Alfredo Peña

5.6k total citations · 1 hit paper
149 papers, 3.5k citations indexed

About

Alfredo Peña is a scholar working on Environmental Engineering, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, Alfredo Peña has authored 149 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Environmental Engineering, 66 papers in Atmospheric Science and 66 papers in Aerospace Engineering. Recurrent topics in Alfredo Peña's work include Wind and Air Flow Studies (64 papers), Wind Energy Research and Development (63 papers) and Meteorological Phenomena and Simulations (57 papers). Alfredo Peña is often cited by papers focused on Wind and Air Flow Studies (64 papers), Wind Energy Research and Development (63 papers) and Meteorological Phenomena and Simulations (57 papers). Alfredo Peña collaborates with scholars based in Denmark, Germany and Spain. Alfredo Peña's co-authors include Sven‐Erik Gryning, Charlotte Bay Hasager, Andrea N. Hahmann, Pierre‐Elouan Réthoré, Jakob Mann, Rogier Floors, Søren Ott, P. van der Laan, Merete Badger and Michael Courtney and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Remote Sensing of Environment and Environmental Health Perspectives.

In The Last Decade

Alfredo Peña

137 papers receiving 3.3k citations

Hit Papers

Wind turbine wake models developed at the technical unive... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alfredo Peña Denmark 34 2.1k 1.8k 1.3k 658 627 149 3.5k
Jørgen Højstrup Denmark 24 1.8k 0.9× 1.5k 0.9× 839 0.6× 538 0.8× 651 1.0× 52 3.0k
Emil Simiu United States 30 853 0.4× 2.3k 1.3× 886 0.7× 542 0.8× 911 1.5× 173 3.9k
Julie K. Lundquist United States 49 3.5k 1.7× 4.2k 2.4× 3.4k 2.6× 2.4k 3.7× 1.4k 2.3× 199 7.1k
Shuyang Cao China 30 968 0.5× 1.7k 1.0× 859 0.7× 272 0.4× 1.2k 1.9× 142 2.6k
Yuncheng He China 27 425 0.2× 1.1k 0.6× 738 0.6× 276 0.4× 350 0.6× 131 2.2k
Giovanni Solari Italy 41 989 0.5× 3.7k 2.1× 1.5k 1.1× 616 0.9× 1.7k 2.6× 158 4.8k
A. G. Davenport Canada 31 1.3k 0.6× 3.7k 2.1× 896 0.7× 379 0.6× 1.9k 3.1× 103 5.6k
Jeroen van Beeck Belgium 26 842 0.4× 1.3k 0.7× 669 0.5× 303 0.5× 593 0.9× 112 2.2k
Kurtis R. Gurley United States 32 309 0.1× 1.8k 1.0× 916 0.7× 491 0.7× 398 0.6× 110 3.0k
Erik Lundtang Petersen Denmark 17 774 0.4× 711 0.4× 483 0.4× 331 0.5× 172 0.3× 53 1.5k

Countries citing papers authored by Alfredo Peña

Since Specialization
Citations

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

Fields of papers citing papers by Alfredo Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfredo Peña

This figure shows the co-authorship network connecting the top 25 collaborators of Alfredo Peña. A scholar is included among the top collaborators of Alfredo Peña 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 Alfredo Peña. Alfredo Peña 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.
Peña, Alfredo, et al.. (2025). On the lidar-turbulence paradox and possible countermeasures. Wind energy science. 10(1). 83–102. 1 indexed citations
2.
Hahmann, Andrea N., et al.. (2024). Evaluation of wind farm parameterizations in the WRF model under different atmospheric stability conditions with high-resolution wake simulations. Wind energy science. 9(4). 963–979. 10 indexed citations
3.
Angelou, Nikolas, et al.. (2024). Wind turbine power curve modelling under wake conditions using measurements from a spinner-mounted lidar. Applied Energy. 364. 122985–122985. 5 indexed citations
4.
Schlipf, David, et al.. (2023). Feedforward pitch control for a 15 MW wind turbine using a spinner-mounted single-beam lidar. Wind energy science. 8(12). 1893–1907. 2 indexed citations
5.
Rocadenbosch, Francesc, et al.. (2023). On the Retrieval of Surface-Layer Parameters from Lidar Wind-Profile Measurements. Remote Sensing. 15(10). 2660–2660. 2 indexed citations
6.
Peña, Alfredo, et al.. (2023). Dependence of turbulence estimations on nacelle lidar scanning strategies. Wind energy science. 8(5). 677–690. 2 indexed citations
7.
Peña, Alfredo, et al.. (2022). Turbulence statistics from three different nacelle lidars. Wind energy science. 7(2). 831–848. 12 indexed citations
8.
Mann, Jakob, et al.. (2022). The Space-Time Structure of Turbulence for Lidar-Assisted Wind Turbine Control. SSRN Electronic Journal.
9.
Peña, Alfredo, et al.. (2021). Lidar Observations and Numerical Simulations of an Atmospheric Hydraulic Jump and Mountain Waves. Journal of Geophysical Research Atmospheres. 126(4). 9 indexed citations
10.
Peña, Alfredo, et al.. (2021). Departure from Flux-Gradient Relation in the Planetary Boundary Layer. Atmosphere. 12(6). 672–672. 2 indexed citations
11.
Floors, Rogier, et al.. (2021). Towards Better Wind Resource Modeling in Complex Terrain: A k-Nearest Neighbors Approach. Energies. 14(14). 4364–4364. 4 indexed citations
12.
Peña, Alfredo & Jakob Mann. (2019). Turbulence Measurements with Dual-Doppler Scanning Lidars. Remote Sensing. 11(20). 2444–2444. 11 indexed citations
13.
Peña, Alfredo, Ebba Dellwik, & Jakob Mann. (2019). A method to assess the accuracy of sonic anemometer measurements. Atmospheric measurement techniques. 12(1). 237–252. 24 indexed citations
14.
Mann, Jakob, Alfredo Peña, Niels Troldborg, & Søren Juhl Andersen. (2018). How does turbulence change approaching a rotor?. Wind energy science. 3(1). 293–300. 19 indexed citations
15.
Peña, Alfredo, Jakob Mann, & Nikolay Dimitrov. (2017). Turbulence characterization from a forward-looking nacelle lidar. Wind energy science. 2(1). 133–152. 39 indexed citations
16.
Peña, Alfredo, et al.. (2016). The fence experiment – full-scale lidar-based shelter observations. Wind energy science. 1(2). 101–114. 10 indexed citations
17.
Göçmen, Tuhfe, P. van der Laan, Pierre‐Elouan Réthoré, et al.. (2016). Wind turbine wake models developed at the technical university of Denmark: A review. Renewable and Sustainable Energy Reviews. 60. 752–769. 256 indexed citations breakdown →
18.
Hasager, Charlotte Bay, et al.. (2013). Hub Height Ocean Winds over the North Sea Observed by the NORSEWInD Lidar Array: Measuring Techniques, Quality Control and Data Management. Remote Sensing. 5(9). 4280–4303. 46 indexed citations
19.
Badger, Jake, Andrea N. Hahmann, Xiaoli Guo Larsén, et al.. (2011). Comprehensive utilization of mesoscale modelling for wind energy applications. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).
20.
Larsen, Gunner Chr., Torben J. Larsen, Helge Aagaard Madsen, et al.. (2009). The dependence of wake losses on atmospheric stability characteristics. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 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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