Jennifer Annoni
- Aerospace Engineering top 0.5%
- Wind Energy Research and Development 34
- Turbomachinery Performance and Optimization 5
- Environmental Engineering top 1%
- Wind and Air Flow Studies 17
- Computational Mechanics top 2%
- Fluid Dynamics and Vibration Analysis 13
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- Wind Turbine Control Systems 11
- Energy Load and Power Forecasting 6
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- Probabilistic and Robust Engineering Design 5
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- Model Reduction and Neural Networks 7
- Co-authors
- Paul FlemingAndrew ScholbrockPieter GebraadMatthew ChurchfieldPeter SeilerLuis A. Martínez‐TossasKathryn JohnsonChristopher J. Bay
- Journals
- International Journal of Robust and Nonlinear Control (1 paper)Wind Energy (2 papers)Wind energy science (6 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Jennifer Annoni
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 48
- Aerospace Engineering 1.4k
- Environmental Engineering 730
- Computational Mechanics 523
- Electrical and Electronic Engineering 683
- Statistics, Probability and Uncertainty 63
Countries citing papers authored by Jennifer Annoni
This map shows the geographic impact of Jennifer Annoni'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 Annoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Annoni more than expected).
Fields of papers citing papers by Jennifer Annoni
This network shows the impact of papers produced by Jennifer Annoni. 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 Annoni. The network helps show where Jennifer Annoni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer Annoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 19 | |
| 2 | 2019 | 37 | |
| 3 | 2019 | 126 | |
| 4 | 2018 | 87 | |
| 5 | 2018 | 14 | |
| 6 | 2018 | 4 | |
| 7 | Enabling predictive reduced order modeling of high-fidelity wind plant simulations with in-situ modal decomposition and basis interpolation | 2018 | 1 |
| 8 | 2018 | 10 | |
| 9 | 2018 | 87 | |
| 10 | 2018 | 90 | |
| 11 | 2018 | 40 | |
| 12 | 2017 | 3 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 4 | |
| 15 | 2017 | 217 | |
| 16 | 2017 | 40 | |
| 17 | 2016 | 6 | |
| 18 | Input-output dynamic mode decomposition | 2015 | 1 |
| 19 | 2015 | 13 | |
| 20 | 2014 | 3 |
About Jennifer Annoni
Jennifer Annoni is a scholar working on Aerospace Engineering, Environmental Engineering and Computational Mechanics, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wind Energy Research and Development (34 papers), Wind and Air Flow Studies (17 papers), Fluid Dynamics and Vibration Analysis (13 papers), Wind Turbine Control Systems (11 papers), Model Reduction and Neural Networks (7 papers), Energy Load and Power Forecasting (6 papers), Turbomachinery Performance and Optimization (5 papers) and Probabilistic and Robust Engineering Design (5 papers). The work is most often cited by research in Aerospace Engineering (1.4k citations), Environmental Engineering (730 citations) and Computational Mechanics (523 citations). Jennifer Annoni has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Paul Fleming, Andrew Scholbrock, Pieter Gebraad, Matthew Churchfield, Peter Seiler, Luis A. Martínez‐Tossas, Kathryn Johnson, Christopher J. Bay, Jan‐Willem van Wingerden and Scott Dana. Their work appears in journals such as International Journal of Robust and Nonlinear Control, Wind Energy and Wind energy science.
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.