Brandon Greenwell

1.6k total citations · 1 hit paper
15 papers, 602 citations indexed

About

Brandon Greenwell is a scholar working on Artificial Intelligence, Speech and Hearing and Genetics. According to data from OpenAlex, Brandon Greenwell has authored 15 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Speech and Hearing and 2 papers in Genetics. Recurrent topics in Brandon Greenwell's work include Noise Effects and Management (2 papers), Advanced Statistical Methods and Models (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Brandon Greenwell is often cited by papers focused on Noise Effects and Management (2 papers), Advanced Statistical Methods and Models (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Brandon Greenwell collaborates with scholars based in United States, Australia and Italy. Brandon Greenwell's co-authors include Brad Boehmke, Christine M. Schubert Kabban, Martin P. DeSimio, Mark M. Derriso, Tal Galili, Simon Garnier, Carson Sievert, Antoine Filipović-Pierucci, Anthony P. Tvaryanas and Zewei Lin and has published in prestigious journals such as The Journal of the Acoustical Society of America, Molecular Ecology Resources and Structural Health Monitoring.

In The Last Decade

Brandon Greenwell

13 papers receiving 585 citations

Hit Papers

Hands-On Machine Learning with R 2019 2026 2021 2023 2019 100 200 300 400

Peers

Brandon Greenwell
Fariha Sohil Pakistan
Timothy Hodson United States
Elena Tuzhilina United States
J.S. Urban Hjorth United States
Brandon Greenwell
Citations per year, relative to Brandon Greenwell Brandon Greenwell (= 1×) peers Marie‐Therese Puth

Countries citing papers authored by Brandon Greenwell

Since Specialization
Citations

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

Fields of papers citing papers by Brandon Greenwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brandon Greenwell

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

All Works

15 of 15 papers shown
1.
Greenwell, Brandon, et al.. (2022). A new goodness‐of‐fit measure for probit models: Surrogate R 2. British Journal of Mathematical and Statistical Psychology. 76(1). 192–210. 9 indexed citations
2.
Greenwell, Brandon. (2022). Tree-Based Methods for Statistical Learning in R. 6 indexed citations
3.
Fountain‐Jones, Nicholas M., Christopher P. Kozakiewicz, Brenna R. Forester, et al.. (2021). MrIML: Multi‐response interpretable machine learning to model genomic landscapes. Molecular Ecology Resources. 21(8). 2766–2781. 8 indexed citations
4.
Garnier, Simon, et al.. (2021). sjmgarnier/viridis: viridis 0.6.0 (pre-CRAN release). Zenodo (CERN European Organization for Nuclear Research). 58 indexed citations
5.
Greenwell, Brandon, et al.. (2020). Variable Importance Plots [R package vip version 0.3.2]. 1 indexed citations
6.
Greenwell, Brandon, et al.. (2020). Generalized Boosted Regression Models [R package gbm version 2.1.8]. 48 indexed citations
7.
Boehmke, Brad & Brandon Greenwell. (2019). Hands-On Machine Learning with R. 413 indexed citations breakdown →
8.
Greenwell, Brandon, et al.. (2018). Risk Factors for Hearing Decrement Among U.S. Air Force Aviation-Related Personnel. Aerospace Medicine and Human Performance. 89(2). 80–86. 5 indexed citations
10.
Greenwell, Brandon. (2018). Partial Dependence Plots [R package pdp version 0.7.0]. 1 indexed citations
11.
Greenwell, Brandon, et al.. (2017). Surrogate Residuals for Ordinal and General Regression Models [R package sure version 0.2.0]. 3 indexed citations
12.
Greenwell, Brandon, et al.. (2017). Assessment of Aeromedical Evacuation Transport Patient Outcomes With and Without Cabin Altitude Restriction.
13.
Greenwell, Brandon, et al.. (2016). Modeling uncertainty in spontaneous speech: Lexical and acoustic features. The Journal of the Acoustical Society of America. 140(4_Supplement). 3401–3401. 2 indexed citations
14.
Kabban, Christine M. Schubert, Brandon Greenwell, Martin P. DeSimio, & Mark M. Derriso. (2015). The probability of detection for structural health monitoring systems: Repeated measures data. Structural Health Monitoring. 14(3). 252–264. 45 indexed citations
15.
Greenwell, Brandon. (2014). Topics in Statistical Calibration. 1 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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