Caroline Draxl

4.4k total citations · 1 hit paper
47 papers, 2.0k citations indexed

About

Caroline Draxl is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Caroline Draxl has authored 47 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 19 papers in Environmental Engineering. Recurrent topics in Caroline Draxl's work include Meteorological Phenomena and Simulations (31 papers), Climate variability and models (20 papers) and Wind and Air Flow Studies (19 papers). Caroline Draxl is often cited by papers focused on Meteorological Phenomena and Simulations (31 papers), Climate variability and models (20 papers) and Wind and Air Flow Studies (19 papers). Caroline Draxl collaborates with scholars based in United States, Denmark and United Kingdom. Caroline Draxl's co-authors include Bri‐Mathias Hodge, Jim McCaa, Andrew Clifton, Gregor Giebel, Michael Denhard, Georges Kariniotakis, Richard A. Brownsword, Andrea N. Hahmann, Alfredo Peña and Carlo Brancucci and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Journal of the Atmospheric Sciences.

In The Last Decade

Caroline Draxl

45 papers receiving 1.9k citations

Hit Papers

The Wind Integration National Dataset (WIND) Toolkit 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Draxl United States 21 1.0k 598 583 495 429 47 2.0k
Gregor Giebel Denmark 22 1.3k 1.3× 393 0.7× 762 1.3× 454 0.9× 249 0.6× 85 2.0k
Lars Landberg United Kingdom 23 1.2k 1.1× 479 0.8× 1.0k 1.7× 663 1.3× 326 0.8× 72 2.1k
Andrew Clifton United States 22 640 0.6× 589 1.0× 798 1.4× 581 1.2× 253 0.6× 46 1.8k
Stefano Alessandrini United States 28 1.1k 1.1× 957 1.6× 195 0.3× 559 1.1× 689 1.6× 92 2.6k
Massimiliano Burlando Italy 29 615 0.6× 855 1.4× 863 1.5× 1.5k 3.0× 379 0.9× 70 2.3k
Bernhard Lange Germany 19 1.3k 1.2× 229 0.4× 810 1.4× 543 1.1× 118 0.3× 63 2.1k
Athanasios Sfetsos Greece 20 722 0.7× 316 0.5× 239 0.4× 404 0.8× 369 0.9× 86 1.6k
Zhenru Shu China 20 314 0.3× 273 0.5× 650 1.1× 756 1.5× 151 0.4× 65 1.4k
Marc Calaf United States 25 328 0.3× 461 0.8× 1.2k 2.0× 1.5k 3.1× 395 0.9× 69 2.4k
Detlev Heinemann Germany 27 1.7k 1.6× 440 0.7× 501 0.9× 526 1.1× 635 1.5× 82 3.9k

Countries citing papers authored by Caroline Draxl

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Draxl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Draxl

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Draxl. A scholar is included among the top collaborators of Caroline Draxl 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 Caroline Draxl. Caroline Draxl 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.
Sheridan, Lindsay, Jiali Wang, Caroline Draxl, et al.. (2025). Performance of wind assessment datasets in United States coastal areas. Wind energy science. 10(8). 1551–1574. 1 indexed citations
2.
Kravitz, Ben, Caroline Draxl, Laura Vimmerstedt, et al.. (2024). Potential effects of climate change and solar radiation modification on renewable energy resources. Renewable and Sustainable Energy Reviews. 207. 114934–114934. 31 indexed citations
3.
Redfern, Stephanie, Mike Optis, Geng Xia, & Caroline Draxl. (2023). Offshore wind energy forecasting sensitivity to sea surface temperature input in the Mid-Atlantic. Wind energy science. 8(1). 1–23. 12 indexed citations
4.
Shaw, William J., Larry K. Berg, Mithu Debnath, et al.. (2022). Scientific challenges to characterizing the wind resource in the marine atmospheric boundary layer. Wind energy science. 7(6). 2307–2334. 21 indexed citations
5.
Xia, Geng, Caroline Draxl, Mike Optis, & Stephanie Redfern. (2022). Detecting and characterizing simulated sea breezes over the US northeastern coast with implications for offshore wind energy. Wind energy science. 7(2). 815–829. 12 indexed citations
6.
Bodini, Nicola, et al.. (2022). Can reanalysis products outperform mesoscale numerical weather prediction models in modeling the wind resource in simple terrain?. Wind energy science. 7(2). 487–504. 21 indexed citations
7.
Draxl, Caroline, Rochelle P. Worsnop, Geng Xia, et al.. (2021). Mountain waves can impact wind power generation. Wind energy science. 6(1). 45–60. 20 indexed citations
8.
Xia, Geng, Caroline Draxl, Mike Optis, & Stephanie Redfern. (2021). Detecting and Characterizing Sea Breezes Over the U.S. Northeast Coast with Implication for Offshore Wind Energy. 3 indexed citations
10.
King, Jennifer, Caroline Draxl, Rafael Mudafort, et al.. (2021). Design and analysis of a wake model for spatially heterogeneous flow. Wind energy science. 6(3). 737–758. 22 indexed citations
11.
King, Jennifer, Caroline Draxl, Rafael Mudafort, et al.. (2020). Design and analysis of a spatially heterogeneous wake. 6 indexed citations
12.
Maclaurin, Galen, et al.. (2020). US East Coast synthetic aperture radar wind atlas for offshore wind energy. Wind energy science. 5(3). 1191–1210. 24 indexed citations
13.
Shaw, William J., Larry K. Berg, Joël Cline, et al.. (2019). The Second Wind Forecast Improvement Project (WFIP2): General Overview. Bulletin of the American Meteorological Society. 100(9). 1687–1699. 59 indexed citations
14.
Mirocha, Jeffrey D., Matthew Churchfield, Domingo Muñoz‐Esparza, et al.. (2018). Large-eddy simulation sensitivities to variations of configuration and forcing parameters in canonical boundary-layer flows for wind energy applications. Wind energy science. 3(2). 589–613. 26 indexed citations
15.
Mirocha, Jeffrey D., Matthew Churchfield, Domingo Muñoz‐Esparza, et al.. (2017). Large-Eddy Simulation Sensitivities to Variations of Configuration and Forcing Parameters in Canonical Boundary-Layer Flows for Wind Energy Applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
16.
Brancucci, Carlo, Anthony Florita, Caroline Draxl, et al.. (2016). The value of day-ahead solar power forecasting improvement. Solar Energy. 129. 192–203. 158 indexed citations
17.
Hodge, Bri‐Mathias, et al.. (2013). Advancements in Wind Integration Study Input Data Modeling: The Wind Integration National Dataset (WIND) Toolkit. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
18.
Draxl, Caroline. (2012). On the Predictability of Hub Height Winds. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 5 indexed citations
19.
Draxl, Caroline, Andrea N. Hahmann, Alfredo Peña, & Gregor Giebel. (2012). Evaluating winds and vertical wind shear from Weather Research and Forecasting model forecasts using seven planetary boundary layer schemes. Wind Energy. 17(1). 39–55. 143 indexed citations
20.
Hahmann, Andrea N., et al.. (2011). Simulating the Vertical Structure of the Wind with the Weather Research and Forecasting (WRF) Model. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 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.

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