Nicole Lazar | Academic Influence

Nicole Lazar's AcademicInfluence.com Rankings

Nicole Lazar

Mathematics

#5424

World Rank

#7632

Historical Rank

#1780

USA Rank

Statistics

#401

World Rank

#469

Historical Rank

#129

USA Rank

mathematics Degrees

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Mathematics

Nicole Lazar's Degrees

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

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Why Is Nicole Lazar Influential?

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According to Wikipedia, Nicole Alana Lazar is a statistician who holds triple citizenship as an American, Canadian, and Israeli. She is a professor of statistics at the University of Georgia, where she is acting head of the statistics department. Her research interests include empirical likelihood, functional neuroimaging, model selection and the history and sociology of statistics.

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Nicole Lazar'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

Statistical Analysis With Missing Data (2003) (12813)
Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate (2002) (4851)
The ASA Statement on p-Values: Context, Process, and Purpose (2016) (4258)
Moving to a World Beyond “p < 0.05” (2019) (1660)
Maturation of cognitive processes from late childhood to adulthood. (2004) (1206)
Statistics of Extremes: Theory and Applications (2005) (764)
Methods and Criteria for Model Selection (2004) (412)
Neocortical system abnormalities in autism: An fMRI study of spatial working memory (2002) (352)
Combining Brains: A Survey of Methods for Statistical Pooling of Information (2002) (224)
FUNCTIONAL BRAIN ABNORMALITIES ARE RELATED TO CLINICAL RECOVERY AND TIME TO RETURN‐TO‐PLAY IN ATHLETES (2007) (211)
Bayesian empirical likelihood (2003) (198)
Testing Statistical Hypotheses of Equivalence (2003) (195)
A Comparison of Spanish Second Language Acquisition in Two Different Learning Contexts: Study Abroad and the Domestic Classroom. (2004) (142)
Language Learning Abroad: How Do Gains in Written Fluency Compare with Gains in Oral Fluency in French as a Second Language?. (2003) (107)
The arc-transversal median algorithm: a geometric approach to increasing ultrasonic sensor azimuth accuracy (2003) (100)
Multi-objective optimal experimental designs for event-related fMRI studies (2009) (85)
ASA Statement on Statistical Significance and p-Values (2020) (71)
Statistical Issues in fMRI for Brain Imaging (2001) (55)
Semantic-based Biomedical Image Indexing and Retrieval (2003) (40)
Assessing the sensitivity of fMRI group maps (2004) (39)
An evaluation of the power and conditionality properties of empirical likelihood (1998) (38)
A Meta‐Analysis of fMRI Activation Differences during Episodic Memory in Alzheimer's Disease and Mild Cognitive Impairment (2015) (35)
The Challenge of Functional Magnetic Resonance Imaging (1999) (35)
Empirical likelihood in the presence of nuisance parameters (1999) (32)
Understanding the role of facial asymmetry in human face identification (2007) (30)
Estimation and classification of fMRI hemodynamic response patterns (2004) (30)
The arc-transversal median algorithm: an approach to increasing ultrasonic sensor accuracy (1999) (30)
Selection of Working Correlation Structure in Generalized Estimating Equations via Empirical Likelihood (2012) (29)
Volubility of the human infant: Effects of parental interaction (or lack of it) (2016) (28)
A multiscale analysis of the temporal characteristics of resting-state fMRI data (2010) (23)
A Capstone Course for Undergraduate Statistics Majors (2011) (22)
Bayesian empirical likelihood for ridge and lasso regressions (2020) (22)
Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging (2014) (20)
Discussion of “Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition” by Vul et al. (2009) (2009) (17)
Nonparametric variogram modeling with hole effect structure in analyzing the spatial characteristics of fMRI data (2015) (17)
Geostatistical analysis in clustering fMRI time series (2009) (16)
Sparse geostatistical analysis in clustering fMRI time series (2011) (16)
The neural correlates of habituation of response to startling tactile stimuli presented in a functional magnetic resonance imaging environment (2006) (15)
Hypothesis testing, power and sample size determination for between group comparisons in fMRI experiments. (2009) (15)
Practice‐related changes in neural activation patterns investigated via wavelet‐based clustering analysis (2013) (14)
Persistence Terrace for Topological Inference of Point Cloud Data (2017) (13)
Computing Critical Values of Exact Tests by Incorporating Monte Carlo Simulations Combined with Statistical Tables (2014) (12)
Some properties of generalized fused lasso and its applications to high dimensional data (2015) (11)
Quantile estimation for discrete data via empirical likelihood (2010) (10)
A SHORT SURVEY ON CAUSAL INFERENCE, WITH IMPLICATIONS FOR CONTEXT OF LEARNING STUDIES OF SECOND LANGUAGE ACQUISITION (2004) (10)
Assessing the Effect of Individual Data Points on Inference From Empirical Likelihood (2005) (8)
The Big Picture: Divide and Combine to Conquer Big Data (2018) (8)
FEATURE-BASED VS. INTENSITY-BASED BRAIN IMAGE REGISTRATION: COMPREHENSIVE COMPARISON USING MUTUAL INFORMATION (2007) (7)
Ockham's Razor (2010) (7)
Regression shrinkage and grouping of highly correlated predictors with HORSES (2013) (7)
Movies for the Visualization of MCMC Output (2002) (7)
The Big Picture: Big Data Hits the Big Time (2012) (7)
Bayesian Empirical Likelihood Methods for Quantile Comparisons. (2017) (6)
Classi cation-Driven Feature Space Reduction for Semantic-based Neuroimage Retrieval (6)
