Jennifer Rinker

1.3k total citations · 1 hit paper
21 papers, 205 citations indexed

About

Jennifer Rinker is a scholar working on Environmental Engineering, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Jennifer Rinker has authored 21 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Environmental Engineering, 11 papers in Aerospace Engineering and 9 papers in Computational Mechanics. Recurrent topics in Jennifer Rinker's work include Wind and Air Flow Studies (12 papers), Wind Energy Research and Development (11 papers) and Fluid Dynamics and Vibration Analysis (6 papers). Jennifer Rinker is often cited by papers focused on Wind and Air Flow Studies (12 papers), Wind Energy Research and Development (11 papers) and Fluid Dynamics and Vibration Analysis (6 papers). Jennifer Rinker collaborates with scholars based in Denmark, United States and Germany. Jennifer Rinker's co-authors include Paul Veers, Henrik Bredmose, D. Philip, Katherine Dykes, Carlo L. Bottasso, Michael Robinson, Patrick Moriarty, Helge Aagaard Madsen, Lance Manuel and Jonathan Naughton and has published in prestigious journals such as Energies, Boundary-Layer Meteorology and Journal of vibration and acoustics.

In The Last Decade

Jennifer Rinker

19 papers receiving 195 citations

Hit Papers

Grand challenges in the design, manufacture, and operatio... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Rinker Denmark 7 130 76 69 44 41 21 205
David Robert Verelst Denmark 11 207 1.6× 117 1.5× 100 1.4× 59 1.3× 65 1.6× 34 277
Carlo Tibaldi Denmark 10 229 1.8× 96 1.3× 91 1.3× 61 1.4× 80 2.0× 17 296
Nick Johnson United States 8 145 1.1× 61 0.8× 118 1.7× 25 0.6× 35 0.9× 19 205
Matias Sessarego Denmark 9 252 1.9× 134 1.8× 104 1.5× 32 0.7× 24 0.6× 18 294
Leonardo Bergami Denmark 10 291 2.2× 119 1.6× 136 2.0× 36 0.8× 83 2.0× 27 327
Jonathan Berg United States 9 203 1.6× 86 1.1× 79 1.1× 50 1.1× 70 1.7× 18 236
Scott Larwood United States 9 217 1.7× 123 1.6× 114 1.7× 29 0.7× 41 1.0× 23 260
Scott Dana United States 7 269 2.1× 152 2.0× 91 1.3× 21 0.5× 29 0.7× 18 313
Anders Yde Denmark 6 218 1.7× 101 1.3× 147 2.1× 60 1.4× 87 2.1× 14 359

Countries citing papers authored by Jennifer Rinker

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Rinker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Rinker

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Rinker. A scholar is included among the top collaborators of Jennifer Rinker 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 Jennifer Rinker. Jennifer Rinker 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.
Rinker, Jennifer, et al.. (2024). Reconstructing turbulent wind-fields using inverse-distance-weighting interpolation and measurements from a pulsed mounted-hub lidar. Journal of Physics Conference Series. 2745(1). 12017–12017. 1 indexed citations
2.
Veers, Paul, et al.. (2024). Sensitivity of fatigue reliability in wind turbines: effects of design turbulence and the Wöhler exponent. Wind energy science. 9(4). 799–820. 3 indexed citations
3.
Rinker, Jennifer, et al.. (2024). Wind-field characterization using synthetic lidar measurements and proper orthogonal decomposition. Journal of Physics Conference Series. 2767(5). 52061–52061.
4.
Bortolotti, Pietro, et al.. (2024). Wind Turbine Aeroelastic Stability in OpenFAST. Journal of Physics Conference Series. 2767(2). 22018–22018. 2 indexed citations
5.
Rinker, Jennifer, et al.. (2023). Fitting and extrapolation of the rainflow-counted load ranges for fatigue assessment of the wind turbine’s blades. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
6.
Veers, Paul, Carlo L. Bottasso, Lance Manuel, et al.. (2023). Grand challenges in the design, manufacture, and operation of future wind turbine systems. Wind energy science. 8(7). 1071–1131. 91 indexed citations breakdown →
8.
Dykes, Katherine, et al.. (2023). Effects of finite sampling on fatigue damage estimation of wind turbine components: A statistical study. Wind Engineering. 47(4). 799–820. 5 indexed citations
9.
Rinker, Jennifer, et al.. (2022). Aeroservoelastic stability of a floating wind turbine. Journal of Physics Conference Series. 2265(4). 42001–42001. 2 indexed citations
10.
Rinker, Jennifer. (2022). Impact of rotor size on aeroelastic uncertainty with lidar-constrained turbulence. Journal of Physics Conference Series. 2265(3). 32011–32011. 4 indexed citations
11.
Rinker, Jennifer, et al.. (2021). The Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake. Energies. 14(21). 7313–7313. 6 indexed citations
12.
Rinker, Jennifer. (2020). Uncertainty in loads for different constraint patterns in constrained-turbulence generation. Journal of Physics Conference Series. 1618(5). 52053–52053. 1 indexed citations
13.
Rinker, Jennifer, Evan Gaertner, Frederik Zahle, et al.. (2020). Comparison of loads from HAWC2 and OpenFAST for the IEA Wind 15 MW Reference Wind Turbine. Journal of Physics Conference Series. 1618(5). 52052–52052. 27 indexed citations
14.
Kretschmer, Matthias, et al.. (2020). A numerical framework for constraining synthetic wind fields with lidar measurements for improved load simulations. AIAA Scitech 2020 Forum. 7 indexed citations
15.
Gräf, Peter, Ryan King, Katherine Dykes, et al.. (2019). Temporal Coherence Importance Sampling for Wind Turbine Extreme Loads Estimation. AIAA Scitech 2019 Forum. 1 indexed citations
16.
Rinker, Jennifer. (2018). PyConTurb: an open-source constrained turbulence generator. Journal of Physics Conference Series. 1037. 62032–62032. 15 indexed citations
17.
Rinker, Jennifer, Morten Hartvig Hansen, & Torben J. Larsen. (2018). Calibrating a wind turbine model using diverse datasets. Journal of Physics Conference Series. 1037. 62026–62026. 5 indexed citations
18.
Rinker, Jennifer. (2016). Calculating the sensitivity of wind turbine loads to wind inputs using response surfaces. Journal of Physics Conference Series. 753. 32057–32057. 10 indexed citations
19.
Harvey, Philip, Henri P. Gavin, Jeffrey T. Scruggs, & Jennifer Rinker. (2013). Determining the physical limits on semi-active control performance: a tutorial. Structural Control and Health Monitoring. 21(5). 803–816. 5 indexed citations
20.
Philip, D. & Jennifer Rinker. (2012). Enforcing Nodes to Suppress Vibration Along a Harmonically Forced Damped Euler-Bernoulli Beam. Journal of vibration and acoustics. 134(5). 14 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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