Kimberly Sellers | Academic Influence

Kimberly Sellers's AcademicInfluence.com Rankings

Kimberly Sellers

Mathematics

#7876

World Rank

#10692

Historical Rank

#2117

USA Rank

Statistics

#1100

World Rank

#1203

Historical Rank

#218

USA Rank

mathematics Degrees

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Mathematics

Kimberly Sellers's Degrees

PhD Statistics Stanford University
Masters Statistics University of California, Berkeley
Bachelors Mathematics University of California, Berkeley

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Why Is Kimberly Sellers Influential?

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According to Wikipedia, Kimberly Flagg Sellers is an American statistician. She has been the head of the statistics department at North Carolina State University since 2023, where she is the first Black woman in the university's history to lead a science department. Previously, Dr. Sellers was a full professor of statistics at Georgetown University and a principal researcher in the Center for Statistical Research and Methodology of the United States Census Bureau, the former chair of the Committee on Women in Statistics of the American Statistical Association, a Fellow of the American Statistical Association, and an elected member of the International Statistical Institute. She specializes in count data and statistical dispersion, and is "the leading expert" on the Conway–Maxwell–Poisson distribution for count data. She has also worked in the medical applications of statistics, and in image analysis for proteomics.

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Kimberly Sellers'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

A Flexible Regression Model for Count Data (2008) (222)
The COM-Poisson model for count data: a survey of methods and applications (2012) (156)
A flexible zero-inflated model to address data dispersion (2016) (54)
A generalized statistical control chart for over‐ or under‐dispersed data (2012) (50)
Data Dispersion: Now You See It… Now You Don't (2013) (40)
Grouping nanomaterials : A strategy towards grouping and read-across (2015) (36)
Bivariate Conway-Maxwell-Poisson distribution: Formulation, properties, and inference (2016) (34)
Underdispersion models: Models that are “under the radar” (2017) (31)
Lights, Camera, Action! Systematic variation in 2‐D difference gel electrophoresis images (2007) (25)
Conway–Maxwell–Poisson regression models for dispersed count data (2020) (16)
Bridging the Gap: A Generalized Stochastic Process for Count Data (2017) (15)
Predicting Censored Count Data with COM-Poisson Regression (2010) (14)
Modelling the effect of climate change on prevalence of malaria in western Africa (2010) (13)
A flexible distribution class for count data (2017) (13)
Zero-inflated sum of Conway-Maxwell-Poissons (ZISCMP) regression (2019) (11)
A Regression Model for Count Data with Observation-Level Dispersion (2009) (10)
A Flexible Univariate Autoregressive Time‐Series Model for Dispersed Count Data (2019) (8)
Considerations for using fuzzy set theory and probability theory (2002) (8)
Systematic Variation in Genetic Microarray Data (2004) (8)
Feature Detection Techniques for Preprocessing Proteomic Data (2010) (7)
A comparison of imputation procedures and statistical tests for the analysis of two-dimensional electrophoresis data (2010) (7)
The effect of latency variables on repeated measures inference applied to the measurement of risk-taking as a function of psychopathy (2013) (6)
Statistical Analysis of Gel Electrophoresis Data (2012) (6)
Fitting a Flexible Model for Longitudinal Count Data Using the NLMIXED Procedure (2017) (6)
Many‐valued Logic in Multistate and Vague Stochastic Systems (2008) (5)
Characterization of gene expression profiles of normal canine retina and brain using a retinal cDNA microarray. (2008) (5)
Statistical Analysis of Chemical Sensor Data (2012) (4)
Race Matters: Analyzing the Relationship between Colorectal Cancer Mortality Rates and Various Factors within Respective Racial Groups (2014) (4)
A comparison of imputation procedures and statistical tests for the analysis of two-dimensional electrophoresis data (2010) (4)
Multidimensional Median Filters for Finding Bumps (2009) (3)
A flexible univariate moving average time-series model for dispersed count data (2021) (3)
A Flexible Multivariate Distribution for Correlated Count Data (2021) (3)
A flexible regression model for zero- and k-inflated count data (2021) (3)
SIMULATING DISCRETE SPATIALLY CORRELATED POISSON DATA ON A LATTICE (2008) (2)
Lights, Camera, Action! - Systematic Variation in Difference Gel Electrophoresis (2004) (2)
Characterization of gene expression profiles of normal canine retina and brain using a retinal cDNA microarray. (2006) (2)
A Conway-Maxwell-multinomial distribution for flexible modeling of clustered categorical data (2019) (2)
Correction to: a flexible distribution class for count data (2017) (1)
Linking probability theory and fuzzy sets : a study in uncertainty assessment (2002) (1)
The Conway–Maxwell–Poisson Distribution (2023) (1)
Introducing a Conway-Maxwell-Multinomial Distribution for Flexible Modeling of Categorical Data (2019) (1)
Multidimensional Median Filters for Finding Bumps in Chemical Sensor Datasets (2012) (1)
Rejoinder: The COM-Poisson Model for count data: A survey of methods and applications (2012) (1)
Surviving Graduate School: What Happens in Session, Stays in Session (2014) (1)
A flexible bivariate distribution for count data expressing data dispersion (2021) (1)
Bayesian methods (2002) (1)
Correlation induced by missing spatial covariates: a connection between variance components models and kriging (2019) (1)
A flexible distribution class for count data (2017) (0)
5. Considerations for Using Fuzzy Set Theory and Probability Theory (2002) (0)
A Statistical Analysis of Weight Gain During the Freshman Year of College (2015) (0)
Addressing Implicit Bias Among Women Statisticians and Data Scientists (2017) (0)
“Small” Data (2022) (0)
Many Valued Logic in Vague and Multi-State Stochastic Systems (2003) (0)
Reply (2017) (0)
A Generalized Stochastic Process for Count Data (2014) (0)
0 Statistical Analysis of Gel Electrophoresis Data (2012) (0)
The effect of latency variables on repeated measures inference applied to the measurement of risk-taking as a function of psychopathy (2011) (0)
A flexible univariate moving average time-series model for dispersed count data (2021) (0)
Dispersed Methods for Handling Dispersed Count Data (2022) (0)
Correction to: a flexible distribution class for count data (2017) (0)
0 Statistical Analysis of Chemical Sensor Data (2011) (0)
A Flexible Mixed Model for Clustered Count Data (2022) (0)
4. Bayesian Methods (2002) (0)

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