World's Best Scientists 2026 revealed!
Dag Tjøstheim

Dag Tjøstheim

Award Badge
Mathematics
Norway
2026

D-Index & Metrics

Mathematics

D-Index
47
Citations
8049
World Ranking
1285
National Ranking
9

Dag Tjøstheim 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 Dag Tjøstheim 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: 178 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Dag Tjøstheim 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 Dag Tjøstheim 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: 47 D-Index — 66th percentile

66% 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

  • 2026 - Research.com Mathematics in Norway Leader Award
  • 2025 - Research.com Mathematics in Norway Leader Award

Overview

Dag Tjøstheim is affiliated with the University of Bergen in Norway. Their research spans several fields of study, including Economics, Econometrics and Finance, Mathematics, and Computer Science.

Their work covers various subfields such as Statistics and Probability, Economics and Econometrics, Finance, Artificial Intelligence, and Analytical Chemistry. The main topics of research include Financial Risk and Volatility Modeling, Complex Systems and Time Series Analysis, Statistical Methods and Inference, Advanced Statistical Methods and Models, Bayesian Methods and Mixture Models, Spectroscopy and Chemometric Analyses, and Market Dynamics and Volatility.

Recent papers authored or coauthored by Dag Tjøstheim include:

  • Statistical Dependence: Beyond Pearson's ρ, 2022, Statistical Science
  • Some notes on nonlinear cointegration: A partial review with some novel perspectives, 2020, Econometric Reviews
  • The Locally Gaussian Partial Correlation, 2021, Journal of Business and Economic Statistics
  • The Measurement Error Of Marine Survey Catches: The Bottom Trawl Case, 2024, AquaDocs (United Nations Educational, Scientific and Cultural Organization)
  • Pairwise local Fisher and naive Bayes: Improving two standard discriminants, 2020, Journal of Econometrics

Frequent co-authors collaborating with Dag Tjøstheim include:

  • Håkon Otneim
  • Bård Støve
  • Martin Jullum
  • Jiti Gao
  • Anders Løland

The scientist's publications often appear in venues such as:

  • RePEc: Research Papers in Economics
  • arXiv (Cornell University)
  • Statistical Science
  • Entropy
  • Journal of Econometrics

Best Publications

  • Modelling nonlinear economic time series

    Timo Teräsvirta;Dag Tjøstheim;Clive W. J. Granger

  • Poisson Autoregression

    Unknown

  • Nonparametric Estimation and Identification of Nonlinear ARCH Time Series Strong Convergence and Asymptotic Normality: Strong Convergence and Asymptotic Normality

    Elias Masry;Dag Tjøstheim

  • A Cautionary Note on the Use of the Kolmogorov–Smirnov Test for Normality

    Dag J. Steinskog;Dag B. Tjøstheim;Nils G. Kvamstø

  • Log-linear Poisson autoregression

    Konstantinos Fokianos;Dag Tjøstheim

  • Nonparametric Identification of Nonlinear Time Series: Projections

    Unknown

  • Nonparametric Estimation in a Nonlinear Cointegration Type Model

    Hans Arnfinn Karlsen;Terje Myklebust;Dag Tjøstheim

  • Nonparametric estimation in null recurrent time series

    Hans Arnfinn Karlsen;Dag Tjøstheim

  • ‘Bias of some commonly-used time series estimates’

    Dag Tjøstheim;Jostein Paulsen

  • Nonparametric Estimation and Testing of Interaction in Additive Models

    Stefan Andréas Sperlich;D. Tjostheim;L. Yang

  • Nonparametric tests of linearity for time series

    Vidar Hjellvik;Dag Tjøstheim

  • Statistical spatial series modelling

    Unknown

  • Estimation in nonlinear time series models

    Unknown

  • Linearity testing using local polynomial approximation

    Vidar Hjellvik;Qiwei Yao;Dag Tjøstheim

  • Nonparametric Identification of Nonlinear Time Series: Selecting Significant Lags

    Dag Tjøstheim;Bjørn H. Auestad

  • Additive Nonlinear ARX Time Series and Projection Estimates

    Elias Masry;Dag Tjøstheim

  • On weak dependence conditions for Poisson autoregressions

    Paul Doukhan;Konstantinos Fokianos;Dag Tjøstheim

  • Local Gaussian correlation: A new measure of dependence

    Dag Tjøstheim;Karl Ove Hufthammer

  • A nonparametric test of serial independence based on the empirical distribution function

    Unknown

  • Nonlinear Poisson autoregression

    Konstantinos Fokianos;Dag Tjøstheim

  • ASPECTS OF MODELLING NONLINEAR TIME SERIES

    Timo Teräsvirta;Dag Tjøstheim;Clive W J Granger

  • Estimation in Semiparametric Spatial Regression

    Jiti Gao;Zudi Lu;Dag Tjostheim

  • Specification testing in nonlinear and nonstationary time series autoregression

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

  • Chapter 48 Aspects of modelling nonlinear time series

    Timo Teräsvirta;Dag Tjøstheim;Clive W.J. Granger

  • NOTES AND CORRESPONDENCE A Cautionary Note on the Use of the Kolmogorov-Smirnov Test for Normality

    Dag J. Steinskog;Dag B. Tjøstheim;Nils G. Kvamstø

Frequent Co-Authors

Jiti Gao
Jiti Gao Monash University
Timo Teräsvirta
Timo Teräsvirta Aarhus University
Qiwei Yao
Qiwei Yao London School of Economics and Political Science
Olav Rune Godø
Olav Rune Godø Norwegian Institute of Marine Research
Konstantinos Fokianos
Konstantinos Fokianos University of Cyprus
Douglas Nychka
Douglas Nychka Colorado School of Mines
Elias Masry
Elias Masry University of California, San Diego
Howell Tong
Howell Tong London School of Economics and Political Science
Clive W. J. Granger
Clive W. J. Granger University of California, San Diego
Benjamin M. Bolker
Benjamin M. Bolker McMaster University

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

For students pursuing Mathematics in the USA, exploring related online degrees can open diverse career pathways. For instance, a masters in digital marketing combines analytical skills with marketing expertise, ideal for data-driven decision-making roles.

For those interested in expanding their business acumen quickly, the availability of cheapest 1 year online mba programs offers an accelerated path to leadership positions. These programs often provide flexibility without compromising on quality.

Transferring credits between MBA programs can also be a practical consideration. Understanding how can you transfer mba programs works ensures smoother academic progress and better alignment with career goals.

Moreover, a masters data analytics is a highly complementary degree, as it builds on mathematical foundations to analyze big data, fueling growth in fields like finance, healthcare, and technology.

Best Scientists Citing Dag Tjøstheim

Trending Scientists

Recently Published Articles