Jon Olauson

1.5k total citations · 1 hit paper
20 papers, 1.1k citations indexed

About

Jon Olauson is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Jon Olauson has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 9 papers in Aerospace Engineering and 3 papers in Environmental Engineering. Recurrent topics in Jon Olauson's work include Energy Load and Power Forecasting (13 papers), Integrated Energy Systems Optimization (10 papers) and Wind Energy Research and Development (9 papers). Jon Olauson is often cited by papers focused on Energy Load and Power Forecasting (13 papers), Integrated Energy Systems Optimization (10 papers) and Wind Energy Research and Development (9 papers). Jon Olauson collaborates with scholars based in Sweden, Malaysia and Ethiopia. Jon Olauson's co-authors include Mikael Bergkvist, Joakim Widén, David Lingfors, Valeria Castellucci, Rafael Waters, Nicole Carpman, Flore Rémouit, Mårten Grabbe, Lennart Söder and Jesper Rydén and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Nature Energy and Energy.

In The Last Decade

Jon Olauson

19 papers receiving 1.1k citations

Hit Papers

ERA5: The new champion of... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. ERA5: The new champion of wind power modelling?
    2018 366 citations Jon Olauson Renewable Energy profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jon Olauson 645 377 229 218 169 20 1.1k
Phil Coker 590 0.9× 275 0.7× 170 0.7× 189 0.9× 69 0.4× 28 956
Lueder von Bremen 749 1.2× 178 0.5× 191 0.8× 165 0.8× 135 0.8× 44 1.1k
Hannah Bloomfield 527 0.8× 136 0.4× 270 1.2× 368 1.7× 135 0.8× 49 954
Francisco J. Santos‐Alamillos 478 0.7× 201 0.5× 413 1.8× 493 2.3× 510 3.0× 28 1.2k
Jake Badger 590 0.9× 816 2.2× 655 2.9× 399 1.8× 117 0.7× 77 1.7k
Rui Chang 242 0.4× 153 0.4× 102 0.4× 85 0.4× 160 0.9× 16 698
Alain Ulazia 323 0.5× 584 1.5× 190 0.8× 105 0.5× 69 0.4× 66 1.1k
Françoise Thais 305 0.5× 230 0.6× 186 0.8× 282 1.3× 160 0.9× 6 815
Michael J. Dvorak 322 0.5× 199 0.5× 123 0.5× 92 0.4× 23 0.1× 11 588
A. S. Mikhail 409 0.6× 686 1.8× 111 0.5× 101 0.5× 139 0.8× 10 955

Countries citing papers authored by Jon Olauson

Since Specialization
Citations

This map shows the geographic impact of Jon Olauson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jon Olauson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Olauson more than expected).

Fields of papers citing papers by Jon Olauson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Olauson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jon Olauson. The network helps show where Jon Olauson may publish in the future.

Co-authorship network of co-authors of Jon Olauson

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Olauson. A scholar is included among the top collaborators of Jon Olauson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jon Olauson. Jon Olauson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Söder, Lennart, et al.. (2021). Modeling of Ethiopian Wind Power Production Using ERA5 Reanalysis Data. Energies. 14(9). 2573–2573. 30 indexed citations
2.
Kouveliotis‐Lysikatos, Iasonas, et al.. (2021). Open Nodal Power Flow Model of the Nordic Power System. 1 indexed citations
3.
Olauson, Jon, Marin Manuel, & Lennart Söder. (2020). Creating Power System Network Layouts: A Fast Parallel Algorithm. IEEE Systems Journal. 14(3). 3687–3694. 5 indexed citations
4.
Söder, Lennart, et al.. (2020). Curtailment analysis for the Nordic power system considering transmission capacity, inertia limits and generation flexibility. Renewable Energy. 152. 942–960. 42 indexed citations
5.
Åberg, Magnus, David Lingfors, Jon Olauson, & Joakim Widén. (2019). Can electricity market prices control power-to-heat production for peak shaving of renewable power generation? The case of Sweden. Energy. 176. 1–14. 27 indexed citations
6.
Dabar, Omar Assowe, et al.. (2019). Wind resource assessment and economic analysis for electricity generation in three locations of the Republic of Djibouti. Energy. 185. 884–894. 41 indexed citations
7.
Olauson, Jon, et al.. (2019). Exploring wind power prognosis data on Nord Pool: the case of Sweden and Denmark. IET Renewable Power Generation. 13(5). 690–702. 6 indexed citations
8.
Olauson, Jon. (2018). ERA5: The new champion of wind power modelling?. Renewable Energy. 126. 322–331. 366 indexed citations breakdown →
9.
Olauson, Jon, et al.. (2017). Wind turbine performance decline in Sweden. Wind Energy. 20(12). 2049–2053. 45 indexed citations
10.
Olauson, Jon, et al.. (2016). A New Approach to Obtain Synthetic Wind Power Forecasts for Integration Studies. Energies. 9(10). 800–800. 5 indexed citations
11.
Olauson, Jon, Hans Bergström, & Mikael Bergkvist. (2016). Restoring the missing high-frequency fluctuations in a wind power model based on reanalysis data. Renewable Energy. 96. 784–791. 14 indexed citations
12.
Olauson, Jon & Mikael Bergkvist. (2016). Correlation between wind power generation in the European countries. Energy. 114. 663–670. 27 indexed citations
13.
Olauson, Jon, Mikael Bergkvist, Nicole Carpman, et al.. (2016). Net load variability in Nordic countries with a highly or fully renewable power system. Nature Energy. 1(12). 110 indexed citations
14.
Olauson, Jon, Mikael Bergkvist, & Jesper Rydén. (2016). Simulating intra‐hourly wind power fluctuations on a power system level. Wind Energy. 20(6). 973–985. 8 indexed citations
15.
Olauson, Jon, et al.. (2015). Using the MIUU Model for Prediction of Mean Wind Speed at Low Height. Wind Engineering. 39(5). 507–517. 1 indexed citations
16.
Widén, Joakim, Nicole Carpman, Valeria Castellucci, et al.. (2015). Variability assessment and forecasting of renewables: A review for solar, wind, wave and tidal resources. Renewable and Sustainable Energy Reviews. 44. 356–375. 262 indexed citations
17.
Olauson, Jon, Hans Bergström, & Mikael Bergkvist. (2015). Scenarios and time series of future wind power production in Sweden. KTH Publication Database DiVA (KTH Royal Institute of Technology). 8 indexed citations
18.
Olauson, Jon. (2014). Stand-alone power systems. 3 indexed citations
19.
Olauson, Jon & Mikael Bergkvist. (2014). Modelling the Swedish wind power production using MERRA reanalysis data. Renewable Energy. 76. 717–725. 117 indexed citations
20.
Olauson, Jon, Anders Goude, & Mikael Bergkvist. (2014). Wind energy converters and photovoltaics for generation of electricity after natural disasters. Geografiska Annaler Series A Physical Geography. 97(1). 9–23. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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