Andreas Rott

556 total citations
17 papers, 306 citations indexed

About

Andreas Rott is a scholar working on Aerospace Engineering, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, Andreas Rott has authored 17 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aerospace Engineering, 10 papers in Environmental Engineering and 9 papers in Computational Mechanics. Recurrent topics in Andreas Rott's work include Wind Energy Research and Development (13 papers), Wind and Air Flow Studies (8 papers) and Fluid Dynamics and Vibration Analysis (6 papers). Andreas Rott is often cited by papers focused on Wind Energy Research and Development (13 papers), Wind and Air Flow Studies (8 papers) and Fluid Dynamics and Vibration Analysis (6 papers). Andreas Rott collaborates with scholars based in Germany, Netherlands and United States. Andreas Rott's co-authors include Martin Kühn, Gerald Steinfeld, Martin Dörenkämper, Jan‐Willem van Wingerden, Bart Doekemeijer, Lukas Vollmer, Vlaho Petrović‬, Sjoerd Boersma, Eric Simley and Michael Sinner and has published in prestigious journals such as Remote Sensing, Wind Energy and Wind energy science.

In The Last Decade

Andreas Rott

17 papers receiving 295 citations

Peers

Andreas Rott
Sicheng Wu United States
Eliot Quon United States
L. Folkerts Denmark
Christian Santoni United States
Lu Zhan United States
Sicheng Wu United States
Andreas Rott
Citations per year, relative to Andreas Rott Andreas Rott (= 1×) peers Sicheng Wu

Countries citing papers authored by Andreas Rott

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Rott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Rott

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Rott. A scholar is included among the top collaborators of Andreas Rott 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 Andreas Rott. Andreas Rott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Rott, Andreas, et al.. (2023). Wind vane correction during yaw misalignment for horizontal-axis wind turbines. Wind energy science. 8(11). 1755–1770. 1 indexed citations
2.
Rott, Andreas, et al.. (2023). Increased power gains from wake steering control using preview wind direction information. Wind energy science. 8(11). 1693–1710. 3 indexed citations
3.
Rott, Andreas, et al.. (2022). Alignment of scanning lidars in offshore wind farms. Wind energy science. 7(1). 283–297. 6 indexed citations
4.
Rott, Andreas, et al.. (2022). Observer-based power forecast of individual and aggregated offshore wind turbines. Wind energy science. 7(5). 2099–2116. 2 indexed citations
5.
Petrović‬, Vlaho, et al.. (2022). Turbine power loss during yaw-misaligned free field tests at different atmospheric conditions. Journal of Physics Conference Series. 2265(3). 32074–32074. 10 indexed citations
7.
Rott, Andreas, et al.. (2021). Alignment of scanning lidars in offshore wind farms. 3 indexed citations
8.
Rott, Andreas, et al.. (2021). Offshore wind farm global blockage measured with scanning lidar. Wind energy science. 6(2). 521–538. 49 indexed citations
10.
Rott, Andreas, et al.. (2020). Cluster wakes impact on a far-distant offshore wind farm's power. Wind energy science. 5(1). 29–49. 72 indexed citations
11.
Rott, Andreas, et al.. (2020). How much flow information can a turbine-mounted lidar capture?. Journal of Physics Conference Series. 1618(3). 32050–32050. 2 indexed citations
12.
Rott, Andreas, Vlaho Petrović‬, & Martin Kühn. (2020). Wind farm flow reconstruction and prediction from high frequency SCADA Data. Journal of Physics Conference Series. 1618(6). 62067–62067. 7 indexed citations
13.
Rott, Andreas, et al.. (2018). Robust active wake control in consideration of wind direction variability and uncertainty. Wind energy science. 3(2). 869–882. 57 indexed citations
14.
Rott, Andreas, et al.. (2018). Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes. Wind Energy. 21(11). 1011–1028. 62 indexed citations
15.
Steinfeld, Gerald, et al.. (2017). An analysis of offshore wind farm SCADA measurements to identify key parameters influencing the magnitude of wake effects. Wind energy science. 2(2). 477–490. 10 indexed citations
16.
Rott, Andreas, Sjoerd Boersma, Jan‐Willem van Wingerden, & Martin Kühn. (2017). Dynamic Flow Model for Real-Time Application in Wind Farm Control. Journal of Physics Conference Series. 854. 12039–12039. 11 indexed citations
17.
Steinfeld, Gerald, et al.. (2016). An analysis of offshore wind farm SCADA measurements to identify key parameters influencing the magnitude of wake effects. Journal of Physics Conference Series. 753. 32052–32052. 4 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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