regressors using synthetic instruments, 2022, Journal of Geographical Systems
  • The impact of Brexit on regional productivity in the UK, 2022, ZFW - Advances in Economic Geography
  • Exploring Brexit implications: the impact of longer journey times, 2022, International Journal of Computational Economics and Econometrics
  • Modifying the linear two-step Windmeijer correction for the presence of spatial error dependence, 2022, Journal of Spatial Econometrics

Their recent research covers themes such as labor productivity disparities, spatial econometric methods, and regional effects of Brexit, demonstrating a sustained interest in spatial and regional economic issues.

Fingleton frequently collaborates with several coauthors in their field. Regular collaborators include:

  • Ben Gardiner
  • Ron Martin
  • Luca Barbieri

Best Publications

  • RECESSIONARY SHOCKS AND REGIONAL EMPLOYMENT: EVIDENCE ON THE RESILIENCE OF U.K. REGIONS*

    Bernard Fingleton;Harry Garretsen;Ron Martin

  • Where is the economics in spatial econometrics

    Luisa Corrado;Bernard Fingleton

  • Empirical growth models with spatial effects

    Bernard Fingleton;Enrique López-Bazo

  • Estimates of Time to Economic Convergence: An Analysis of Regions of the European Union:

    Bernard Fingleton

  • Increasing returns and economic growth: some evidence for manufacturing from the European Union regions

    B. Fingleton;J.S.L McCombie

  • Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances: Finite sample properties*

    Bernard Fingleton;Julie Le Gallo

  • Equilibrium and Economic Growth: Spatial Econometric Models and Simulations

    Bernard Fingleton

  • Specification and Testing of Markov Chain Models: An Application to Convergence in the European Union

    Bernard Fingleton

  • Spatial data analysis by example. Vol.1: Point pattern and quantitative data

    Graham J. G. Upton;Bernard Fingleton

  • Models of Category Counts

    Bernard Fingleton

  • Externalities, economic geography and spatial econometrics: conceptual and modelling developments

    Bernard Fingleton

  • Theoretical economic geography and spatial econometrics: dynamic perspectives

    Bernard Fingleton

  • European regional growth

    Bernard Fingleton

  • A Generalized Method of Moments Estimator for a Spatial Panel Model with an Endogenous Spatial Lag and Spatial Moving Average Errors

    Bernard Fingleton

  • Spurious Spatial Regression: Some Monte Carlo Results with a Spatial Unit Root and Spatial Cointegration

    Bernard Fingleton

  • Estimating and forecasting with a dynamic spatial panel data model

    Badi H. Baltagi;Bernard Fingleton;Alain Pirotte;Alain Pirotte

  • Evaluating China's road to prosperity: A new economic geography approach☆☆☆

    Mark Roberts;Uwe Deichmann;Bernard Fingleton;Tuo Shi

  • Employment Resilience in Europe and the 2008 Economic Crisis: Insights from Micro-Level Data

    Justin Doran;Bernard Fingleton

  • Shocking aspects of monetary union: the vulnerability of regions in Euroland

    Bernard Fingleton;Harry Garretsen;Ron Martin

  • The new economic geography versus urban economics: an evaluation using local wage rates in Great Britain

    Bernard Fingleton

  • Point pattern and quantitative data

    Graham J. G. Upton;B. Fingleton

  • Regional productivity variation and the impact of public capital stock: an analysis with spatial interaction, with reference to Spain

    Miguel Gómez-Antonio;Bernard Fingleton

  • Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances: finite sample properties

    Julie Le Gallo;Bernard Fingleton

Frequent Co-Authors

Julie Le Gallo
Julie Le Gallo Institut Agro, France
Philip McCann
Philip McCann University of Manchester
Franz Fuerst
Franz Fuerst University of Cambridge
Harry Garretsen
Harry Garretsen University of Groningen
Badi H. Baltagi
Badi H. Baltagi Syracuse University
Ron Martin
Ron Martin University of Cambridge
Uwe Deichmann
Uwe Deichmann World Bank
Manfred M. Fischer
Manfred M. Fischer Vienna University of Economics and Business
John S.L. McCombie
John S.L. McCombie University of Cambridge
Raffaele Paci
Raffaele Paci University of Cagliari

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

Expanding your expertise beyond Economics and Finance can open the door to exciting career opportunities in today’s interconnected business landscape. Many students explore online degrees to build key skills that complement their primary studies.

For instance, a masters in human resource management online equips you for strategic roles managing talent and organizational culture. Meanwhile, an online master’s in data analytics delivers in-demand technical skills for data-driven decision making—vital for finance professionals.

Students focused on leadership can pursue a masters organizational leadership to gain advanced knowledge in guiding teams and managing change. Additionally, an online mba in business intelligence combines management training with expertise in analyzing business information, helping graduates shape company strategy.

These online programs make it easier than ever to specialize and stand out—whether you are launching your career or preparing to move up.

Best Scientists Citing Bernard Fingleton

Trending Scientists

Recently Published Articles