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D-Index & Metrics

Economics and Finance

D-Index
63
Citations
16305
World Ranking
695
National Ranking
1

Rafał Weron 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 Rafał Weron 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: 241 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Rafał Weron 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 Rafał Weron 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: 63 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

Rafał Weron is affiliated with Wrocław University of Science and Technology in Poland. Their research primarily focuses on engineering, with a particular emphasis on electrical and electronic engineering. The scope of their work also extends into management science and operations research, economics and econometrics, renewable energy, sustainability, the environment, and marketing.

The main topics addressed in Weron's research include:

  • Energy Load and Power Forecasting
  • Electric Power System Optimization
  • Market Dynamics and Volatility
  • Energy Efficiency and Management
  • Image and Signal Denoising Methods
  • Facility Location and Emergency Management
  • Stock Market Forecasting Methods

Weron has contributed to several frequently cited research papers, including:

  • Energy Forecasting: A Review and Outlook, 2020, IEEE Open Access Journal of Power and Energy
  • Regularized quantile regression averaging for probabilistic electricity price forecasting, 2021, Energy Economics
  • Operational Research: methods and applications, 2023, Journal of the Operational Research Society
  • Electricity Price Forecasting: The Dawn of Machine Learning, 2022, IEEE Power and Energy Magazine
  • Energy Forecasting: A Review and Outlook, 2024, RePEc: Research Papers in Economics

The scientist collaborates frequently with several co-authors, including Grzegorz Marcjasz, Bartosz Uniejewski, Jesus Lago, Weronika Nitka, and Tao Hong. The ongoing partnerships with these co-authors are evident across multiple publications.

Weron's work is often published in venues such as arXiv (Cornell University), RePEc: Research Papers in Economics, IEEE Open Access Journal of Power and Energy, Energy Economics, and the Journal of the Operational Research Society.

Best Publications

  • Electricity price forecasting: A review of the state-of-the-art with a look into the future

    Rafał Weron

  • Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach

    Rafal Weron

  • Energy forecasting: A review and outlook

    Tao Hong;Pierre Pinson;Yi Wang;Rafał Weron

  • Estimating long-range dependence: finite sample properties and confidence intervals

    Rafał Weron

  • Recent advances in electricity price forecasting: A review of probabilistic forecasting

    Jakub Nowotarski;Rafał Weron

  • Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models

    Rafał Weron;Adam Misiorek

  • Statistical Tools for Finance and Insurance

    Pavel Cizek;Wolfgang Karl Härdle;Rafal Weron

  • On the Chambers-Mallows-Stuck method for simulating skewed stable random variables

    Rafał Weron

  • Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark

    Jesus Lago;Grzegorz Marcjasz;Bart De Schutter;Rafał Weron

  • Modeling electricity prices: jump diffusion and regime switching

    R Weron;M Bierbrauer;S Trück

  • Probabilistic Load Forecasting via Quantile Regression Averaging on Sister Forecasts

    Bidong Liu;Jakub Nowotarski;Tao Hong;Rafal Weron

  • Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models

    Adam Misiorek;Stefan Trueck;Rafal Weron

  • An empirical comparison of alternate regime-switching models for electricity spot prices

    Joanna Janczura;Rafal Weron

  • Identifying spikes and seasonal components in electricity spot price data: A guide to robust modeling

    Joanna Janczura;Stefan Trück;Rafał Weron;Rodney C. Wolff

  • Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks

    Florian Ziel;Rafał Weron

  • Modeling and Forecasting Electricity Loads and Prices

    Rafal ⁄ Weron

  • Levy-stable distributions revisited: tail index > 2 does not exclude the Levy-stable regime

    Rafał Weron

  • Market price of risk implied by Asian-style electricity options and futures☆

    Rafał Weron

  • Modeling electricity loads in California: ARMA models with hyperbolic noise

    J. Nowicka-Zagrajek;R. Weron

  • An empirical comparison of alternative schemes for combining electricity spot price forecasts

    Jakub Nowotarski;Eran Raviv;Stefan Trück;Rafał Weron

  • Statistical Tools in Finance and Insurance

    Pavel C´ıˇzek;Wolfgang H¨ardle;Rafal Weron

  • An empirical comparison of alternate regime-switching models or electricity spot prices

    Joanna Janczura;Rafał Weron

Frequent Co-Authors

Aleksander Weron
Aleksander Weron Wrocław University of Science and Technology
Wolfgang Karl Härdle
Wolfgang Karl Härdle Humboldt-Universität zu Berlin
Svetlozar T. Rachev
Svetlozar T. Rachev Texas Tech University
Bart De Schutter
Bart De Schutter Delft University of Technology
Hamidreza Zareipour
Hamidreza Zareipour University of Calgary
Dazhi Yang
Dazhi Yang Harbin Institute of Technology
Pierre Pinson
Pierre Pinson Technical University of Denmark

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