Erin E. Bachynski

3.4k total citations
119 papers, 2.2k citations indexed

About

Erin E. Bachynski is a scholar working on Ocean Engineering, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Erin E. Bachynski has authored 119 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Ocean Engineering, 71 papers in Computational Mechanics and 56 papers in Aerospace Engineering. Recurrent topics in Erin E. Bachynski's work include Wave and Wind Energy Systems (81 papers), Fluid Dynamics and Vibration Analysis (66 papers) and Wind Energy Research and Development (54 papers). Erin E. Bachynski is often cited by papers focused on Wave and Wind Energy Systems (81 papers), Fluid Dynamics and Vibration Analysis (66 papers) and Wind Energy Research and Development (54 papers). Erin E. Bachynski collaborates with scholars based in Norway, United States and France. Erin E. Bachynski's co-authors include Torgeir Moan, Marit I. Kvittem, Maxime Thys, Thomas Sauder, Zhen Gao, Amir R. Nejad, Haoran Li, Adam Wise, Chenyu Luan and Harald Ormberg and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Applied Mechanics and Renewable Energy.

In The Last Decade

Erin E. Bachynski

111 papers receiving 2.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Erin E. Bachynski	1.5k	1.2k	1.1k	400	298	119	2.2k
Madjid Karimirad	1.6k 1.0×	1.1k 0.9×	1.1k 1.0×	290 0.7×	193 0.6×	94	2.0k
Andrew J. Goupee	1.8k 1.2×	1.5k 1.2×	1.4k 1.2×	266 0.7×	353 1.2×	87	2.7k
Constantine Michailides	1.5k 1.0×	1.1k 0.9×	844 0.7×	274 0.7×	270 0.9×	94	2.0k
Chun Li	593 0.4×	837 0.7×	1.0k 0.9×	639 1.6×	306 1.0×	78	2.1k
Giuliana Mattiazzo	1.4k 0.9×	653 0.5×	573 0.5×	269 0.7×	122 0.4×	137	2.0k
Krish Thiagarajan	1.1k 0.7×	1.5k 1.2×	320 0.3×	390 1.0×	196 0.7×	122	1.9k
Yonghwan Kim	1.9k 1.2×	1.8k 1.5×	470 0.4×	154 0.4×	200 0.7×	209	2.7k
L.M.C. Gato	3.1k 2.0×	1.8k 1.5×	1.3k 1.2×	228 0.6×	162 0.5×	114	3.5k
Aurélien Babarit	2.7k 1.7×	1.3k 1.1×	1.0k 0.9×	256 0.6×	155 0.5×	69	3.0k
Finn Gunnar Nielsen	703 0.5×	623 0.5×	551 0.5×	257 0.6×	110 0.4×	59	1.1k

Countries citing papers authored by Erin E. Bachynski

Since Specialization

Citations

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

Fields of papers citing papers by Erin E. Bachynski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erin E. Bachynski. 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 Erin E. Bachynski. The network helps show where Erin E. Bachynski may publish in the future.

Co-authorship network of co-authors of Erin E. Bachynski

This figure shows the co-authorship network connecting the top 25 collaborators of Erin E. Bachynski. A scholar is included among the top collaborators of Erin E. Bachynski 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 Erin E. Bachynski. Erin E. Bachynski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jonkman, Jason, et al.. (2025). Investigation of Main Bearing Fatigue Estimate Sensitivity to Synthetic Turbulence Models Using a Novel Drivetrain Model Implemented in OpenFAST. Wind Energy. 28(3). 1 indexed citations

Jonkman, Jason, et al.. (2025). Main bearing response in a waked 15-MW floating wind turbine in below-rated conditions. Forschung im Ingenieurwesen. 89(1).

