| Hands-on machine learning with R B Boehmke, BM Greenwell Chapman and Hall/CRC, 2019 | 756 | 2019 |
| gbm: Generalized boosted regression models B Greenwell, B Boehmke, J Cunningham, GBM Developers R package version 2 (5), 37-40, 2019 | 586 | 2019 |
| A simple and effective model-based variable importance measure BM Greenwell, BC Boehmke, AJ McCarthy arXiv preprint arXiv:1805.04755, 2018 | 356 | 2018 |
| Package ‘vip’ B Greenwell, B Boehmke, B Gray Variable Importance Plots 12 (1), 343-66, 2020 | 285 | 2020 |
| gbm: generalized boosted regression models. R package version 2.1. 5 B Greenwell, B Boehmke, J Cunningham, GBM Developers Retrieved November 6, 2020, 2019 | 266 | 2019 |
| A quantified Kraljic Portfolio Matrix: Using decision analysis for strategic purchasing RT Montgomery, JA Ogden, BC Boehmke Journal of Purchasing and Supply Management, 2017 | 116 | 2017 |
| Package ‘gbm’ B Greenwell, B Boehmke, J Cunningham, GBM Developers, ... R package version 2 (5), 2019 | 101 | 2019 |
| Toward understanding outcomes associated with data quality improvement BT Hazen, FK Weigel, JD Ezell, BC Boehmke, RV Bradley International Journal of Production Economics 193, 737-747, 2017 | 49 | 2017 |
| Embedded analytics: improving decision support for humanitarian logistics operations DA Griffith, BC Boehmke, RV Bradley, BT Hazen, AW Johnson Annals of Operations Research, 1-19, 2017 | 47 | 2017 |
| Data Wrangling with R BC Boehmke Springer International Publishing, 2016 | 42 | 2016 |
| Residuals and diagnostics for binary and ordinal regression models: An introduction to the sure package. BM Greenwell, AJ McCarthy, BC Boehmke, L Dungang The R Journal, 2018 | 37 | 2018 |
| The Future of Supply Chain Information Systems: The Open Source Ecosystem BC Boehmke, BT Hazen Global Journal of Flexible Systems Management, 1-6, 2017 | 35 | 2017 |
| Package ‘gbm’-Generalized Boosted Regression Models B Greenwell, B Boehmke, J Cunningham, G Developers CRAN Repository 39, 2019 | 30 | 2019 |
| Vip: Variable importance plots B Greenwell, B Boehmke, B Gray R package version 0.3 2, 432, 2020 | 26 | 2020 |
| A simple and effective model-based variable importance measure. arXiv BM Greenwell, BC Boehmke, AJ McCarthy Preprint posted online May 12, 10.48550, 2018 | 23 | 2018 |
| Gradient boosting B Boehmke, B Greenwell Hands-on machine learning with r, 221-246, 2019 | 22 | 2019 |
| A simple and effective model-based variable importance measure. arXiv 2018 BM Greenwell, BC Boehmke, AJ McCarthy arXiv preprint arXiv:1805.04755, 1805 | 22 | 1805 |
| GBM developers B Greenwell, B Boehmke, J Cunningham Gbm: generalized boosted regression models, 2020 | 19 | 2020 |
| Cyber anomaly detection: Using tabulated vectors and embedded analytics for efficient data mining. RJ Gutierrez, KW Bauer, BC Boehmke, CM Saie, TJ Bihl Journal of Algorithms and Computational Technology, 2018 | 19 | 2018 |
| A data science and open source software approach to analytics for strategic sourcing B Boehmke, B Hazen, CA Boone, JL Robinson International Journal of Information Management 54, 102167, 2020 | 17 | 2020 |
Brandon M GreenwellDirector, Data Science at 84.51; Adjunct at UCכתובת אימייל מאומתת בדומיין ucmail.uc.edu