Max Kuhn
#165,496
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Max Kuhn's AcademicInfluence.com Rankings
Max Kuhnmathematics Degrees
Mathematics
#7500
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#10188
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Statistics
#873
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#965
Historical Rank

Max Kuhncomputer-science Degrees
Computer Science
#9884
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#10367
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Data Science
#248
World Rank
#253
Historical Rank
Machine Learning
#4440
World Rank
#4490
Historical Rank

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Why Is Max Kuhn Influential?
(Suggest an Edit or Addition)Max Kuhn's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Welcome to the Tidyverse (2019) (5955)
- Building Predictive Models in R Using the caret Package (2008) (4766)
- Applied Predictive Modeling (2013) (3617)
- caret: Classification and Regression Training (2015) (1921)
- The caret Package (2007) (621)
- Multiplexed Immunoassay Panel Identifies Novel CSF Biomarkers for Alzheimer's Disease Diagnosis and Prognosis (2011) (214)
- Feature Engineering and Selection (2019) (156)
- An Introduction to Feature Selection (2013) (95)
- Postnatal PPARδ Activation and Myostatin Inhibition Exert Distinct yet Complimentary Effects on the Metabolic Profile of Obese Insulin-Resistant Mice (2010) (63)
- Over-Fitting and Model Tuning (2013) (62)
- Nonlinear Regression Models (2013) (42)
- Variable Importance Using The caret Package (2007) (33)
- Futility Analysis in the Cross-Validation of Machine Learning Models (2014) (30)
- Classification and Regression Training [R package caret version 6.0-86] (2020) (29)
- Modeling the Mechanism of Action of a DGAT1 Inhibitor Using a Causal Reasoning Platform (2011) (27)
- Discriminant Analysis and Other Linear Classification Models (2013) (26)
- Remedies for Severe Class Imbalance (2013) (25)
- Classification Trees and Rule-Based Models (2013) (20)
- Rule- And Instance-Based Regression Modeling [R package Cubist version 0.2.3] (2020) (19)
- Measuring Performance in Classification Models (2013) (19)
- A Short Tour of the Predictive Modeling Process (2013) (16)
- Regression Trees and Rule-Based Models (2013) (14)
- Data Pre-processing (2013) (13)
- The contrast Package (2009) (13)
- C5.0 Decision Trees and Rule-Based Models [R package C50 version 0.1.3.1] (2020) (11)
- Measuring Predictor Importance (2013) (9)
- Who's afraid of the big black box?: Statisticians' vital role in big data and predictive modelling (2014) (7)
- Measuring Performance in Regression Models (2013) (7)
- Easily Install and Load the 'Tidymodels' Packages [R package tidymodels version 0.1.2] (2020) (6)
- Linear Regression and Its Cousins (2013) (6)
- New analyses of MIC90 data to aid antibacterial drug discovery (2011) (5)
- Nonlinear Classification Models (2013) (4)
- Preprocessing Tools to Create Design Matrices [R package recipes version 0.1.15] (2020) (4)
- Statistical Methods for Drug Discovery (2016) (3)
- A Common API to Modeling and Analysis Functions [R package parsnip version 0.1.3] (2020) (3)
- Feature Selection Overview (2019) (2)
- Bayesian Analysis to Compare Models using Resampling Statistics [R package tidyposterior version 0.0.3] (2020) (2)
- A Summary of Grant Application Models (2013) (2)
- Factors That Can Affect Model Performance (2013) (2)
- General Resampling Infrastructure [R package rsample version 0.0.8] (2020) (2)
- Introduction (2019) (1)
- Predictive Model Of Parkinson’s Disease In Large Electronic Health Records Database (2016) (1)
- Take a moderndive into introductory linear regression with R (2021) (1)
- Tidy Characterizations of Model Performance [R package yardstick version 0.0.7] (2020) (1)
- A Review of the Predictive Modeling Process (2019) (0)
- Case Study: Compressive Strength of Concrete Mixtures (2013) (0)
- Handling Missing Data (2019) (0)
- Greedy Search Methods (2019) (0)
- A Collection of Contrast Methods [R package contrast version 0.22] (2020) (0)
- stacks: Stacked Ensemble Modeling with Tidy Data Principles (2022) (0)
- Fits Models Inside the Database [R package modeldb version 0.2.2] (2020) (0)
- Tools for Post-Processing Class Probability Estimates [R package probably version 0.0.6] (2020) (0)
- Engineering Numeric Predictors (2019) (0)
- Global Search Methods (2019) (0)
- Construct Modeling Packages [R package hardhat version 0.1.5] (2020) (0)
- Working with Profile Data (2019) (0)
- Model Butcher [R package butcher version 0.1.2] (2020) (0)
- Exploratory Visualizations (2019) (0)
- | Encoding Categorical Predictors (2019) (0)
- Classification Using C5.0 (2013) (0)
- Case Study: Job Scheduling (2013) (0)
- A Summary of Solubility Models (2013) (0)
- Detecting Interaction Effects (2019) (0)
- Quantitative-Structure Activity Relationship Modeling and Cheminformatics (2016) (0)
- Correlations in R [R package corrr version 0.4.2] (2020) (0)
- Illustrative Example: Predicting Risk of Ischemic Stroke (2019) (0)
- Common S3 Generics not Provided by Base R Methods Related to Model Fitting [R package generics version 0.1.0] (2020) (0)
- The Ames Iowa Housing Data [R package AmesHousing version 0.0.4] (2020) (0)
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