Julia Gottschall

1.9k total citations
56 papers, 1.0k citations indexed

About

Julia Gottschall is a scholar working on Aerospace Engineering, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Julia Gottschall has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Aerospace Engineering, 28 papers in Environmental Engineering and 15 papers in Atmospheric Science. Recurrent topics in Julia Gottschall's work include Wind Energy Research and Development (36 papers), Wind and Air Flow Studies (18 papers) and Meteorological Phenomena and Simulations (15 papers). Julia Gottschall is often cited by papers focused on Wind Energy Research and Development (36 papers), Wind and Air Flow Studies (18 papers) and Meteorological Phenomena and Simulations (15 papers). Julia Gottschall collaborates with scholars based in Germany, Denmark and Sweden. Julia Gottschall's co-authors include Joachim Peinke, Michael Courtney, Rozenn Wagner, Jakob Mann, Ameya Sathe, Martin Dörenkämper, Bernhard Lange, Ines Würth, Björn Witha and Hans Ejsing Jørgensen and has published in prestigious journals such as Physics Letters A, Remote Sensing and Environmental Research Letters.

In The Last Decade

Julia Gottschall

50 papers receiving 959 citations

Author Peers

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

Author Last Decade Papers Cites
Julia Gottschall 591 517 310 214 192 56 1.0k
Rozenn Wagner 680 1.2× 648 1.3× 274 0.9× 168 0.8× 198 1.0× 42 1.0k
Martin Dörenkämper 547 0.9× 423 0.8× 341 1.1× 166 0.8× 135 0.7× 40 782
Ferhat Bingöl 654 1.1× 587 1.1× 209 0.7× 136 0.6× 89 0.5× 35 943
Gerald Steinfeld 634 1.1× 614 1.2× 276 0.9× 215 1.0× 121 0.6× 44 940
R.I. Harris 354 0.6× 791 1.5× 285 0.9× 277 1.3× 121 0.6× 36 1.1k
Oleg A. Krasnov 556 0.9× 83 0.2× 372 1.2× 329 1.5× 179 0.9× 110 1.0k
D.M. Deaves 331 0.6× 469 0.9× 174 0.6× 118 0.6× 52 0.3× 33 769
A. Martinez 372 0.6× 158 0.3× 91 0.3× 121 0.6× 159 0.8× 26 850
Paula Doubrawa 329 0.6× 246 0.5× 133 0.4× 74 0.3× 64 0.3× 41 478
Dongkai Yang 338 0.6× 363 0.7× 194 0.6× 40 0.2× 140 0.7× 126 753

Countries citing papers authored by Julia Gottschall

Since Specialization
Citations

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

Fields of papers citing papers by Julia Gottschall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Gottschall

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Gottschall. A scholar is included among the top collaborators of Julia Gottschall 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 Julia Gottschall. Julia Gottschall 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.
Hasager, Charlotte Bay, et al.. (2025). Ship-based lidar measurements for validating ASCAT-derived and ERA5 offshore wind profiles. Atmospheric measurement techniques. 18(19). 4949–4968.
2.
Gottschall, Julia, et al.. (2025). Characterization of local wind profiles: a random forest approach for enhanced wind profile extrapolation. Wind energy science. 10(1). 143–159.
3.
Meyer, P., et al.. (2024). Collocating wind data: A case study on the verification of the CERRA dataset. Journal of Physics Conference Series. 2875(1). 12016–12016. 2 indexed citations
4.
Meyer, P., et al.. (2024). The rotor as a sensor – observing shear and veer from the operational data of a large wind turbine. Wind energy science. 9(6). 1419–1429. 1 indexed citations
5.
Jenkins, Alastair D., et al.. (2024). Evaluating the Performance of Pulsed and Continuous-Wave Lidar Wind Profilers with a Controlled Motion Experiment. Remote Sensing. 16(17). 3191–3191. 2 indexed citations
6.
Gottschall, Julia, et al.. (2024). Understanding the impact of data gaps on long-term offshore wind resource estimates. Wind energy science. 9(11). 2217–2233. 1 indexed citations
7.
Meyer, P., et al.. (2024). Development of a Load Model Validation Framework Applied to Synthetic Turbulent Wind Field Evaluation. Energies. 17(4). 797–797. 2 indexed citations
8.
Gottschall, Julia, et al.. (2024). Comparison of line-of-sight wind speed measurements from an X-band radar and a long-range scanning lidar. Journal of Physics Conference Series. 2767(4). 42030–42030. 1 indexed citations
9.
Meyer, P., et al.. (2024). Constrained synthetic wind fields from high-resolution 3D WindScanner measurements. Journal of Physics Conference Series. 2767(4). 42036–42036.
10.
Young, Michael E., et al.. (2024). Comparison of classical and drone based hard-target methodologies applied to scanning lidar for offshore wind. Journal of Physics Conference Series. 2875(1). 12041–12041.
11.
Meyer, P., Johannes N. Theron, Philipp Thomas, et al.. (2024). Validating low- and high-fidelity simulations of a yawed 8 MW wind turbine against measurements. Journal of Physics Conference Series. 2767(2). 22038–22038.
12.
Gottschall, Julia, et al.. (2023). Quantification and correction of motion influence for nacelle-based lidar systems on floating wind turbines. Wind energy science. 8(6). 925–946. 5 indexed citations
13.
Gottschall, Julia, et al.. (2023). Machine learning for predicting offshore vertical wind profiles. Journal of Physics Conference Series. 2626(1). 12023–12023. 3 indexed citations
14.
Gottschall, Julia, et al.. (2023). Comparing scanning lidar configurations for wake measurements based on the reduction of associated measurement uncertainties. Journal of Physics Conference Series. 2505(1). 12031–12031. 1 indexed citations
15.
Yu, Zhongjie, et al.. (2022). Enabling Virtual Met Masts for wind energy applications through machine learning-methods. Energy and AI. 11. 100209–100209. 11 indexed citations
16.
Kühn, Martin, et al.. (2022). Evaluation of low-level jets in the southern Baltic Sea: a comparison between ship-based lidar observational data and numerical models. Wind energy science. 7(6). 2433–2455. 14 indexed citations
17.
Gottschall, Julia & Martin Dörenkämper. (2021). Understanding and mitigating the impact of data gaps on offshore wind resource estimates. Wind energy science. 6(2). 505–520. 11 indexed citations
18.
Dörenkämper, Martin, Bjarke Tobias Olsen, Björn Witha, et al.. (2020). The Making of the New European Wind Atlas – Part 2: Production and evaluation. Geoscientific model development. 13(10). 5079–5102. 119 indexed citations
19.
Witha, Björn, Martin Dörenkämper, Helmut Frank, et al.. (2019). 1.7_Witha: The NEWA Ferry Lidar Benchmark: Comparing mesoscale models with lidar measurements along a ship route. Figshare. 2 indexed citations
20.
Pauscher, Lukas, Nikola Vasiljević, Doron Callies, et al.. (2016). An Inter-Comparison Study of Multi- and DBS Lidar Measurements in Complex Terrain. Remote Sensing. 8(9). 782–782. 52 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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