World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
64
Citations
51145
World Ranking
400
National Ranking
213

Richard A. Davis 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 Richard A. Davis 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: 241 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Richard A. Davis 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 Richard A. Davis 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: 64 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2002 - Fellow of the American Statistical Association (ASA)

Overview

Richard A. Davis is affiliated with Columbia University in the United States and has contributed extensively to the fields of Economics, Econometrics, Finance, and Mathematics. Their research spans areas such as Financial Risk and Volatility Modeling, Complex Systems and Time Series Analysis, Monetary Policy and Economic Impact, Statistical Methods and Inference, Market Dynamics and Volatility, Advanced Statistical Methods and Models, and Statistical Mechanics and Entropy.

The scientist has published multiple papers in notable venues. Recent publications include:

  • Heavy-tailed distributions, correlations, kurtosis and Taylor's Law of fluctuation scaling (2020), Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
  • Time series estimation of the dynamic effects of disaster-type shocks (2022), Journal of Econometrics
  • Goodness-of-fit testing for time series models via distance covariance (2020), Journal of Econometrics
  • COVID-19 cases and deaths in the United States follow Taylor's law for heavy-tailed distributions with infinite variance (2022), Proceedings of the National Academy of Sciences
  • Modeling of time series using random forests: Theoretical developments (2020), Electronic Journal of Statistics

Frequent coauthors in their research include:

  • Gennady Samorodnitsky
  • Joel E. Cohen
  • Serena Ng
  • Mikkel Slot Nielsen
  • Phyllis Wan

Richard A. Davis has published multiple works in the following venues:

  • Journal of Econometrics
  • Journal of Time Series Analysis
  • arXiv (Cornell University)
  • Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
  • Proceedings of the National Academy of Sciences

Their main fields of study focus on:

  • Economics, Econometrics and Finance
  • Mathematics

Subfields of work include:

  • Finance
  • Economics and Econometrics
  • Statistics and Probability
  • General Economics, Econometrics and Finance
  • Modeling and Simulation

Recognized as a Fellow of the American Statistical Association (ASA) since 2002, Richard A. Davis's research continues to engage with advanced quantitative methods for analyzing financial risk and volatility as well as statistical modeling of dynamic systems.

Best Publications

  • Time Series: Theory and Methods

    Peter J Brockwell;Richard A Davis

  • Introduction to time series and forecasting

    Peter J. Brockwell;Richard A. Davis

  • Remarks on Some Nonparametric Estimates of a Density Function

    Richard A. Davis;Keh-Shin Lii;Dimitris N. Politis

  • Extremes and Related Properties of Random Sequences and Processes.

    Richard A. Davis;M. R. Leadbetter;Georg Lindgren;Holger Rootzen

  • Time Series: Theory and Methods (2nd ed.).

    Rong Chen;Peter J. Brockwell;Richard A. Davis

  • Time Series: Theory and Methods (2Nd Edn)

    P. M. North;Peter J. Brockwell;Richard A. Davis

  • Structural Break Estimation for Nonstationary Time Series Models

    Richard A Davis;Thomas C. M Lee;Gabriel A Rodriguez-Yam

  • Regular variation of GARCH processes

    Bojan Basrak;Richard A. Davis;Thomas Mikosch

  • Limit Theory for Moving Averages of Random Variables with Regularly Varying Tail Probabilities

    Richard Davis;Sidney Resnick

  • Limit Theory for the Sample Covariance and Correlation Functions of Moving Averages

    Richard Davis;Sidney Resnick

  • Handbook of Financial Time Series

    Torben G Andersen;Richard A Davis;Jens-Peter Kreiss;Thomas Mikosch

  • Observation-driven models for Poisson counts

    Richard A. Davis;William T. M. Dunsmuir;Sarah B. Streett

  • M-estimation for autoregressions with infinite variance

    Richard A. Davis;Keith Knight;Jian Liu

  • Tail estimates motivated by extreme-value theory

    Richard Davis;Sidney Resnick

  • Point Process and Partial Sum Convergence for Weakly Dependent Random Variables with Infinite Variance

    Richard A. Davis;Tailen Hsing

  • The extremogram: a correlogram for extreme events

    Richard A. Davis;Thomas Valentin Mikosch

  • The sample autocorrelations of heavy-tailed processes with applications to ARCH

    Richard A. Davis;Thomas Mikosch

  • Model selection for geostatistical models.

    Jennifer A. Hoeting;Richard A. Davis;Andrew A. Merton;Sandra E. Thompson

  • Sparse Vector Autoregressive Modeling

    Richard A. Davis;Pengfei Zang;Tian Zheng

  • A characterization of multivariate regular variation

    Bojan Basrak;Richard A. Davis;Thomas Mikosch

  • On Some Global Measures of the Deviations of Density Function Estimates

    Richard A. Davis;Keh-Shin Lii;Dimitris N. Politis

Frequent Co-Authors

Dimitris N. Politis
Dimitris N. Politis University of California, San Diego
Peter J. Brockwell
Peter J. Brockwell Colorado State University
Thomas Mikosch
Thomas Mikosch University of Copenhagen
Sidney I. Resnick
Sidney I. Resnick Cornell University
Brian C. Lovell
Brian C. Lovell University of Queensland
Claudia Klüppelberg
Claudia Klüppelberg Technical University of Munich
Gennady Samorodnitsky
Gennady Samorodnitsky Cornell University
Johan Segers
Johan Segers Université Catholique de Louvain
Philip H. W. Leong
Philip H. W. Leong University of Sydney
Murray Rosenblatt
Murray Rosenblatt University of California, San Diego

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