A Bayesian Generalized CAR Model for Correlated Signal Detection (2015) (5)
The Big Picture: Big Data Computing (2013) (5)
Best practices for selecting samples, analyzing data, and publishing results in isotope archaeology (2022) (5)
Introduction: Special Issue on Data Science (2018) (4)
Finding common task‐related regions in fMRI data from multiple subjects by periodogram clustering and clustering ensemble (2016) (4)
The Big Picture: Multiplicity Control in Large Data Sets Presents New Challenges and Opportunites (2012) (4)
Bootstrapping GEE models for fMRI regional connectivity (2012) (4)
The Big Picture: Data, Data, Everywhere … (2013) (3)
Corbelled Domes in Two and Three Dimensions: The Treasury of Atreus (2004) (3)
A Review of Empirical Likelihood (2021) (3)
Statistical Issues in fMRI Data Analysis (2008) (3)
Threshold determination using the false discovery rate (2001) (3)
Improving COVID-19 Forecasting using eXogenous Variables (2021) (2)
Using numerical methods to find the least favorable configuration when comparing k test treatments with both positive and negative controls (2006) (2)
Split sample empirical likelihood (2017) (2)
The Big Picture: Crowdsourcing Your Way to Big Data (2019) (2)
The Big Picture: The Arts—Digitized, Quantified, and Analyzed (2013) (2)
The Big Picture: Take Me Out to the Ball Game (2014) (2)
The Big Picture: Functional Data Analysis (2014) (2)
The Big Picture: Preparing Students for a Data-centric World (2015) (2)
A generalized estimating equations approach for resting-state functional MRI group analysis (2011) (2)
Cost‐efficient selection of a marker panel in genetic studies (2012) (2)
The Big Picture: Symbolic Data Analysis (2013) (2)
Hypothesis testing for shapes using vectorized persistence diagrams (2020) (2)
Empirical likelihood-based hot deck imputation methods (2012) (1)
Corrections for Multiplicity in Functional Neuroimaging Data (2016) (1)
Noise and Data Preprocessing (2008) (1)
Statistical Analysis of Functional Magnetic Resonance Imaging Data (2017) (1)
SOCIAL NETWORK MODELS FOR IDENTIFYING ACTIVE BRAIN REGIONS FROM FMRI DATA (2010) (1)
Movies for the Visualization of Output from a Bayesian Analysis of Corbelled Domes (2003) (1)
Feature-based vs . intensity-based brain image registration : voxel level and structure level performance evaluation (2006) (1)
Multiple Testing in fMRI: The Problem of “Thresholding” (2008) (1)
The Big Picture: Big Data and Privacy (2015) (1)
An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model (2020) (1)
Assessing and Improving Prediction and Classification, Theory and Algorithms in C++ (2017) (1)
Scale Reliant Inference (2022) (1)
Case Study: Eye Motion Data (2008) (1)
Bayesian Methods in fMRI (2008) (1)
The Big Picture: Now Trending on Twitter… (2015) (0)
The Big Picture: Functional Magnetic Resonance Imaging—Introduction to a Neuroimaging Modality (2012) (0)
The Arts—Digitized, Quantified, and Analyzed (2014) (0)
Evaluation of the inverse U-shaped activation hypothesis in Alzheimer's disease and mild cognitive impairment: A quantitative meta-analysis of functional imaging research (2013) (0)
The Big Picture: Big Data and Privacy (2015) (0)
Piecewise Empirical Likelihood (2016) (0)
A Picture Can Be Worth a Thousand Formulae - An Adventure in Model Fitting (2002) (0)
Radical and Not-So-Radical Principles and Practices: Discussion of Meng (2022) (0)
Composite empirical likelihood (2015) (0)
Basic Statistical Analysis (2008) (0)
The Big Picture: Imagining Genetics: A Tale of Two Modalities (2016) (0)
Basis Function Approaches (2008) (0)
Design of fMRI Experiments (2008) (0)
The Science of fMRI (2008) (0)
Comprar The Statistical Analysis of Functional MRI Data | Lazar, Nicole A. | 9780387781907 | Springer (2008) (0)
Book Reviews (2011) (0)
Comment (2007) (0)
Estimation and Classification of BOLD Responses Over Multiple Trials (2009) (0)
Temporal, Spatial, and Spatiotemporal Models (2008) (0)
A Look at Multiplicity Through Misclassification (2016) (0)
Teaching through the language of feelings: An Interpretative Phenomenological Analysis of Psychoeducational Implications for Young EAL Children (2018) (0)
Here's to Your Health (2004) (0)
Using Classical and Resampling Methods for Face Recognition based on Quantified Asymmetry Measures (2003) (0)
A group comparison in fMRI data using a semiparametric model under shape invariance (2022) (0)
The Big Picture: On Mice, Badges for your CV, and the Big Data Backlash … (2014) (0)
Editors' Note (2015) (0)
How to write about alternatives to classical hypothesis testing outside of the statistical literature: Approximate Bayesian model selection applied to a biomechanics study (2022) (0)
Data, Data, Everywhere… (2020) (0)
The Shape of Things: Topological Data Analysis (2021) (0)
Functional neuroimaging in the era of Big Data and Open Science: A modern overview (2023) (0)
Method of Moments Histograms (2019) (0)
Evaluation of the Use of P Values in Neurosurgical Literature: from Statistical Significance to Clinical Irrelevance. (2022) (0)
The Big Picture (2012) (0)
Comment (2011) (0)
Discussion of “Fiber direction estimation in diffusion MRI” (2016) (0)
Special Section in TAS Celebrates 175th Anniversary of ASA: Special Section in TAS Celebrates 175th Anniversary of ASA (2015) (0)
The Neuroscience of Human Connection and Leadership (2020) (0)
Additional Statistical Issues (2008) (0)
Math Chaps and other Oddities: Statisticians in Literature (2003) (0)

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Other Resources About Nicole Lazar

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What Schools Are Affiliated With Nicole Lazar?

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