Vijayan Nair | Academic Influence

Vijayan Nair's AcademicInfluence.com Rankings

Vijayan Nair

Mathematics

#5102

World Rank

#7213

Historical Rank

#1703

USA Rank

Statistics

#321

World Rank

#383

Historical Rank

#110

USA Rank

mathematics Degrees

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Mathematics

Vijayan Nair's Degrees

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

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Why Is Vijayan Nair Influential?

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According to Wikipedia, Vijayan N. Nair is currently Head of the Statistical Learning and Advanced Computing Group in Corporate Model Risk at Wells Fargo. He was Donald A. Darling Collegiate Professor of Statistics and Professor of Industrial and Operations Engineering at the University of Michigan, Ann Arbor from 1993 to 2017. He served as Chair of the Statistics Department at Michigan from 1998 to 2010 . Vijay was instrumental in launching the Michigan Institute for Data Science and was recognized as a Distinguished Scientist by MIDAS. Prior to joining Michigan, he spent 15 years as a research scientist in the Mathematical Sciences Research Center at Bell Laboratories in New Jersey.

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Vijayan Nair'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

Taguchi's parameter design: a panel discussion (1992) (673)
Signal-to-noise ratios, performance criteria, and transformations (1988) (562)
A strategy for optimizing and evaluating behavioral interventions (2005) (396)
Web-based smoking-cessation programs: results of a randomized trial. (2008) (256)
The Role of Engagement in a Tailored Web-Based Smoking Cessation Program: Randomized Controlled Trial (2008) (249)
Confidence Bands for Survival Functions With Censored Data: A Comparative Study (1984) (188)
Analyzing dispersion effects from replicated factorial experiments (1988) (140)
Testing in industrial experiments with ordered categorical data (1986) (134)
A REVIEW AND RECENT DEVELOPMENTS (2005) (132)
Estimation of reliability in field-performance studies (1988) (106)
Selective Assembly in Manufacturing: Statistical Issues and Optimal Binning Strategies (2004) (100)
Network tomography: A review and recent developments (2006) (97)
Women’s decisions regarding tamoxifen for breast cancer prevention: responses to a tailored decision aid (2010) (89)
Monitoring wafer map data from integrated circuit fabrication processes for spatially clustered defects (1997) (85)
Explainable Neural Networks based on Additive Index Models (2018) (83)
Model-free estimation of defect clustering in integrated circuit fabrication (1997) (77)
Women’s interest in taking tamoxifen and raloxifene for breast cancer prevention: response to a tailored decision aid (2011) (75)
The Effect of Program Design on Engagement With an Internet-Based Smoking Intervention: Randomized Factorial Trial (2013) (75)
Extremal Depth for Functional Data and Applications (2015) (69)
Analysis of Functional Responses from Robust Design Studies (2002) (66)
Graphical methods for robust design with dynamic characteristics (1997) (65)
On the efficiency and robustness of discrete proportional-integral control schemes (1998) (59)
Screening experiments and the use of fractional factorial designs in behavioral intervention research. (2008) (56)
Chi-Squared-Type Tests for Ordered Alternatives in Contingency Tables (1987) (53)
A randomized trial of an avatar-hosted multiple behavior change intervention for young adult smokers. (2013) (53)
Plots and tests for goodness of fit with randomly censored data (1981) (53)
Estimating Network Loss Rates Using Active Tomography (2006) (53)
Methods for Identifying Dispersion Effects in Unreplicated Factorial Experiments (2001) (52)
Bayesian Inference for Multivariate Ordinal Data Using Parameter Expansion (2008) (49)
Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP) (2018) (49)
A statistical assessment of some software testing strategies and application of experimental design techniques (1998) (45)
Exploring the "active ingredients" of an online smoking intervention: a randomized factorial trial. (2014) (44)
Quality management and quality practice: Perspectives on their history and their future (2009) (40)
Methodologic and design issues in patient-centered e-health research. (2010) (36)
NONPARAMETRIC INFERENCE UNDER BIASED SAMPLING FROM A FINITE POPULATION (1992) (34)
Statistical Aspects of the Analysis of Data Networks (2007) (33)
Bayesian Inference for Some Mixture Problems in Quality and Reliability (2001) (31)
On the Behavior of Some Estimators from Probability Plots (1984) (29)
The Distinct Role of Comparative Risk Perceptions in a Breast Cancer Prevention Program (2011) (28)
Edge Detection, Spatial Smoothing, and Image Reconstruction With Partially Observed Multivariate Data (2003) (25)
Maximum likelihood estimation under a successive sampling discovery model (1989) (25)
Statistical inverse problems in active network tomography (2007) (25)
Unique Optimal Partitions of Distributions and Connections to Hazard Rates and Stochastic Ordering (2006) (22)
Informing the uninformed: optimizing the consent message using a fractional factorial design. (2013) (21)
[Estimation of Reliability in Field-Performance Studies]: Discussion (1988) (21)
Bounds for Reliability Estimation under Dependent Censoring (1993) (20)
Explaining state-to-state differences in seat belt use: A multivariate analysis of cultural variables. (2012) (20)
QUALITY PRACTICES IN JAPAN. (1988) (18)
SHAP values for Explaining CNN-based Text Classification Models (2020) (18)
