Rick Damiani

1.6k total citations
54 papers, 915 citations indexed

About

Rick Damiani is a scholar working on Aerospace Engineering, Computational Mechanics and Environmental Engineering. According to data from OpenAlex, Rick Damiani has authored 54 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Aerospace Engineering, 22 papers in Computational Mechanics and 19 papers in Environmental Engineering. Recurrent topics in Rick Damiani's work include Wind Energy Research and Development (31 papers), Fluid Dynamics and Vibration Analysis (20 papers) and Wind and Air Flow Studies (18 papers). Rick Damiani is often cited by papers focused on Wind Energy Research and Development (31 papers), Fluid Dynamics and Vibration Analysis (20 papers) and Wind and Air Flow Studies (18 papers). Rick Damiani collaborates with scholars based in United States, Germany and Italy. Rick Damiani's co-authors include Samuel Haimov, Andrew Ning, Gabor Vali, Jason Jonkman, Katherine Dykes, Patrick Moriarty, Bart Geerts, Lucy Y. Pao, Paul Fleming and Huimin Song and has published in prestigious journals such as Applied Energy, IEEE Transactions on Geoscience and Remote Sensing and Journal of the Atmospheric Sciences.

In The Last Decade

Rick Damiani

53 papers receiving 886 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rick Damiani United States 18 462 263 238 226 225 54 915
Neil Kelley United States 23 895 1.9× 611 2.3× 218 0.9× 226 1.0× 139 0.6× 66 1.3k
Wim Bierbooms Netherlands 16 443 1.0× 375 1.4× 168 0.7× 107 0.5× 50 0.2× 39 655
Peng Huang China 16 227 0.5× 448 1.7× 170 0.7× 143 0.6× 54 0.2× 82 802
Bonnie Jonkman United States 19 633 1.4× 275 1.0× 209 0.9× 82 0.4× 52 0.2× 26 859
Sverre Haver Norway 13 158 0.3× 269 1.0× 185 0.8× 154 0.7× 66 0.3× 67 943
Rozenn Wagner Denmark 15 680 1.5× 648 2.5× 176 0.7× 274 1.2× 168 0.7× 42 1.0k
Yiqing Xiao China 14 160 0.3× 171 0.7× 136 0.6× 589 2.6× 479 2.1× 32 955
R.I. Harris United Kingdom 19 354 0.8× 791 3.0× 208 0.9× 285 1.3× 277 1.2× 36 1.1k
Jasna Bogunović Jakobsen Norway 18 321 0.7× 487 1.9× 480 2.0× 87 0.4× 56 0.2× 71 879
Murat Tutkun Norway 17 307 0.7× 270 1.0× 389 1.6× 65 0.3× 66 0.3× 52 716

Countries citing papers authored by Rick Damiani

Since Specialization
Citations

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

Fields of papers citing papers by Rick Damiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rick Damiani

This figure shows the co-authorship network connecting the top 25 collaborators of Rick Damiani. A scholar is included among the top collaborators of Rick Damiani 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 Rick Damiani. Rick Damiani 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.
Damiani, Rick, et al.. (2023). Robust multi‐loop control of a floating wind turbine. Wind Energy. 27(11). 1205–1228. 10 indexed citations
2.
Johnson, Kathryn, et al.. (2022). Control of a Floating Wind Turbine on a Novel Actuated Platform. 2022 American Control Conference (ACC). 3532–3537. 12 indexed citations
3.
Johnson, Kathryn, et al.. (2022). Buoyancy can ballast control for increased power generation of a floating offshore wind turbine with a light-weight semi-submersible platform. Applied Energy. 330. 120287–120287. 18 indexed citations
4.
Bianchini, Alessandro, Galih Bangga, Ian Baring-Gould, et al.. (2022). Current status and grand challenges for small wind turbine technology. Wind energy science. 7(5). 2003–2037. 24 indexed citations
5.
Damiani, Rick, et al.. (2022). Control Actuation Options for the SpiderFLOAT Floating Offshore Wind Substructure. AIAA SCITECH 2022 Forum. 3 indexed citations
6.
Damiani, Rick, et al.. (2022). Challenges and Possible Solutions in Aeroelastic Modeling for the Distributed Wind Industry. Journal of Physics Conference Series. 2265(4). 42075–42075. 1 indexed citations
7.
Loth, Eric, Rick Damiani, Scott Hughes, et al.. (2020). Gravo‐aeroelastic scaling of a 13‐MW downwind rotor for 20% scale blades. Wind Energy. 24(3). 229–245. 9 indexed citations
8.
Damiani, Rick, Scott Dana, Jennifer Annoni, et al.. (2018). Assessment of wind turbine component loads under yaw-offset conditions. Wind energy science. 3(1). 173–189. 87 indexed citations
9.
Gräf, Peter, Katherine Dykes, Rick Damiani, Jason Jonkman, & Paul Veers. (2018). Adaptive stratified importance sampling: hybridization of extrapolation and importance sampling Monte Carlo methods for estimation of wind turbine extreme loads. Wind energy science. 3(2). 475–487. 14 indexed citations
10.
Damiani, Rick, et al.. (2018). A Systematic Approach to Offshore Wind Turbine JacketPre-Design and Optimization: Geometry, Cost, and SurrogateStructural Code Check Models. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
11.
12.
Damiani, Rick, Scott Dana, Jennifer Annoni, et al.. (2017). Assessment of Wind Turbine Component Loads Under Yaw-Offset Conditions. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
13.
Damiani, Rick, et al.. (2016). Scenario analysis for techno‐economic model development of U.S. offshore wind support structures. Wind Energy. 20(4). 731–747. 14 indexed citations
14.
Jonkman, Jason, et al.. (2015). Verification of the new FAST v8 Capabilities for the Modeling of Fixed-Bottom Offshore Wind Turbines. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
15.
Ning, Andrew, et al.. (2015). Development and Validation of a New Blade Element Momentum Skewed-Wake Model within AeroDyn. ScholarsArchive (Brigham Young University). 42 indexed citations
16.
Dana, Scott, et al.. (2015). Validation of Simplified Load Equations through Loads Measurement and Modeling of a Small Horizontal-Axis Wind Turbine Tower; NREL (National Renewable Energy Laboratory). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
17.
Song, Huimin, Rick Damiani, Amy Robertson, & Jason Jonkman. (2013). A New Structural-Dynamics Module for Offshore Multimember Substructures Within the Wind Turbine Computer-Aided Engineering Tool FAST. The Twenty-third International Offshore and Polar Engineering Conference. 19 indexed citations
18.
Damiani, Rick, Joseph A. Zehnder, Bart Geerts, et al.. (2008). The Cumulus, Photogrammetric, In Situ, and Doppler Observations Experiment of 2006. Bulletin of the American Meteorological Society. 89(1). 57–74. 52 indexed citations
19.
Damiani, Rick. (2005). High resolution airborne radar dual-Doppler technique. 1 indexed citations
20.
Salvetti, Maria Vittoria, Rick Damiani, & F. Beux. (2001). Three-dimensional coarse large-eddy simulations of the flow above two-dimensional sinusoidal waves. International Journal for Numerical Methods in Fluids. 35(6). 617–642. 16 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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