Ryan G. Coe

1.6k total citations
87 papers, 985 citations indexed

About

Ryan G. Coe is a scholar working on Ocean Engineering, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Ryan G. Coe has authored 87 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Ocean Engineering, 29 papers in Computational Mechanics and 16 papers in Aerospace Engineering. Recurrent topics in Ryan G. Coe's work include Wave and Wind Energy Systems (64 papers), Fluid Dynamics and Vibration Analysis (27 papers) and Coastal and Marine Dynamics (13 papers). Ryan G. Coe is often cited by papers focused on Wave and Wind Energy Systems (64 papers), Fluid Dynamics and Vibration Analysis (27 papers) and Coastal and Marine Dynamics (13 papers). Ryan G. Coe collaborates with scholars based in United States, Germany and Denmark. Ryan G. Coe's co-authors include Giorgio Bacelli, David G. Wilson, Jennifer van Rij, Yi-Hsiang Yu, Vincent S. Neary, Ossama Abdelkhalik, Rush D. Robinett, Dominic Forbush, Umesh A. Korde and Lance Manuel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Applied Energy.

In The Last Decade

Ryan G. Coe

80 papers receiving 965 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan G. Coe United States 21 786 332 233 209 203 87 985
Jørgen R. Krokstad Norway 10 669 0.9× 361 1.1× 268 1.2× 301 1.4× 49 0.2× 27 824
Peng Jin China 16 650 0.8× 314 0.9× 289 1.2× 290 1.4× 99 0.5× 49 825
Yong Cheng China 15 619 0.8× 395 1.2× 132 0.6× 305 1.5× 68 0.3× 51 850
Made Jaya Muliawan Norway 8 975 1.2× 518 1.6× 495 2.1× 374 1.8× 85 0.4× 10 1.0k
Markel Peñalba Spain 21 1.0k 1.3× 464 1.4× 432 1.9× 330 1.6× 249 1.2× 59 1.3k
Giorgio Bacelli United States 23 1.2k 1.5× 500 1.5× 333 1.4× 291 1.4× 406 2.0× 87 1.3k
V. Piscopo Italy 16 455 0.6× 201 0.6× 170 0.7× 86 0.4× 36 0.2× 60 792
Matthew Hall United States 18 1.1k 1.5× 826 2.5× 536 2.3× 333 1.6× 77 0.4× 50 1.4k
Nicolás Faedo Italy 19 1.1k 1.4× 438 1.3× 285 1.2× 178 0.9× 379 1.9× 96 1.3k

Countries citing papers authored by Ryan G. Coe

Since Specialization
Citations

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

Fields of papers citing papers by Ryan G. Coe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan G. Coe. 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 Ryan G. Coe. The network helps show where Ryan G. Coe may publish in the future.

Co-authorship network of co-authors of Ryan G. Coe

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan G. Coe. A scholar is included among the top collaborators of Ryan G. Coe 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 Ryan G. Coe. Ryan G. Coe 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.
Coe, Ryan G., et al.. (2025). Benchmark of numerical modeling approaches on the systematic performance evaluation of wave energy converters. Applied Ocean Research. 162. 104725–104725.
2.
Coe, Ryan G., et al.. (2025). Co-design of a wave energy converter through bi-conjugate impedance matching. Mechatronics. 111. 103395–103395.
3.
Coe, Ryan G., et al.. (2025). Real-Time Sea State Estimation for Wave Energy Converter Control via Machine Learning. Applied Sciences. 15(10). 5772–5772.
4.
Coe, Ryan G., et al.. (2024). High-dimensional control co-design of a wave energy converter with a novel pitch resonator power takeoff system. Ocean Engineering. 312. 119124–119124. 5 indexed citations
5.
Giorgi, Simone, et al.. (2024). Wave Energy Converter Power Take-Off Modeling and Validation From Experimental Bench Tests. IEEE Journal of Oceanic Engineering. 49(2). 446–457.
6.
Coe, Ryan G., et al.. (2024). Co-design of a wave energy converter for autonomous power. IFAC-PapersOnLine. 58(20). 446–451. 1 indexed citations
7.
Bird, Jonathan Z., et al.. (2023). Maximizing Wave Energy Converter Power Extraction by Utilizing a Variable Negative Stiffness Magnetic Spring. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 15. 3 indexed citations
8.
Coe, Ryan G., et al.. (2023). Incorporating Empirical Nonlinear Efficiency into Control Co-Optimization of a Real World Heaving Point Absorber using WecOptTool. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
9.
Coe, Ryan G. & Giorgio Bacelli. (2023). Useful Power Maximization for Wave Energy Converters. Energies. 16(1). 529–529. 1 indexed citations
10.
Coe, Ryan G., et al.. (2023). Control co-design and uncertainty analysis of the LUPA’s PTO using WecOptTool. 15. 1 indexed citations
11.
Coe, Ryan G., George Lavidas, Giorgio Bacelli, Peter Holmes Kobos, & Vincent S. Neary. (2022). Minimizing cost in a 100% renewable electricity grid: A case study of wave energy in California.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
12.
Bacelli, Giorgio, et al.. (2022). Nonlinear Hydrostatic Control Of A Wave Energy Converter. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
13.
Coe, Ryan G., Seongho Ahn, Vincent S. Neary, Peter Holmes Kobos, & Giorgio Bacelli. (2021). Maybe less is more: Considering capacity factor, saturation, variability, and filtering effects of wave energy devices. Applied Energy. 291. 116763–116763. 29 indexed citations
14.
Sergiienko, Nataliia Y., Giorgio Bacelli, Ryan G. Coe, & Benjamin Cazzolato. (2021). A comparison of efficiency-aware model-predictive control approaches for wave energy devices. Journal of Ocean Engineering and Marine Energy. 8(1). 17–29. 7 indexed citations
15.
Forbush, Dominic, et al.. (2021). Design and testing of a free floating dual flap wave energy converter. Energy. 240. 122485–122485. 3 indexed citations
16.
Korde, Umesh A., et al.. (2021). Scoping and concept design of a WEC for autonomous power. OCEANS 2021: San Diego – Porto. 1–6. 1 indexed citations
17.
Wilson, David G., Rush D. Robinett, Giorgio Bacelli, Ossama Abdelkhalik, & Ryan G. Coe. (2020). Extending Complex Conjugate Control to Nonlinear Wave Energy Converters. Journal of Marine Science and Engineering. 8(2). 84–84. 12 indexed citations
18.
Bacelli, Giorgio & Ryan G. Coe. (2020). Comments on Control of Wave Energy Converters. IEEE Transactions on Control Systems Technology. 29(1). 478–481. 38 indexed citations
19.
Bull, Diana, et al.. (2016). INSTRUMENTATION OF A WEC DEVICE FOR CONTROLS TESTING.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
20.
Bull, Diana, et al.. (2015). Design of a Physical Point-Absorbing WEC Model on which Multiple Control Strategies will be Tested at Large Scale in the MASK Basin. The Twenty-fifth International Ocean and Polar Engineering Conference. 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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