Bachynski, Erin E., et al.. (2025). A frequency-domain optimization procedure for catenary and semi-taut mooring systems of floating wind turbines. Marine Structures. 101. 103768–103768. 5 indexed citations

Rui, Shengjie, Hans Petter Jostad, Zefeng Zhou, et al.. (2025). Analysis of mooring system for floating wind turbine based on macro-model of chain-seabed interaction. Marine Structures. 104. 103877–103877. 4 indexed citations

Bachynski, Erin E., et al.. (2024). Analytical gradients of first-order diffraction and radiation forces for design optimization of floating structures. Applied Ocean Research. 152. 104198–104198.

Bouscasse, Benjamin, et al.. (2024). Experimental study of wave diffraction loads on a vertical circular cylinder with heave plates at deep and shallow drafts. Ocean Engineering. 312. 118970–118970. 1 indexed citations

Huguenard, Kimberly, et al.. (2024). Passive Mooring-based Turbine Repositioning Technique for Wake Steering in Floating Offshore Wind Farms. Journal of Physics Conference Series. 2767(9). 92056–92056. 4 indexed citations

Adam, Frank, et al.. (2023). Overview of the potential of floating wind in Europe based on met-ocean data derived from the ERA5-dataset. Journal of Physics Conference Series. 2626(1). 12021–12021. 3 indexed citations

Wise, Adam, et al.. (2023). Effect of atmospheric stability on the dynamic wake meandering model applied to two 12 MW floating wind turbines. Wind Energy. 26(12). 1235–1253. 7 indexed citations

10.

Sergiienko, Nataliia Y., et al.. (2022). Review of scaling laws applied to floating offshore wind turbines. Renewable and Sustainable Energy Reviews. 162. 112477–112477. 47 indexed citations

11.

Bachynski, Erin E., et al.. (2022). Fatigue design sensitivities of large monopile offshore wind turbines. Wind Energy. 25(10). 1684–1709. 11 indexed citations

12.

Wise, Adam, et al.. (2022). Effects of atmospheric stability on the structural response of a 12 MW semisubmersible floating wind turbine. Wind Energy. 25(11). 1917–1937. 9 indexed citations

13.

Berthelsen, Petter Andreas, et al.. (2021). Definition of the INO WINDMOOR 12 MW base case floating wind turbine. 22 indexed citations

14.

Bachynski, Erin E., et al.. (2020). Critical assessment of hydrodynamic load models for a monopile structure in finite water depth. Marine Structures. 72. 102743–102743. 19 indexed citations

15.

Wang, Shuaishuai, Amir R. Nejad, Erin E. Bachynski, & Torgeir Moan. (2020). A comparative study on the dynamic behaviour of 10 MW conventional and compact gearboxes for offshore wind turbines. Wind Energy. 24(7). 770–789. 8 indexed citations

16.

Bachynski, Erin E., et al.. (2020). Post‐installation adaptation of offshore wind turbine controls. Wind Energy. 23(4). 967–985. 4 indexed citations

17.

Cho, Seongpil, Erin E. Bachynski, Amir R. Nejad, Zhen Gao, & Torgeir Moan. (2019). Numerical modeling of the hydraulic blade pitch actuator in a spar‐type floating wind turbine considering fault conditions and their effects on global dynamic responses. Wind Energy. 23(2). 370–390. 18 indexed citations

18.

Fonseca, Nuno & Erin E. Bachynski. (2018). LFCS Review report – Environmental loads Methods for the estimation of loads on large floating bridges. Duo Research Archive (University of Oslo). 1 indexed citations

19.

Bachynski, Erin E. & Harald Ormberg. (2015). Comparison of Engineering Models for the Aerodynamic Load Distribution along a Wind Turbine Blade. The Twenty-fifth International Ocean and Polar Engineering Conference. 1 indexed citations

20.

Bachynski, Erin E. & Torgeir Moan. (2012). Linear And Nonlinear Analysis of Tension Leg Platform Wind Turbines. The Twenty-second International Offshore and Polar Engineering Conference. 10 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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