Nikolas Angelou

1.6k total citations
53 papers, 872 citations indexed

About

Nikolas Angelou is a scholar working on Environmental Engineering, Aerospace Engineering and Global and Planetary Change. According to data from OpenAlex, Nikolas Angelou has authored 53 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Environmental Engineering, 25 papers in Aerospace Engineering and 14 papers in Global and Planetary Change. Recurrent topics in Nikolas Angelou's work include Wind and Air Flow Studies (22 papers), Wind Energy Research and Development (20 papers) and Plant Water Relations and Carbon Dynamics (9 papers). Nikolas Angelou is often cited by papers focused on Wind and Air Flow Studies (22 papers), Wind Energy Research and Development (20 papers) and Plant Water Relations and Carbon Dynamics (9 papers). Nikolas Angelou collaborates with scholars based in Denmark, Norway and Tunisia. Nikolas Angelou's co-authors include Mikael Sjöholm, Jakob Mann, Torben Mikkelsen, Michael Harris, Ebba Dellwik, Michael Courtney, Lucy Y. Pao, Eric Simley, Klavs Hansen and P. van der Laan and has published in prestigious journals such as Journal of Fluid Mechanics, Applied Energy and Science Advances.

In The Last Decade

Nikolas Angelou

50 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikolas Angelou Denmark 17 586 530 247 135 119 53 872
Rozenn Wagner Denmark 15 680 1.2× 648 1.2× 176 0.7× 168 1.2× 198 1.7× 42 1.0k
Andreas Bechmann Denmark 19 865 1.5× 893 1.7× 540 2.2× 115 0.9× 105 0.9× 41 1.2k
Rick Damiani United States 18 462 0.8× 263 0.5× 238 1.0× 225 1.7× 123 1.0× 54 915
Benoît Gaurier France 20 1.0k 1.8× 188 0.4× 513 2.1× 64 0.5× 123 1.0× 55 1.3k
Antonio Segalini Sweden 24 737 1.3× 769 1.5× 906 3.7× 223 1.7× 67 0.6× 74 1.4k
Takafumi Nishino United Kingdom 21 1.2k 2.0× 480 0.9× 694 2.8× 47 0.3× 120 1.0× 63 1.5k
W.M.J. Batten United Kingdom 14 1.8k 3.2× 236 0.4× 573 2.3× 135 1.0× 332 2.8× 27 2.1k
Grégory Pinon France 13 828 1.4× 137 0.3× 448 1.8× 43 0.3× 85 0.7× 39 1.0k
Sandrine Aubrun France 19 978 1.7× 761 1.4× 772 3.1× 56 0.4× 54 0.5× 62 1.2k
Neil Kelley United States 23 895 1.5× 611 1.2× 218 0.9× 139 1.0× 380 3.2× 66 1.3k

Countries citing papers authored by Nikolas Angelou

Since Specialization
Citations

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

Fields of papers citing papers by Nikolas Angelou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolas Angelou

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolas Angelou. A scholar is included among the top collaborators of Nikolas Angelou 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 Nikolas Angelou. Nikolas Angelou 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.
Angelou, Nikolas, Mikael Sjöholm, & Torben Mikkelsen. (2025). Experimental characterization of complex atmospheric flows: A wind turbine wake case study. Science Advances. 11(47). eadw8524–eadw8524.
2.
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
3.
Angelou, Nikolas, Barry Gardiner, & Ebba Dellwik. (2024). Mean and maximum two dimensional wind force on an open-grown tree. Journal of Wind Engineering and Industrial Aerodynamics. 257. 105966–105966.
4.
Mann, Jakob, et al.. (2023). Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars. Atmospheric measurement techniques. 16(24). 6007–6023. 1 indexed citations
5.
Angelou, Nikolas, et al.. (2023). Revealing inflow and wake conditions of a 6 MW floating turbine. Wind energy science. 8(10). 1511–1531. 12 indexed citations
6.
Angelou, Nikolas, Jakob Mann, & Ebba Dellwik. (2022). Wind lidars reveal turbulence transport mechanism in the wake of a tree. Atmospheric chemistry and physics. 22(4). 2255–2268. 5 indexed citations
7.
Angelou, Nikolas & Mikael Sjöholm. (2022). Data Reliability Enhancement for Wind-Turbine-Mounted Lidars. Remote Sensing. 14(13). 3225–3225. 9 indexed citations
8.
Peña, Alfredo, et al.. (2022). A Motion-Correction Method for Turbulence Estimates from Floating Lidars. Remote Sensing. 14(23). 6065–6065. 6 indexed citations
9.
Angelou, Nikolas, Jakob Mann, & Ebba Dellwik. (2021). Scanning Doppler lidar measurements of drag force on a solitary tree. Journal of Fluid Mechanics. 917. 7 indexed citations
10.
Angelou, Nikolas, Ebba Dellwik, & Jakob Mann. (2019). Wind load estimation on an open-grown European oak tree. Forestry An International Journal of Forest Research. 92(4). 381–392. 22 indexed citations
11.
Laan, P. van der, Søren Juhl Andersen, Néstor Ramos‐García, et al.. (2019). Power curve and wake analyses of the Vestas multi-rotor demonstrator. Wind energy science. 4(2). 251–271. 58 indexed citations
12.
Vasiljević, Nikola, J. M. L. M. Palma, Nikolas Angelou, et al.. (2017). Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments. Atmospheric measurement techniques. 10(9). 3463–3483. 58 indexed citations
13.
Campagnolo, Filippo, et al.. (2017). Demonstration and uncertainty analysis of synchronised scanning lidar measurements of 2-D velocity fields in a boundary-layer wind tunnel. Wind energy science. 2(1). 329–341. 21 indexed citations
14.
Peña, Alfredo, et al.. (2016). The fence experiment – full-scale lidar-based shelter observations. Wind energy science. 1(2). 101–114. 10 indexed citations
15.
Simley, Eric, Nikolas Angelou, Torben Mikkelsen, et al.. (2016). Characterization of wind velocities in the upstream induction zone of a wind turbine using scanning continuous-wave lidars. Journal of Renewable and Sustainable Energy. 8(1). 79 indexed citations
16.
Machefaux, Ewan, Gunner Chr. Larsen, Niels Troldborg, et al.. (2015). Investigation of wake interaction using full‐scale lidar measurements and large eddy simulation. Wind Energy. 19(8). 1535–1551. 27 indexed citations
17.
Jakobsen, Jasna Bogunović, Etienne Cheynet, Jónas Snæbjörnsson, et al.. (2015). Assessment of Wind Conditions at a Fjord Inlet by Complementary Use of Sonic Anemometers and Lidars. Energy Procedia. 80. 411–421. 3 indexed citations
18.
Branlard, Emmanuel, Anders Tegtmeier Pedersen, Jakob Mann, et al.. (2013). Retrieving wind statistics from average spectrum of continuous-wave lidar. Atmospheric measurement techniques. 6(7). 1673–1683. 33 indexed citations
19.
Sjöholm, Mikael, et al.. (2013). Two-Dimensional Rotorcraft Downwash Flow Field Measurements by Lidar-Based Wind Scanners with Agile Beam Steering. Journal of Atmospheric and Oceanic Technology. 31(4). 930–937. 23 indexed citations
20.
Mikkelsen, Torben, et al.. (2012). A spinner‐integrated wind lidar for enhanced wind turbine control. Wind Energy. 16(4). 625–643. 108 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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