Stefan Ivanell

2.6k total citations
87 papers, 1.6k citations indexed

About

Stefan Ivanell is a scholar working on Aerospace Engineering, Computational Mechanics and Environmental Engineering. According to data from OpenAlex, Stefan Ivanell has authored 87 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Aerospace Engineering, 53 papers in Computational Mechanics and 47 papers in Environmental Engineering. Recurrent topics in Stefan Ivanell's work include Wind Energy Research and Development (64 papers), Fluid Dynamics and Vibration Analysis (50 papers) and Wind and Air Flow Studies (47 papers). Stefan Ivanell is often cited by papers focused on Wind Energy Research and Development (64 papers), Fluid Dynamics and Vibration Analysis (50 papers) and Wind and Air Flow Studies (47 papers). Stefan Ivanell collaborates with scholars based in Sweden, Denmark and Germany. Stefan Ivanell's co-authors include Jens Nørkær Sørensen, Robert Mikkelsen, Dan S. Henningson, Sasan Sarmast, Simon‐Philippe Breton, Karl Nilsson, Søren Juhl Andersen, Kurt Schaldemose Hansen, Jan‐Åke Dahlberg and Davide Medici and has published in prestigious journals such as Journal of Fluid Mechanics, Renewable Energy and Physics of Fluids.

In The Last Decade

Stefan Ivanell

80 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stefan Ivanell Sweden 18 1.4k 958 945 181 120 87 1.6k
Giacomo Valerio Iungo United States 23 1.1k 0.8× 1.0k 1.1× 788 0.8× 159 0.9× 162 1.4× 73 1.5k
Niels Troldborg Denmark 26 2.4k 1.7× 1.8k 1.8× 1.4k 1.5× 230 1.3× 71 0.6× 82 2.6k
Luis A. Martínez‐Tossas United States 21 2.0k 1.5× 1.3k 1.4× 1.2k 1.3× 258 1.4× 45 0.4× 59 2.1k
Sina Shamsoddin Switzerland 9 973 0.7× 701 0.7× 474 0.5× 140 0.8× 43 0.4× 9 1.1k
Antonio Segalini Sweden 24 737 0.5× 769 0.8× 906 1.0× 67 0.4× 88 0.7× 74 1.4k
Søren Juhl Andersen Denmark 16 788 0.6× 513 0.5× 413 0.4× 142 0.8× 33 0.3× 60 873
Ganesh Vijayakumar United States 12 518 0.4× 379 0.4× 360 0.4× 91 0.5× 107 0.9× 61 751
E. S. Politis Greece 13 1.1k 0.8× 776 0.8× 539 0.6× 180 1.0× 41 0.3× 27 1.2k
Eric Simley United States 23 1.3k 1.0× 734 0.8× 351 0.4× 582 3.2× 59 0.5× 59 1.5k
E. Migoya Spain 12 1.0k 0.7× 709 0.7× 479 0.5× 160 0.9× 27 0.2× 17 1.1k

Countries citing papers authored by Stefan Ivanell

Since Specialization
Citations

This map shows the geographic impact of Stefan Ivanell'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 Stefan Ivanell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Ivanell more than expected).

Fields of papers citing papers by Stefan Ivanell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Ivanell. 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 Stefan Ivanell. The network helps show where Stefan Ivanell may publish in the future.

