World's Best Scientists 2026 revealed!
Nicholas Barberis

Nicholas Barberis

D-Index & Metrics

Economics and Finance

D-Index
41
Citations
40392
World Ranking
2101
National Ranking
1208

Nicholas Barberis 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 Nicholas Barberis 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: 70 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Nicholas Barberis 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 Nicholas Barberis 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: 41 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Overview

Nicholas Barberis is primarily affiliated with Yale University in the United States. Their research spans several interconnected fields including Economics, Econometrics and Finance, and Decision Sciences. Their work is notably concentrated in subfields such as Finance, Management Science and Operations Research, and Economics and Econometrics.

The main topics explored in their research include:

  • Financial Markets and Investment Strategies
  • Capital Investment and Risk Analysis
  • Stock Market Forecasting Methods
  • Stochastic Processes and Financial Applications
  • Complex Systems and Time Series Analysis

Their recent scholarly output features papers published between 2021 and 2023, with articles appearing in journals such as The Journal of Finance and the SSRN Electronic Journal. Notable recent papers include:

  • Prospect Theory and Stock Market Anomalies, 2021, The Journal of Finance
  • Model-free and Model-based Learning as Joint Drivers of Investor Behavior, 2023, SSRN Electronic Journal
  • Model-Free and Model-Based Learning as Joint Drivers of Investor Behavior, 2023, SSRN Electronic Journal

Frequent collaborators in their work include Lawrence J. Jin, BAOLIAN WANG, and Lawrence Jin, indicating a pattern of ongoing co-authorship and research partnership.

Their publications predominantly appear in venues such as the SSRN Electronic Journal and The Journal of Finance, reflecting a focus on outlets that specialize in finance and economics research.

Best Publications

  • A model of investor sentiment

    Nicholas Barberis;Andrei Shleifer;Robert W. Vishny

  • A survey of behavioral finance

    Nicholas Barberis;Richard Thaler

  • A model of investor sentiment1We are grateful to the NSF for financial support, and to Oliver Blanchard, Alon Brav, John Campbell (a referee), John Cochrane, Edward Glaeser, J.B. Heaton, Danny Kahneman, David Laibson, Owen Lamont, Drazen Prelec, Jay Ritter (a referee), Ken Singleton, Dick Thaler, an anonymous referee, and the editor, Bill Schwert, for comments.1

    Nicholas Barberis;Andrei Shleifer;Robert Vishny

  • Prospect Theory and Asset Prices

    Nicholas Barberis;Ming Huang;Tano Santos

  • Stocks as Lotteries: The Implications of Probability Weighting for Security Prices

    Nicholas Barberis;Ming Huang

  • Investing for the Long Run when Returns Are Predictable

    Nicholas Barberis

  • Thirty Years of Prospect Theory in Economics: A Review and Assessment

    Nicholas C. Barberis

  • Mental Accounting, Loss Aversion, and Individual Stock Returns

    Nicholas Barberis;Ming Huang

  • Mental Accounting, Loss Aversion, and Individual Stock Returns

    Nicholas Barberis;Ming Huang

  • X-CAPM: An Extrapolative Capital Asset Pricing Model

    Nicholas Barberis;Robin Marc Greenwood;Lawrence Jin;Andrei Shleifer

  • Chapter1. A Survey of Behavioral Finance

    Nicholas Barberis;Richard Thaler

  • What Drives the Disposition Effect? An Analysis of a Long-Standing Preference-Based Explanation

    Nicholas Barberis;Wei Xiong

  • Style investing

    Unknown

  • A Model of Investor Sentiment

    Nicholas Barberis;Nicholas Barberis;Andrei Shleifer;Andrei Shleifer;Robert W. Vishny;Robert W. Vishny

  • Individual Preferences, Monetary Gambles, and Stock Market Participation: A Case for Narrow Framing

    Nicholas Barberis;Ming Huang;Richard H. Thaler

  • Comovement

    Unknown

  • How Does Privatization Work? Evidence from the Russian Shops

    Nicholas Barberis;Maxim Boycko;Andrei Shleifer;Natalia Tsukanova

  • Extrapolation and Bubbles

    Nicholas Barberis;Robin Greenwood;Lawrence Jin;Andrei Shleifer

  • Realization utility

    Unknown

  • A survey of behavioral finance

    Nicholas Barberis;Nicholas Barberis;Richard H. Thaler;Richard H. Thaler

  • A Survey of Behavioral Finance

    Unknown

  • Stocks as Lotteries: the Implications of Probability Weighting for Security Prices

    Nicholas Barberis;Nicholas Barberis;Ming Huang

  • Prospect Theory and Stock Returns: An Empirical Test

    Nicholas Barberis;Abhiroop Mukherjee;Baolian Wang

  • Using Neural Data to Test A Theory of Investor Behavior: An Application to Realization Utility.

    Cary Frydman;Nicholas Barberis;Colin Camerer;Peter Bossaerts

  • The Psychology of Tail Events: Progress and Challenges

    Nicholas Barberis

  • A Model of Casino Gambling

    Nicholas Barberis

  • Psychology-based Models of Asset Prices and Trading Volume

    Nicholas C Barberis;Nicholas C Barberis

  • Preferences with Frames: A New Utility Specification that Allows for the Framing of Risks

    Nicholas Barberis;Ming Huang

Frequent Co-Authors

Andrei Shleifer
Andrei Shleifer Harvard University
Richard H. Thaler
Richard H. Thaler University of Chicago
Robin Greenwood
Robin Greenwood Harvard University
Robert W. Vishny
Robert W. Vishny University of Chicago
Wei Xiong
Wei Xiong Princeton University
Antonio Rangel
Antonio Rangel California Institute of Technology
Peter Bossaerts
Peter Bossaerts University of Cambridge
Colin F. Camerer
Colin F. Camerer California Institute of Technology
Pierre Collin-Dufresne
Pierre Collin-Dufresne École Polytechnique Fédérale de Lausanne
Michael Firth
Michael Firth Lingnan University

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