World's Best Scientists 2026 revealed!
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Economics and Finance
USA
2026

D-Index & Metrics

Economics and Finance

D-Index
103
Citations
79198
World Ranking
84
National Ranking
68

Mark W. Watson 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 Mark W. Watson 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: 286 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Mark W. Watson 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 Mark W. Watson 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: 103 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Economics and Finance in United States Leader Award
  • 2025 - Research.com Economics and Finance in United States Leader Award
  • 2024 - Research.com Economics and Finance in United States Leader Award
  • 2005 - Fellow of the American Academy of Arts and Sciences
  • 1992 - Fellows of the Econometric Society

Overview

Mark W. Watson is affiliated with Princeton University in the United States. Their research primarily focuses on Economics, Econometrics and Finance, with significant contributions across several subfields including Economics and Econometrics, General Economics, Econometrics and Finance, Statistics and Probability, Finance, and Computational Mechanics.

The scientist's work spans a variety of topics, such as:

  • Monetary Policy and Economic Impact
  • Spatial and Panel Data Analysis
  • Market Dynamics and Volatility
  • Economic theories and models
  • Economic Growth and Productivity
  • Fiscal Policy and Economic Growth
  • Statistical Methods and Inference

Mark W. Watson has authored multiple papers published in reputable academic venues. Some recent works include:

  • Comprehensive evidence implies a higher social cost of CO2, 2022, Nature
  • Inference in Structural Vector Autoregressions identified with an external instrument, 2020, Journal of Econometrics
  • Slack and Cyclically Sensitive Inflation, 2020, Journal of Money Credit and Banking
  • An Econometric Model of International Growth Dynamics for Long-Horizon Forecasting, 2020, The Review of Economics and Statistics
  • Aggregate Implications of Changing Sectoral Trends, 2022, Journal of Political Economy

Frequently publishing in journals such as The Review of Economics and Statistics, Econometrica, NBER Macroeconomics Annual, arXiv (Cornell University), and Nature, the scientist has contributed extensively to the academic discourse in their fields.

Frequent co-authors in their research include Ulrich K. Müller, James H. Stock, Andrew T. Foerster, Andreas Hornstein, and Pierre-Daniel G. Sarte. Collaborations with these researchers indicate a focus on macroeconomics, econometric methods, and economic dynamics.

Recognition of their professional standing includes being named a Fellow of the American Academy of Arts and Sciences in 2005 and a Fellow of the Econometric Society in 1992, reflecting a long-standing engagement with the economics research community.

Best Publications

  • Stochastic trends and economic fluctuations

    Robert G. King;Charles I. Plosser;James H. Stock;Mark W. Watson

  • A SIMPLE ESTIMATOR OF COINTEGRATING VECTORS IN HIGHER ORDER INTEGRATED SYSTEMS

    James H. Stock;Mark W. Watson

  • Forecasting Using Principal Components From a Large Number of Predictors

    James H Stock;Mark W Watson

  • INFERENCE IN LINEAR TIME SERIES MODELS WITH SOME UNIT ROOTS

    Christopher A. Sims;James H. Stock;Mark W. Watson

  • Macroeconomic Forecasting Using Diffusion Indexes

    James H Stock;Mark W Watson

  • Bubbles, Rational Expectations and Financial Markets

    Olivier Blanchard;Mark Watson

  • Testing for Common Trends

    James H. Stock;Mark W. Watson

  • Systematic monetary policy and the effects of oil price shocks

    Ben S. Bernanke;Mark Gertler;Mark W. Watson

  • Introduction to Econometrics

    James H. Stock;Mark W. Watson

  • Has the Business Cycle Changed and Why

    James Stock;Mark Watson

  • New Indexes of Coincident and Leading Economic Indicators

    James H. Stock;Mark W. Watson

  • Stochastic Trends and Economic Fluctuations

    Robert G King;Robert G King;Robert G King;Charles I Plosser;Charles I Plosser;James H Stock;James H Stock;Mark W Watson;Mark W Watson

  • Forecasting Output and Inflation: The Role of Asset Prices

    James H. Stock;Mark W. Watson

  • Why Has U.S. Inflation Become Harder to Forecast

    James H. Stock;Mark W. Watson

  • Sources of Business Cycle Fluctuations

    Matthew D. Shapiro;Mark W. Watson

  • Combination forecasts of output growth in a seven-country data set

    James H. Stock;Mark W. Watson

  • Sources of Business Cycle Fluctuations

    Matthew D. Shapiro;Mark W. Watson

  • Forecasting inflation

    Unknown

  • Evidence on Structural Instability in Macroeconomic Time Series Relations

    James H. Stock;Mark W. Watson

  • Business Cycle Fluctuations in U.S. Macroeconomic Time Series

    James H. Stock;Mark W. Watson

  • Univariate detrending methods with stochastic trends

    Mark W. Watson

  • Vector Autoregressions

    Unknown

  • Comprehensive evidence implies a higher social cost of CO2

    Unknown

  • Implications of Dynamic Factor Models for VAR Analysis

    James H. Stock;Mark W. Watson

  • Disentangling the Channels of the 2007–09 Recession

    James H. Stock;Mark W. Watson

Frequent Co-Authors

James H. Stock
James H. Stock Harvard University
Robert G. King
Robert G. King Boston University
Norman R. Swanson
Norman R. Swanson Rutgers, The State University of New Jersey
Ricardo Reis
Ricardo Reis London School of Economics and Political Science
Eric Ghysels
Eric Ghysels University of North Carolina at Chapel Hill
Robert F. Engle
Robert F. Engle New York University
Olivier J. Blanchard
Olivier J. Blanchard Peterson Institute for International Economics
Clive W. J. Granger
Clive W. J. Granger University of California, San Diego
Douglas O. Staiger
Douglas O. Staiger Dartmouth College
Robert E. Hall
Robert E. Hall Hoover Institution

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Related Online Degrees & Career Pathways

Pursuing a degree in Economics and Finance opens the door to multiple related fields that can be explored online. Many students leverage online education to broaden their skills and boost employability in different business sectors.

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Lastly, a masters business intelligence hones abilities in analyzing and utilizing business information, crucial for finance careers in today’s data-driven environment. These options enhance career flexibility and advancement for Economics and Finance graduates.

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