Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of Jason Jonkman'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 Jason Jonkman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Jonkman more than expected).
This network shows the impact of papers produced by Jason Jonkman. 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 Jason Jonkman. The network helps show where Jason Jonkman may publish in the future.
Co-authorship network of co-authors of Jason Jonkman
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Jonkman.
A scholar is included among the top collaborators of Jason Jonkman 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 Jason Jonkman. Jason Jonkman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wendt, Fabian, Amy Robertson, & Jason Jonkman. (2017). FAST Model Calibration and Validation of the OC5-DeepCwind Floating Offshore Wind System Against Wave Tank Test Data. The 27th International Ocean and Polar Engineering Conference.2 indexed citations
9.
Wendt, Fabian, et al.. (2016). Assessment of First- and Second-Order Wave-Excitation Load Models for Cylindrical Substructures. The 26th International Ocean and Polar Engineering Conference.3 indexed citations
10.
Gueydon, Sébastien & Jason Jonkman. (2016). Update on the Comparison of Second-Order Loads on a Tension Leg Platform for Wind Turbines. The 26th International Ocean and Polar Engineering Conference.1 indexed citations
11.
Kim, Taeseong, et al.. (2015). HAWC2 and BeamDyn: Comparison Between Beam Structural Models for Aero-Servo-Elastic Frameworks. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU).5 indexed citations
12.
Jonkman, Jason. (2015). OpenFAST [SWR-08-12]. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).1 indexed citations
13.
Goupee, Andrew J., et al.. (2015). A Calibrated Blade-Element/Momentum Theory Aerodynamic Model of the MARIN Stock Wind Turbine. The Twenty-fifth International Ocean and Polar Engineering Conference.3 indexed citations
14.
Robertson, Amy, et al.. (2013). Investigation of Response Amplitude Operators for Floating Offshore Wind Turbines. The Twenty-third International Offshore and Polar Engineering Conference.22 indexed citations
15.
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
16.
Masciola, Marco, Jason Jonkman, & Amy Robertson. (2013). Implementation of a Multisegmented, Quasi-Static Cable Model. The Twenty-third International Offshore and Polar Engineering Conference.41 indexed citations
17.
Masciola, Marco, et al.. (2013). Assessment of the Importance of Mooring Dynamics on the Global Response of the DeepCwind Floating Semisubmersible Offshore Wind Turbine. The Twenty-third International Offshore and Polar Engineering Conference.56 indexed citations
18.
Popko, Wojciech, Fabian Vorpahl, Jason Jonkman, & Amy Robertson. (2012). OC3 and OC4 projects - verification benchmark exercises of state-of-art coupled simulation tools for offshore wind turbines. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).1 indexed citations
19.
Goupee, Andrew J., et al.. (2012). FAST Code Verification of Scaling Laws for DeepCwind Floating Wind System Tests. The Twenty-second International Offshore and Polar Engineering Conference.31 indexed citations
20.
Stewart, Gordon M., Matthew A. Lackner, Amy Robertson, Jason Jonkman, & Andrew J. Goupee. (2012). Calibration and Validation of a Fast Floating Wind Turbine Model of the Deepcwind Scaled Tension-Leg Platform. The Twenty-second International Offshore and Polar Engineering Conference.47 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.