Garrett Good

455 total citations
9 papers, 340 citations indexed

About

Garrett Good is a scholar working on Computational Mechanics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Garrett Good has authored 9 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mechanics, 3 papers in Ocean Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Garrett Good's work include Fluid Dynamics and Turbulent Flows (4 papers), Energy Load and Power Forecasting (3 papers) and Aeolian processes and effects (3 papers). Garrett Good is often cited by papers focused on Fluid Dynamics and Turbulent Flows (4 papers), Energy Load and Power Forecasting (3 papers) and Aeolian processes and effects (3 papers). Garrett Good collaborates with scholars based in Germany, United States and France. Garrett Good's co-authors include Yves‐Marie Saint‐Drenan, Z. Warhaft, Martin Braun, Peter J. Ireland, Gregory P. Bewley, Eberhard Bodenschatz, Lance R. Collins, Sergiy Gerashchenko, Stefan Bofinger and Jan Dobschinski and has published in prestigious journals such as Journal of Fluid Mechanics, Solar Energy and Physics of Fluids.

In The Last Decade

Garrett Good

9 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Garrett Good Germany	7	148	143	124	109	106	9	340
N. Salvação Portugal	7	125 0.8×	15 0.1×	24 0.2×	23 0.2×	50 0.5×	8	313
Eric D. Stoutenburg United States	6	116 0.8×	15 0.1×	7 0.1×	21 0.2×	186 1.8×	8	335
Viktoria Neimane Sweden	7	105 0.7×	12 0.1×	7 0.1×	55 0.5×	217 2.0×	13	359
Joseph F. Brodie United States	8	20 0.1×	28 0.2×	67 0.5×	6 0.1×	138 1.3×	17	369
Sheila Carreno-Madinabeitia Spain	9	56 0.4×	34 0.2×	19 0.2×	7 0.1×	131 1.2×	24	340
Ubong C. Ben Nigeria	10	72 0.5×	99 0.7×	4 0.0×	11 0.1×	28 0.3×	24	283
Tristan J. Shepherd United States	13	17 0.1×	30 0.2×	28 0.2×	12 0.1×	124 1.2×	23	443
Enrico G. A. Antonini Canada	12	7 0.0×	42 0.3×	48 0.4×	7 0.1×	88 0.8×	17	288
Johannes Wendebourg France	7	49 0.3×	16 0.1×	38 0.3×	25 0.2×	4 0.0×	14	142
Gerard Cortina United States	10	15 0.1×	16 0.1×	139 1.1×	10 0.1×	32 0.3×	11	280

Countries citing papers authored by Garrett Good

Since Specialization

Citations

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

Fields of papers citing papers by Garrett Good

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garrett Good

This figure shows the co-authorship network connecting the top 25 collaborators of Garrett Good. A scholar is included among the top collaborators of Garrett Good 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 Garrett Good. Garrett Good is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Good, Garrett, et al.. (2023). Optimization of weather forecasting for cloud cover over the European domain using the meteorological component of the Ensemble for Stochastic Integration of Atmospheric Simulations version 1.0. Geoscientific model development. 16(3). 1083–1104. 2 indexed citations

Good, Garrett, et al.. (2021). Calibration of solar radiation ensemble forecasts using convolutional neural network. 2 indexed citations

Saint‐Drenan, Yves‐Marie, Garrett Good, & Martin Braun. (2017). A probabilistic approach to the estimation of regional photovoltaic power production. Solar Energy. 147. 257–276. 52 indexed citations

Saint‐Drenan, Yves‐Marie, et al.. (2016). Analysis of the uncertainty in the estimates of regional PV power generation evaluated with the upscaling method. Solar Energy. 135. 536–550. 67 indexed citations

Saint‐Drenan, Yves‐Marie, et al.. (2015). An empirical approach to parameterizing photovoltaic plants for power forecasting and simulation. Solar Energy. 120. 479–493. 44 indexed citations

Good, Garrett, Peter J. Ireland, Gregory P. Bewley, et al.. (2014). Settling regimes of inertial particles in isotropic turbulence. Journal of Fluid Mechanics. 759. 122 indexed citations

Good, Garrett, Sergiy Gerashchenko, & Z. Warhaft. (2012). Intermittency and inertial particle entrainment at a turbulent interface: the effect of the large-scale eddies. Journal of Fluid Mechanics. 694. 371–398. 30 indexed citations

Gerashchenko, Sergiy, Garrett Good, & Z. Warhaft. (2011). Entrainment and mixing of water droplets across a shearless turbulent interface with and without gravitational effects. Journal of Fluid Mechanics. 668. 293–303. 14 indexed citations

Good, Garrett & Z. Warhaft. (2011). On the probability distribution function of the velocity field and its derivative in multi-scale turbulence. Physics of Fluids. 23(9). 7 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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