Julie K. Lundquist

13.2k total citations
199 papers, 7.1k citations indexed

About

Julie K. Lundquist is a scholar working on Environmental Engineering, Aerospace Engineering and Atmospheric Science. According to data from OpenAlex, Julie K. Lundquist has authored 199 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Environmental Engineering, 118 papers in Aerospace Engineering and 104 papers in Atmospheric Science. Recurrent topics in Julie K. Lundquist's work include Wind and Air Flow Studies (136 papers), Wind Energy Research and Development (111 papers) and Meteorological Phenomena and Simulations (99 papers). Julie K. Lundquist is often cited by papers focused on Wind and Air Flow Studies (136 papers), Wind Energy Research and Development (111 papers) and Meteorological Phenomena and Simulations (99 papers). Julie K. Lundquist collaborates with scholars based in United States, Germany and Denmark. Julie K. Lundquist's co-authors include Branko Kosović, Sonia Wharton, Jeffrey D. Mirocha, Robert M. Banta, Matthew Aitken, Joseph B. Olson, Anna C. Fitch, Rob Newsom, Yelena L. Pichugina and Andrew Clifton and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Scientific Reports and Journal of Climate.

In The Last Decade

Julie K. Lundquist

189 papers receiving 6.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julie K. Lundquist United States 49 4.2k 3.5k 3.4k 2.4k 1.4k 199 7.1k
Pak Wai Chan China 43 3.9k 0.9× 1.7k 0.5× 3.9k 1.2× 2.5k 1.0× 533 0.4× 506 7.6k
Jakob Mann Denmark 43 4.4k 1.1× 3.8k 1.1× 2.0k 0.6× 1.7k 0.7× 2.4k 1.7× 250 7.0k
Branko Kosović United States 36 2.3k 0.6× 975 0.3× 2.5k 0.7× 1.8k 0.8× 1.5k 1.0× 140 4.5k
Fernando Porté‐Agel Switzerland 62 8.5k 2.0× 9.4k 2.7× 1.4k 0.4× 1.1k 0.5× 6.0k 4.2× 199 12.4k
Alfredo Peña Denmark 34 1.8k 0.4× 2.1k 0.6× 1.3k 0.4× 658 0.3× 627 0.4× 149 3.5k
N.O. Jensen Denmark 31 1.5k 0.4× 1.5k 0.4× 1.2k 0.4× 1.6k 0.7× 631 0.4× 84 4.1k
Jørgen Højstrup Denmark 24 1.5k 0.4× 1.8k 0.5× 839 0.2× 538 0.2× 651 0.5× 52 3.0k
Stefan Emeis Germany 35 1.8k 0.4× 1.1k 0.3× 2.3k 0.7× 1.7k 0.7× 285 0.2× 160 3.8k
Søren Ejling Larsen Denmark 31 1.4k 0.3× 1.4k 0.4× 1.4k 0.4× 998 0.4× 574 0.4× 100 3.7k
Robert M. Banta United States 46 3.0k 0.7× 852 0.2× 5.0k 1.5× 4.2k 1.7× 881 0.6× 120 6.6k

Countries citing papers authored by Julie K. Lundquist

Since Specialization
Citations

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

Fields of papers citing papers by Julie K. Lundquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julie K. Lundquist. 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 Julie K. Lundquist. The network helps show where Julie K. Lundquist may publish in the future.

Co-authorship network of co-authors of Julie K. Lundquist

This figure shows the co-authorship network connecting the top 25 collaborators of Julie K. Lundquist. A scholar is included among the top collaborators of Julie K. Lundquist 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 Julie K. Lundquist. Julie K. Lundquist 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
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Bodini, Nicola, Patrick Moriarty, Stefano Letizia, et al.. (2025). A perspective on lessons learned and future needs for wind energy field campaigns. Journal of Renewable and Sustainable Energy. 17(3).
3.
Lundquist, Julie K., et al.. (2025). Simulations suggest offshore wind farms modify low-level jets. Wind energy science. 10(1). 117–142. 6 indexed citations
4.
Lundquist, Julie K., et al.. (2025). Simulated meteorological impacts of offshore wind turbines and sensitivity to the amount of added turbulence kinetic energy. Wind energy science. 10(7). 1269–1301. 2 indexed citations
5.
6.
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
7.
Letizia, Stefano, et al.. (2024). Tilted lidar profiling: Development and testing of a novel scanning strategy for inhomogeneous flows. Journal of Renewable and Sustainable Energy. 16(4). 5 indexed citations
8.
Lundquist, Julie K., et al.. (2024). Influences of lidar scanning parameters on wind turbine wake retrievals in complex terrain. Wind energy science. 9(10). 1905–1922. 3 indexed citations
9.
Veers, Paul, Katherine Dykes, Sukanta Basu, et al.. (2022). Grand Challenges: wind energy research needs for a global energy transition. Wind energy science. 7(6). 2491–2496. 32 indexed citations
10.
Bodini, Nicola, Julie K. Lundquist, & Mike Optis. (2020). Can machine learning improve the model representation of TKE dissipation rate in the boundary layer for complex terrain?. 1 indexed citations
11.
Murphy, Patrick C., Julie K. Lundquist, & Paul Fleming. (2020). How wind speed shear and directional veer affect the power production of a megawatt-scale operational wind turbine. Wind energy science. 5(3). 1169–1190. 32 indexed citations
12.
Mazzaro, Laura Jin, Eunmo Koo, Domingo Muñoz‐Esparza, Julie K. Lundquist, & Rodman Linn. (2019). Random Force Perturbations: A New Extension of the Cell Perturbation Method for Turbulence Generation in Multiscale Atmospheric Boundary Layer Simulations. Journal of Advances in Modeling Earth Systems. 11(7). 2311–2329. 8 indexed citations
13.
Bianco, Laura, Irina V. Djalalova, James M. Wilczak, et al.. (2019). Impact of model improvements on 80 m wind speeds during the second Wind Forecast Improvement Project (WFIP2). Geoscientific model development. 12(11). 4803–4821. 25 indexed citations
14.
Worsnop, Rochelle P., Michael Scheuerer, Thomas M. Hamill, & Julie K. Lundquist. (2018). Generating wind power scenarios for probabilistic ramp event prediction using multivariate statistical post-processing. 1 indexed citations
15.
Churchfield, Matthew, et al.. (2014). Large-Eddy Simulations of Wind Turbine Wakes Subject to Different Atmospheric Stabilities. AGU Fall Meeting Abstracts. 2014. 2 indexed citations
16.
Fitch, Anna C., Joseph B. Olson, & Julie K. Lundquist. (2012). Representation of Wind Farms in Climate Models. AGUFM. 2012. 3 indexed citations
17.
Schreck, Scott, Julie K. Lundquist, & William J. Shaw. (2008). Research Needs for Wind Resource Characterization. AGU Fall Meeting Abstracts. 2008. 7 indexed citations
18.
Lundquist, Katherine A., et al.. (2008). Imposing land-surface fluxes at an immersed boundary for improved simulations of atmospheric flow over complex terrain. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
19.
Woodward, Carol S., et al.. (2008). Wind Energy Resource Assessment Using Coupled Groundwater-Land-Surface Atmospheric Models. AGU Fall Meeting Abstracts. 2008. 2 indexed citations
20.
Lundquist, Julie K., Fotini Katopodes Chow, Jeffrey D. Mirocha, & Katherine A. Lundquist. (2007). An improved WRF for urban-scale and complex-terrain applications. University of North Texas Digital Library (University of North Texas). 2 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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