World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
32
Citations
4336
World Ranking
3463
National Ranking
99

Mathematics

D-Index
35
Citations
5060
World Ranking
2782
National Ranking
62

Jiti Gao 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 Jiti Gao 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: 82 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: 264 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Jiti Gao 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 Jiti Gao 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: 137 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: 35 D-Index — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Overview

Jiti Gao is affiliated with Monash University in Australia and specializes in Economics, Econometrics, and Finance. Their research spans several subfields, including Economics and Econometrics, Statistics and Probability, General Economics, Econometrics and Finance, Finance, and Management Science and Operations Research.

The scientist's work covers a range of main topics such as Monetary Policy and Economic Impact, Statistical Methods and Inference, Spatial and Panel Data Analysis, Financial Risk and Volatility Modeling, Energy, Environment, Economic Growth, Market Dynamics and Volatility, and Regional Economics and Spatial Analysis.

Jiti Gao has published extensively across multiple venues. Frequent publication outlets include RePEc: Research Papers in Economics, SSRN Electronic Journal, arXiv (Cornell University), Journal of Econometrics, and Journal of Business and Economic Statistics.

Recent notable papers include:

  • Time-varying income elasticities of healthcare expenditure for the OECD and Eurozone, 2021, Journal of Applied Econometrics
  • Recursive estimation in large panel data models: Theory and practice, 2020, Journal of Econometrics
  • Estimation and inference in semiparametric quantile factor models, 2020, Journal of Econometrics
  • Varying-Coefficient Panel Data Models With Nonstationarity and Partially Observed Factor Structure, 2020, Journal of Business and Economic Statistics
  • Local logit regression for loan recovery rate, 2021, Journal of Banking & Finance

Frequent co-authors in Gao's work include Bin Peng, Yayi Yan, Chaohua Dong, Yanrong Yang, and Oliver Linton.

Gao has authored books published by Springer Nature (Netherlands) and WS EDUCATION eBooks. Titles include Modern Series Methods in Econometrics and Statistics (2025) and Nonlinear Trending Time Series (2024).

Best Publications

  • Partially Linear Models

    Wolfgang Hardle;Hua LIang;Jiti Gao

  • Nonlinear Time Series: Semiparametric and Nonparametric Methods

    Jiti Gao

  • Non-parametric time-varying coefficient panel data models with fixed effects

    Degui Li;Degui Li;Jia Chen;Jia Chen;Jia Chen;Jiti Gao;Jiti Gao

  • Bandwidth Selection in Nonparametric Kernel Testing

    Jiti Gao;Irene Gijbels

  • Semiparametric trending panel data models with cross-sectional dependence

    Jia Chen;Jiti Gao;Degui Li

  • Asymptotic theory for partly linear models

    Jiti Gao

  • Estimation in Semiparametric Spatial Regression

    Jiti Gao;Zudi Lu;Dag Tjostheim

  • A Test for model specification of diffusion processes

    Song Xi Chen;Jiti Gao;Cheng Yong Tang

  • Semiparametric estimation and testing of the trend of temperature series

    Jiti Gao;Kim Hawthorne

  • Specification testing in nonlinear and nonstationary time series autoregression

    Jiti Gao;Maxwell Leslie King;Zudi Lu;Dag Tjostheim

  • Adaptive testing in continuous-time diffusion models

    Jiti Gao;Maxwell Leslie King

  • Nonparametric specification testing for nonlinear time series with nonstationarity

    Jiti Gao;Maxwell Leslie King;Zudi Lu;Dag Tjostheim

  • Nonlinear Time Series: Nonparametric and Parametric Methods

    Jiti Gao

  • Empirical Comparisons in Short-Term Interest Rate Models Using Nonparametric Methods

    Manuel Arapis;Jiti Gao

  • Estimation in Partially Linear Single-Index Panel Data Models With Fixed Effects

    Jia Chen;Jiti Gao;Degui Li

  • An adaptive empirical likelihood test for parametric time series regression models

    Song Xi Chen;Jiti Gao

  • High dimensional correlation matrices: the central limit theorem and its applications

    Jiti Gao;Xiao Han;Guangming Pan;Yanrong Yang

  • Parameter estimation of stochastic processes with long-range dependence and intermittency

    Jiti Gao;Vo Anh;Chris Heyde;Quang Tieng

  • Semiparametric regression under long-range dependent errors

    J.T. Gao;V.V. Anh

  • Nonparametric Estimation and Forecasting for Time-Varying Coefficient Realized Volatility Models

    Xiangjin B. Chen;Jiti Gao;Degui Li;Param Silvapulle

  • Semiparametric Trending Panel Data Models with Cross-Sectional Dependence

    Jiti Gao;Jia Chen;Degui Li

Frequent Co-Authors

Dag Tjøstheim
Dag Tjøstheim University of Bergen
Peter C. B. Phillips
Peter C. B. Phillips Yale University
Oliver Linton
Oliver Linton University of Cambridge
Hua Liang
Hua Liang George Washington University
Howell Tong
Howell Tong London School of Economics and Political Science
Wolfgang Karl Härdle
Wolfgang Karl Härdle Humboldt-Universität zu Berlin
Cheng Hsiao
Cheng Hsiao University of Southern California
Vo Anh
Vo Anh Queensland University of Technology
Peter M. Robinson
Peter M. Robinson London School of Economics and Political Science
Peihua Qiu
Peihua Qiu University of Florida

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