On testing against ordered alternatives in analysis of variance models (1986) (17)
EXPLOITING THE INHERENT STRUCTURE IN ROBUST PARAMETER DESIGN EXPERIMENTS (1998) (15)
Noise Variable Settings in Robust Design Experiments (2012) (15)
Statistics in Advanced Manufacturing (2000) (15)
Adaptive Explainable Neural Networks (Axnns) (2020) (14)
Maximum Likelihood Estimation of Internal Network Link Delay Distributions Using Multicast Measurements (2003) (11)
Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning (2018) (11)
Supervised Machine Learning Techniques: An Overview with Applications to Banking (2020) (10)
Methodology for feedback variable selection for control of semiconductor manufacturing processes - Part 1: Analytical and simulation results (2003) (10)
Graphical Estimators From Probability Plots With Right-Censored Data (2007) (9)
Extreme (X-)Testing With Binary Data and Applications to Reliability Demonstration (2006) (9)
Statistical Analysis of Oil and Gas Discovery Data (1988) (8)
Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms (2020) (8)
Discovering Functional Neuronal Connectivity from Serial Patterns in Spike Train Data (2014) (7)
Optimal Sequential Selection of Secretaries (1985) (6)
Software reliability assessment using accelerated testing methods (2002) (6)
On the Number of Crossings of Empirical Distribution Functions (1986) (6)
Parametric inference for time‐to‐failure in multi‐state semi‐Markov models: A comparison of marginal and process approaches (2011) (5)
Local area network analysis using end-to-end delay tomography (2005) (5)
Variance Reduction Techniques for Reliability Estimation Using CAE Models (2003) (5)
Methodology for feedback variable selection for control of semiconductor manufacturing processes - Part 2: Application to reactive ion etching (2003) (5)
Design and Analysis of Experiments for Reliability Assessment and Improvement (2004) (5)
7 - Methods for Assessing Distributional Assumptions in One- and Two-Sample Problems (1994) (5)
Cost-effectiveness analysis in health policy decision making: Direct methods for progressive multi-state processes (2012) (4)
Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study (2022) (3)
Bayesian Inference for Ordinal Data Using Multivariate Probit Models (2006) (3)
Bias, Fairness, and Accountability with AI and ML Algorithms (2021) (3)
[Testing in Industrial Experiments with Ordered Categorical Data]: Response (1986) (3)
Self-interpretable Convolutional Neural Networks for Text Classification (2021) (3)
Explaining State-to-State Differences in Seat Belt Use: An Analysis of Socio-Demographic Variables (2011) (3)
Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons (2021) (2)
On a zero-crossing probability (1989) (2)
Application of Multivariate Sensitivity Analysis Techniques to AGCM-Simulated Tropical Cyclones (2018) (2)
A Unique Unbiased Estimator with an Interesting Property (1987) (2)
Statistical Issues in Computer Networks and Traffic Analysis (2010) (2)
SOME FORENSIC ASPECTS OF BALLISTIC IMAGING (2010) (2)
Fast, Moment-Based Estimation Methods for Delay Network Tomography (2008) (2)
[A Critical Look at Accumulation Analysis and Related Methods]: Discussion (1990) (2)
Statistical Inference of Functional Connectivity in Neuronal Networks using Frequent Episodes (2009) (2)
[Is Industrial Statistics Out of Control?]: Comment (1993) (1)
Model Robustness With Text Classification: Semantic-Preserving Adversarial Attacks (2020) (1)
Document Automation Architectures and Technologies: A Survey (2021) (1)
Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition (2022) (1)
IMPACT OF STUDENTS’ PROFILE ON JOB SATISFACTION OF THE TEACHERS IN TIRUNELVELI DISTRICT Dr.N.Rajalingam (2014) (1)
Quantifying Inherent Randomness in Machine Learning Algorithms (2022) (1)
Recent Trends in the Use of Deep Learning Models for Grammar Error Handling (2020) (1)
Optimal design of experiments for modeling processes with feedback control variables (2003) (1)
Special Issue on Statistics in Information Technology (2007) (1)
Some extensions of anova techniques to location-scale models (1982) (1)
Comment: Monitoring Networked Applications With Incremental Quantile Estimation (2006) (0)
Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights (2022) (0)
Reliability Testing and Estimation Using Variance-Reduction Techniques (2004) (0)
Discussion (2004) (0)
Semantics-preserving adversarial attacks in NLP (2020) (0)
Nair : The paper by Box and Meyer deals with some interesting problems that arise in the off-line quality control methods introduced by Taguchi ( see Taguchi and (2010) (0)
International Statistical Institute Satellite Meeting On Statistics in Business , Industry and Risk Management (2013) (0)
Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation (2022) (0)
A comparison of randomized trials and the multi-phase optimization strategy for behavioral interventions (2005) (0)
Discovering Neuronal Connectivity from Serial Patterns in Spike Train Data (2014) (0)
A study on job satisfaction of the school teachers and the effect of the satisfaction on their performance in tirunelveli district (2014) (0)
Appendix to “Extremal Depth for Functional Data and Applications” (2016) (0)
Interpretable Feature Engineering for Time Series Predictors using Attention Networks (2022) (0)
Comment: Monitoring Networked Applications With Incremental (2016) (0)
A METHODOLOGY FOR FEEDBACK VARIABLE SELECTION FOR REAL-TIME FEEDBACK CONTROL APPLIED TO REACTIVE ION ETCHING (1998) (0)
Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA Models (2022) (0)
Sampling from structured populations: Some issues and answers (1981) (0)

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