Co-authorship network of co-authors of Stefan Ivanell

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Ivanell. A scholar is included among the top collaborators of Stefan Ivanell 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 Stefan Ivanell. Stefan Ivanell 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.
Bastankhah, Majid, et al.. (2024). A fast-running physics-based wake model for a semi-infinite wind farm. Journal of Fluid Mechanics. 985. 8 indexed citations
2.
Ivanell, Stefan, Heiner Körnich, Ville Vakkari, et al.. (2024). Machine learning methods to improve spatial predictions of coastal wind speed profiles and low-level jets using single-level ERA5 data. Wind energy science. 9(4). 821–840. 7 indexed citations
3.
Forsting, Alexander Meyer, et al.. (2023). On the accuracy of predicting wind-farm blockage. Renewable Energy. 214. 114–129. 1 indexed citations
4.
Körnich, Heiner, et al.. (2023). A Single-Column Method to Identify Sea and Land Breezes in Mesoscale-Resolving NWP Models. Weather and Forecasting. 38(6). 1025–1039. 1 indexed citations
5.
Korb, H., et al.. (2023). How Fast is Fast Enough? Industry Perspectives on the Use of Large-eddy Simulation in Wind Energy. Journal of Physics Conference Series. 2505(1). 12001–12001. 4 indexed citations
6.
Ivanell, Stefan, et al.. (2023). Brief communication: On the definition of the low-level jet. Wind energy science. 8(11). 1651–1658. 8 indexed citations
7.
Otero, Alejandro D., et al.. (2023). Actuator line model using simplified force calculation methods. Wind energy science. 8(3). 363–382. 9 indexed citations
8.
Korb, H., et al.. (2023). Validation of a Lattice Boltzmann Solver Against Wind Turbine Response and Wake Measurements. Journal of Physics Conference Series. 2505(1). 12008–12008. 1 indexed citations
9.
Ivanell, Stefan, et al.. (2021). The smoother the better? A comparison of six post-processing methods to improve short-term offshore wind power forecasts in the Baltic Sea. Wind energy science. 6(5). 1205–1226. 3 indexed citations
10.
Andersen, Søren Juhl, Simon‐Philippe Breton, Björn Witha, Stefan Ivanell, & Jens Nørkær Sørensen. (2020). Global trends in the performance of large wind farms based on high-fidelity simulations. Wind energy science. 5(4). 1689–1703. 12 indexed citations
11.
Andersen, Søren Juhl, Simon‐Philippe Breton, Björn Witha, Stefan Ivanell, & Jens Nørkær Sørensen. (2020). Global Trends of Large Wind Farm Performance based on High Fidelity Simulations. 1 indexed citations
12.
Ivanell, Stefan, et al.. (2020). Actuator line simulations of wind turbine wakes using the lattice Boltzmann method. Wind energy science. 5(2). 623–645. 33 indexed citations
13.
Polatidis, Heracles, et al.. (2018). Wind farm power production assessment: a comparative analysis of two actuator disc methods and two analytical wake models. KTH Publication Database DiVA (KTH Royal Institute of Technology). 9 indexed citations
14.
Ivanell, Stefan, et al.. (2018). Micro-scale model comparison (benchmark) at the moderately complex forested site Ryningsnäs. Wind energy science. 3(2). 929–946. 18 indexed citations
15.
Breton, Simon‐Philippe, et al.. (2017). Validation of the actuator disc approach using small-scale model wind turbines. Wind energy science. 2(2). 587–601. 12 indexed citations
16.
Polatidis, Heracles & Stefan Ivanell. (2014). Micro-siting/positioning of wind turbines : introducing a multi-criteria decision analysis framework. KTH Publication Database DiVA (KTH Royal Institute of Technology). 30(5). 23–27. 1 indexed citations
17.
Sarmast, Sasan, Robert Mikkelsen, Philipp Schlatter, et al.. (2014). Mutual inductance instability of the tip vortices behind a wind turbine. Journal of Fluid Mechanics. 755. 705–731. 144 indexed citations
18.
Nilsson, Karl, Simon‐Philippe Breton, Stefan Ivanell, & Dan S. Henningson. (2013). Large-eddy simulations of the Lillgrund wind farm. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
19.
Ivanell, Stefan, Jens Nørkær Sørensen, Robert Mikkelsen, Niels Troldborg, & V. L. Okulov. (2011). Simulation and Modelling of Turbulent Wind Fields in Wind Farms : DTU Mechanical Engineering contribution to TOPFARM Work Package 1. 1 indexed citations
20.
Ivanell, Stefan, Robert Mikkelsen, & Dan S. Henningson. (2009). Actuator disc modelling of wake interaction in Horns Rev wind farm. Wind Energy. 17(3). 461–465. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Giacomo Valerio Iungo Breakdown of academic impact, for papers by Niels Troldborg Breakdown of academic impact, for papers by Luis A. Martínez‐Tossas Breakdown of academic impact, for papers by Sina Shamsoddin Breakdown of academic impact, for papers by Antonio Segalini Breakdown of academic impact, for papers by Søren Juhl Andersen Breakdown of academic impact, for papers by Ganesh Vijayakumar Breakdown of academic impact, for papers by E. S. Politis Breakdown of academic impact, for papers by Eric Simley Breakdown of academic impact, for papers by E. Migoya
Rankless by CCL
2026