Mike Optis

1.4k total citations
36 papers, 573 citations indexed

About

Mike Optis is a scholar working on Atmospheric Science, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Mike Optis has authored 36 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 21 papers in Aerospace Engineering and 17 papers in Environmental Engineering. Recurrent topics in Mike Optis's work include Meteorological Phenomena and Simulations (22 papers), Wind Energy Research and Development (20 papers) and Wind and Air Flow Studies (16 papers). Mike Optis is often cited by papers focused on Meteorological Phenomena and Simulations (22 papers), Wind Energy Research and Development (20 papers) and Wind and Air Flow Studies (16 papers). Mike Optis collaborates with scholars based in United States, Canada and Netherlands. Mike Optis's co-authors include Nicola Bodini, Adam H. Monahan, Peter Wild, Fred C. Bosveld, Julie K. Lundquist, Gerald Steinfeld, Martin Dörenkämper, Paula Doubrawa, Mithu Debnath and Caroline Draxl and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Boundary-Layer Meteorology and The International Journal of Life Cycle Assessment.

In The Last Decade

Mike Optis

35 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mike Optis United States 13 269 262 254 149 121 36 573
Patrick Volker Denmark 11 178 0.7× 279 1.1× 409 1.6× 60 0.4× 251 2.1× 27 657
Geng‐Ming Jiang China 13 411 1.5× 312 1.2× 140 0.6× 163 1.1× 11 0.1× 44 758
Mariano Sastre Spain 16 532 2.0× 340 1.3× 100 0.4× 440 3.0× 48 0.4× 43 768
Junyi He China 12 208 0.8× 178 0.7× 129 0.5× 80 0.5× 64 0.5× 43 439
Jana Fischereit Denmark 11 92 0.3× 137 0.5× 126 0.5× 52 0.3× 29 0.2× 20 305
Tristan J. Shepherd United States 13 176 0.7× 171 0.7× 309 1.2× 115 0.8× 124 1.0× 23 443
Craig M. Smith United States 13 210 0.8× 137 0.5× 114 0.4× 213 1.4× 58 0.5× 24 431
Gerald Steinfeld Germany 16 276 1.0× 614 2.3× 634 2.5× 215 1.4× 121 1.0× 44 940
Massimo D’Isidoro Italy 14 404 1.5× 172 0.7× 69 0.3× 258 1.7× 175 1.4× 40 790
Beatriz Cañadillas Germany 15 300 1.1× 427 1.6× 586 2.3× 87 0.6× 84 0.7× 29 751

Countries citing papers authored by Mike Optis

Since Specialization
Citations

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

Fields of papers citing papers by Mike Optis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Optis

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Optis. A scholar is included among the top collaborators of Mike Optis 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 Mike Optis. Mike Optis 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.
Lundquist, Julie K., et al.. (2025). The effects of wind farm wakes on freezing sea spray in the mid-Atlantic offshore wind energy areas. Wind energy science. 10(1). 59–81.
2.
Lundquist, Julie K., et al.. (2024). Seasonal variability of wake impacts on US mid-Atlantic offshore wind plant power production. Wind energy science. 9(3). 555–583. 19 indexed citations
3.
Bodini, Nicola, et al.. (2023). Long-term uncertainty quantification in WRF-modeled offshore wind resource off the US Atlantic coast. Wind energy science. 8(4). 607–620. 5 indexed citations
4.
Redfern, Stephanie, Mike Optis, Geng Xia, & Caroline Draxl. (2023). Offshore wind energy forecasting sensitivity to sea surface temperature input in the Mid-Atlantic. Wind energy science. 8(1). 1–23. 12 indexed citations
5.
Xia, Geng, Caroline Draxl, Mike Optis, & Stephanie Redfern. (2022). Detecting and characterizing simulated sea breezes over the US northeastern coast with implications for offshore wind energy. Wind energy science. 7(2). 815–829. 12 indexed citations
6.
Bodini, Nicola, et al.. (2022). Can reanalysis products outperform mesoscale numerical weather prediction models in modeling the wind resource in simple terrain?. Wind energy science. 7(2). 487–504. 21 indexed citations
7.
Juliano, Timothy W., et al.. (2022). The sensitivity of the Fitch wind farm parameterization to a three-dimensional planetary boundary layer scheme. Wind energy science. 7(5). 2085–2098. 11 indexed citations
8.
Optis, Mike, Jason Fields, Nicola Bodini, et al.. (2021). OpenOA: An Open-Source Codebase For Operational Analysis of Wind Farms. The Journal of Open Source Software. 6(58). 2171–2171. 8 indexed citations
9.
10.
Bodini, Nicola, Weiming Hu, Mike Optis, Guido Cervone, & Stefano Alessandrini. (2021). Assessing boundary condition and parametric uncertainty in numerical-weather-prediction-modeled, long-term offshore wind speed through machine learning and analog ensemble. Wind energy science. 6(6). 1363–1377. 7 indexed citations
11.
Optis, Mike, Nicola Bodini, Mithu Debnath, & Paula Doubrawa. (2021). New methods to improve the vertical extrapolation of near-surface offshore wind speeds. Wind energy science. 6(3). 935–948. 30 indexed citations
12.
13.
Xia, Geng, Caroline Draxl, Mike Optis, & Stephanie Redfern. (2021). Detecting and Characterizing Sea Breezes Over the U.S. Northeast Coast with Implication for Offshore Wind Energy. 3 indexed citations
14.
Debnath, Mithu, et al.. (2021). Extreme wind shear events in US offshore wind energy areas and the role of induced stratification. Wind energy science. 6(4). 1043–1059. 28 indexed citations
15.
16.
Bodini, Nicola, Julie K. Lundquist, & Mike Optis. (2020). Can machine learning improve the model representation of turbulent kinetic energy dissipation rate in the boundary layer for complex terrain?. Geoscientific model development. 13(9). 4271–4285. 18 indexed citations
17.
Bodini, Nicola & Mike Optis. (2020). The importance of round-robin validation when assessing machine-learning-based vertical extrapolation of wind speeds. Wind energy science. 5(2). 489–501. 22 indexed citations
18.
Bodini, Nicola, Julie K. Lundquist, & Mike Optis. (2020). Can machine learning improve the model representation of TKE dissipation rate in the boundary layer for complex terrain?. 1 indexed citations
19.
Optis, Mike, Joseph Lee, Travis Kemper, et al.. (2019). OpenOA: An Open-Source Code Base for Operational Analysis of Wind Power Plants. 4 indexed citations
20.
Optis, Mike, et al.. (2019). The importance of atmospheric turbulence and stability in machine-learning models of wind farm power production. Renewable and Sustainable Energy Reviews. 112. 27–41. 62 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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