Norman Matloff

Q: What Schools Are Affiliated With Norman Matloff

Norman Matloff is affiliated with the following schools: University of California, Los Angeles, University of California, Davis, Stanford University

Norman Matloff's AcademicInfluence.com Rankings

Norman Matloff

Computer Science

#1472

World Rank

#1523

Historical Rank

#724

USA Rank

Database

#9003

World Rank

#9465

Historical Rank

#1243

USA Rank

computer-science Degrees

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Computer Science

Why Is Norman Matloff Influential?

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According to Wikipedia, Norman Saul Matloff is an American professor of computer science at the University of California, Davis. Early life Norman Saul Matloff was born on December 16, 1948. Matloff received his Doctor of Philosophy degree in 1975 from the mathematics department at the University of California, Los Angeles under the supervision of Thomas M. Liggett. His dissertation was titled Equilibrium Behavior in an Infinite Voting Model.

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Norman Matloff'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

Availability-Aware Provisioning Strategies for Differentiated Protection Services in Wavelength-Convertible WDM Mesh Networks (2007) (108)
A modified random perturbation method for database security (1994) (88)
On the Need for Reform of the H-1B Non-Immigrant Work Visa in Computer-Related Occupations (2003) (86)
The Art of R Programming: A Tour of Statistical Software Design (2011) (86)
Polynomial Regression As an Alternative to Neural Nets (2018) (60)
Statistical Regression and Classification: From Linear Models to Machine Learning (2017) (54)
Offshoring: What Can Go Wrong? (2005) (47)
A User's Guide to Network Analysis in R (2016) (46)
Future applications of ordered polymeric thin films (1987) (44)
Use of regression functions for improved estimation of means (1981) (43)
Statistical hypothesis testing in biology: a contradiction in terms. (1986) (41)
Another Look at the Use of Noise Addition for Database Security (1986) (36)
Globalization and the American IT worker (2004) (32)
A Synchronization Attack and Defense in Energy-Efficient Listen-Sleep Slotted MAC Protocols (2008) (30)
Dynamic control and accuracy of the pi-persistent protocol using channel feedback (1991) (30)
Immigration and the tech industry: As a labour shortage remedy, for innovation, or for cost savings? (2013) (28)
Debunking the Myth of a Desperate Software Labor Shortage (2001) (28)
Estimation of internet file-access/modification rates from indirect data (2005) (26)
The Art of Debugging with GDB, DDD, and Eclipse (2008) (25)
A Probabilistic Limit on the Virtual Size of Replicated Disk Systems (1992) (18)
Software Alchemy: Turning Complex Statistical Computations into Embarrassingly-Parallel Ones (2014) (18)
Parallel Computing for Data Science: With Examples in R, C++ and Cuda (2015) (17)
Ergodicity Conditions for a Dissonant Voting Model (1977) (17)
Performance of Priority Queue Structures in a Virtual Memory Environment (1991) (16)
A comparison of two methods for estimating optimal weights in regression analysis (1984) (15)
KarmaNET: Leveraging trusted social paths to create judicious forwarders (2009) (14)
Statistical Hypothesis Testing: Problems and Alternatives (1991) (13)
Selectivity estimation using homogeneity measurement (1990) (12)
A Multiple-Disk System for Both Fault Tolerance and Improved Performance (1987) (12)
Inference Control Via Query Restriction Vs. Data Modification: A Perspective (1988) (12)
Dynamic control of the p/sub i/-persistent protocol using channel feedback (1989) (11)
Revisiting the Issue of Performance Enhancement of Discrete Event Simulation Software (2007) (10)
On the Value of Predictive Information in a Scheduling Problem (1989) (10)
Inter-Profile Similarity (IPS): A Method for Semantic Analysis of Online Social Networks (2009) (10)
Algorithm AS 148: The Jackknife (1980) (8)
Programming on Parallel Machines: GPU, Multicore, Clusters and More (2012) (8)
Using Soft-Line Recursive Response to Improve Query Aggregation in Wireless Sensor Networks (2008) (6)
Message R eaper : Using Social Behavior to Reduce Malicious Activity in Networks (2008) (6)
Optimul: An optional interconnect for multiprocessor systems (1988) (5)
Health plan (2015) (5)
A 'greedy' approach to the write problem in shadowed disk systems (1990) (5)
A Different Approach to the Problem of Missing Data (2015) (4)
How immigration harms minorities. (1996) (4)
Estimating a mixing distribution in a multiple observation setting (1990) (4)
Statistics Losing Ground to Computer Science (2014) (4)
Probability modeling and computer simulation : an integrated introduction with applications to engineering and computer science (1990) (3)
Quick Introduction to Nonnegative Matrix Factorization (2016) (3)
James - stein regression estimation in a prediction context (1982) (3)
Numerical Python: A Practical Techniques Approach for Industry (2016) (3)
Probability and Statistics for Data Science (2019) (3)
Network-specific performance enhancements for PVM (1995) (3)
A New Method for Avoiding Data Disclosure While Automatically Preserving Multivariate Relations (2015) (3)
Big-n versus Big-p in Big Data (2016) (3)
PerlDSM: A Distributed Shared Memory System for Perl (2002) (3)
Book Reviews (2018) (3)
The asymptotic distribution of an estimator of the Bayes error rate (1984) (3)
Long Live (Big Data-fied) Statistics! (2013) (3)
