Kary Myers | Academic Influence

Kary Myers's AcademicInfluence.com Rankings

Kary Myers

Mathematics

#8172

World Rank

#11101

Historical Rank

Statistics

#1214

World Rank

#1324

Historical Rank

mathematics Degrees

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Mathematics

Kary Myers's Degrees

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

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Why Is Kary Myers Influential?

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According to Wikipedia, Kary Lynn Myers is an American statistician whose research has included work on scientific data analysis and radiation monitoring. She is a scientist at the Los Alamos National Laboratory, where she has been the deputy leader of the Statistical Sciences group. She is also known as the founder and organizer of the biennial Conference on Data Analysis , for data-driven research within the United States Department of Energy.

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Kary Myers'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 Boosting Approach to Topic Spotting on Subdialogues (2000) (38)
ADR visualization: A generalized framework for ranking large-scale scientific data using Analysis-Driven Refinement (2014) (34)
Alarm criteria in radiation portal monitoring. (2007) (31)
Taming massive distributed datasets: data sampling using bitmap indices (2013) (27)
Partitioning a Large Simulation as It Runs (2014) (27)
Effective and efficient data sampling using bitmap indices (2014) (19)
Sparse classification of rf transients using chirplets and learned dictionaries (2011) (11)
Data for training and testing radiation detection algorithms in an urban environment (2020) (10)
Radio frequency (RF) transient classification using sparse representations over learned dictionaries (2011) (9)
Gaussian Process-Based Sensitivity Analysis and Bayesian Model Calibration with GPMSA (2017) (9)
Signatures for several types of naturally occurring radioactive materials. (2008) (9)
How to Host An Effective Data Competition: Statistical Advice for Competition Design and Analysis (2019) (8)
Classification of transient signals using sparse representations over adaptive dictionaries (2011) (8)
State‐space models for optical imaging (2007) (8)
An Adaptive Modeling Framework for Bivariate Data Streams with Applications to Change Detection in Cyber-Physical Systems (2017) (7)
Improved learning from data competitions through strategic design of training and test data sets (2019) (7)
Effects of background suppression of gamma counts on signal estimation. (2009) (6)
Capturing dynamics on multiple time scales: a multilevel fusion approach for cluttered electromagnetic data (2010) (6)
Imaging the Living Brain (2007) (6)
How to Host a Data Competition: Statistical Advice for Design and Analysis of a Data Competition. (2019) (5)
LANL CSSE L2: Case Study of In Situ Data Analysis in ASC Integrated Codes (2013) (5)
Randomized Algorithms for Scientific Computing (RASC) (2021) (4)
Change Detection Using Wavelets in Solution Monitoring Data for Nuclear Safeguards (2013) (4)
The weighted priors approach for combining expert opinions in logistic regression experiments (2017) (4)
An In Situ Approach for Approximating Complex Computer Simulations and Identifying Important Time Steps (2014) (3)
Data for training and testing radiation detection algorithms in an urban environment (2020) (1)
ATOMIC Simulations and Experimental Data for Sodium and Copper Mixtures (2020) (1)
A comparison of methods for estimating broadband noise in the frequency domain (2011) (1)
Radiation Detection Data Competition Report (2021) (1)
Structured discrepancy in Bayesian model calibration for ChemCam on the Mars Curiosity rover (2020) (1)
DATA MINING IN RADIATION PORTAL MONITORING (2013) (1)
Discussion of ‘data science: An action plan for expanding the technical areas of the field of statistics’ (2014) (1)
Estimating Scale Discrepancy in Bayesian Model Calibration for ChemCam on the Mars Curiosity Rover (2020) (1)
Cached Sufficient Statistics for Automated Mining and Discovery from Massive Data Sources (1999) (1)
Effective and efficient data sampling using bitmap indices (2014) (0)
Point-Source Detection Using Gamma-Ray Spectra in Radiation-Portal Monitoring (2013) (0)
ATOMIC Simulations and Experimental Data for Basalt-like Compounds (2020) (0)
Applications of wavelet analysis to solution monitoring data for nuclear safeguards (2011) (0)
VIS AND ANALYSIS R&D FOR LARGE-SCALE DATA (2013) (0)
Capturing dynamics on multiple time scales: A hybrid approach for cluttered electromagnetic data (2009) (0)
Special Issue: Conference on Data Analysis (CoDA)—Exploring Data-Focused Research across the Department of Energy (2013) (0)
Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection (2022) (0)
A Kalman Filter Primer, Randy L. Eubank (2007) (0)
CoDA 2014 special issue: Exploring data‐focused research across the department of energy (2015) (0)
Annotated Bibliography for the MATADOR Project (2012) (0)
An initial exploration of Bayesian model calibration for estimating the composition of rocks and soils on Mars (2020) (0)
Terchnometrics Highlights: Special Terchnometrics Issu: Conference on Data Analysis (2013) (0)

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What Schools Are Affiliated With Kary Myers?

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