Toward a Statistical Foundation for Data Mining (2002) (2)
A. Aneesh, Virtual Migration: The Programming of Globalization (2008) (2)
Probability and Statistics for Data Science: Math + R + Data (2019) (2)
R for Cloud Computing (2014) (2)
MULTI-STREAM FASTER RCNN WITH ELA FOR IMAGE TAMPERING DETECTION (2019) (2)
Use of covariates in randomized response settings (1984) (2)
The 'Curse of Dimensionality' in Database Security (1988) (2)
A dissonant voting model: Nonergodic case (1980) (2)
Modernizing k‐nearest neighbors (2020) (1)
Regression and Classification in Big Data (2017) (1)
An argument against scalable cache coherency (1991) (1)
Having your cake and eating it too: Scripted workflows for image manipulation (2017) (1)
The H-1B Visa Controversy (2016) (1)
Fast, General Parallel Computation for Machine Learning (2018) (1)
revisit: a Workflow Tool for Data Science (2017) (1)
TupleDSM: an educational tool for software distributed shared memory (1999) (1)
Top-Frequency Parallel Coordinates Plots (2017) (1)
Linear Regression Models (2017) (1)
A New Method for Rule Finding Via Bootstrapped Confidence Intervals (2008) (1)
The R Student Companion (2013) (1)
A Careful Look at the Use of Statistical Methodology in Data Mining (2005) (1)
A Modified Random Perturbation for Database Security (1994) (1)
A Global Audience Deserves a Global Perspective (2005) (1)
Review of Virtual Migration, by A. Aneesh (2008) (1)
IBM Microcomputer Architecture and Assembly Language: A Look Under The Hood (1991) (0)
Generalized Linear and Nonlinear Models (2017) (0)
Introduction to ggplot 2 N (2013) (0)
Fast Lane to Python: A Quick, Sensible Route to the Joys of Python Coding (2014) (0)
Multivariate Description and Dimension Reduction (2019) (0)
Introduction to ggplot 2 N . Matloff November 26 , 2011 1 Introduction (2011) (0)
R Language: A Powerful Tool for Taming Big Data (2019) (0)
Predictive Modeling (2019) (0)
Use of lattice structures for reduction of simulation run time (1984) (0)
Model Parsimony and Overfitting (2019) (0)
Performance analysis of the OPTIMUL multiprocessor interconnect (1989) (0)
Optical Shared Memory (1989) (0)
Analysis of a Programmed Backoff Method for Parallel Processing on Ethernets (1998) (0)
Discrete Random Variables: Expected Value (2019) (0)
Parallel R, Revisited (2009) (0)
Feature Ordering by Conditional Independence [R package FOCI version 0.1.2] (2020) (0)
Model Fit Assessment and Improvement (2017) (0)
The R Language: A Powerful Tool for Taming Big Data (2019) (0)
The Art of Debugging with GDB/DDD: For Professionals and Students (2003) (0)
Discrete Random Variables: Variance (2019) (0)
Partition-Based Methods (2017) (0)
A statistical tool for estimating price/performance ratios in heterogeneous parallel systems (1998) (0)
How Widespread Is the Use of the H-1 B Visa for Reducing Labor Costs ? (2011) (0)
The ’ revisit ’ Package As a Teaching Tool (2018) (0)
Introduction to Statistical Inference (2019) (0)
A prediction-based flow control policy for ISDN token rings (1988) (0)
Discrete Parametric Distribution Families (2019) (0)
Multivariate Distributions (2019) (0)
A Formal Model to Analyze and Compare Reputation Systems for Distributed Networks (2009) (0)
United States Patent ( 19 ) Kowel et al . ( 54 ELECTRO-OPTICAL INTERFACE (2017) (0)
The Family of Normal Distributions (2019) (0)
Update methods for reduction of computing time in simulation studies (1984) (0)
Distribution-free analysis of repairable fault-tolerant systems (1987) (0)
Mixture Distributions (2019) (0)
Basic Probability Models (2019) (0)
Variable Selection and Dimension Reduction (2017) (0)
Polynomial Regression [R package polyreg version 0.6.7] (2020) (0)
Semi-Linear Methods (2017) (0)
Mixture and Hidden Markov Models: a Uniﬁed Introduction (2022) (0)
TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks (2020) (0)
Improved Estimation of Class Prior Probabilities through Unlabeled Data (2015) (0)
A Novel Regularization Approach to Fair ML (2022) (0)
Statistics: Prologue (2019) (0)
Homoscedasticity and Other Assumptions in Practice (2017) (0)
Point-to-point and Multidrop Links 2 Latency and Bandwidth (0)
Monte Carlo Simulation (2019) (0)
Optical Shared Memory System Demonstration Model (1990) (0)
The Effectiveness of the Programmed Backoff Method in the Presence of Background Traffic (1999) (0)
RWN: A Novel Neighborhood-Based Method for Statistical Disclosure Control (2022) (0)
Continuous Probability Models (2019) (0)
Walk a Mile in Their Shoes: a New Fairness Criterion for Machine Learning (2022) (0)
Foreign Tech Workers in the U.S.: Failures and Remedies (2016) (0)
"Why is My Program so Slow?": Obstacles to Speed (2015) (0)
Decentralized Task Assignment Is Scalable (2000) (0)
An alternative to the analysis of covariance for comparing randomized treatments (1981) (0)
Collaborative Filtering in Recommender Systems : a Short Introduction (2016) (0)
partools: a Sensible Package for Large Data Sets (2017) (0)
Disaggregating Regressor Effects (2017) (0)
The Multivariate Normal Family of Distributions (2019) (0)
Fitting Continuous Models (2019) (0)
Introduction to Discrete Time Markov Chains (2019) (0)
Multiclass Classification Problems (2017) (0)
A New Framework for Random Effects Models (2015) (0)

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Other Resources About Norman Matloff

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What Schools Are Affiliated With Norman Matloff?

Norman Matloff is affiliated with the following schools: