OOIR: Observatory of International Research

Papers

(The TQCC of Technometrics is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)

Article	Citations
2022 Ziegel Award Announcement	33
Handbook of Measurement Error Models	23
Foundations of Statistics for Data Scientists: With R and Python	22
Statistical Universals of Language: Mathematical Chance vs. Human Choice	21
Modern Data Science with R (2nd ed.)	20
Emulating simulation experiments with grounding using a two-stage classification-regression model	20
Advanced Statistical Methods	19
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice	19
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)	17
The Science of Hockey: The Math, Technology, and Data Behind the Sport The Science of Hockey: The Math, Technology, and Data Behind the Sport Edited by Kevin Snow, Forew	17
Mathematical Analysis and Optimization for Economists	17
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space	17
Thoughts on Forward-Inverse Maps	16
The 2023 Technometrics Prizes	14
Just Enough Data Science and Machine Learning	14
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	12
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	11
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing	11
Partial Least Squares Regression: and Related Dimension Reduction Methods	10
The 2024 Technometrics Prizes	10
A Local Variational Inference Framework for the Orthogonal Gaussian Process Calibration	10
Hands-On Data Science for Librarians Hands-On Data Science for Librarians Sarah Lin and Dorris Scott, Boca Raton, FL: CRC Press, 2023, 200 pp., $69.95, ISBN: 97810032180	10
Deep Latent Factor Model for Spatio-Temporal Forecasting	10
A General Framework For Modeling Gaussian Process with Qualitative and Quantitative Factors	9
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning	9

Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation	9
Bayesian Semiparametric Local Clustering of Multiple Time Series Data	9
An Adaptive Sampling Strategy for Online Monitoring of Partially Observed Networks	8
Degradation Data Analysis based on Wiener Process with a Nonlinear Drift and a Stochastic Volatility	8
Hybrid Smoothing for Anomaly Detection in Time Series	8
Discussion of “Experimental Design and Modeling for Forward-Inverse Maps” by R. Barton & M. Morris, appearing in Technometrics	8
Privacy-Aware Gaussian Process Regression	8
An Adjacency-Adaptive Gaussian Process Method for Sample Efficient Response Surface Modeling and Test-Point Acquisition	8
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion	7
Optimal Planning of Destructive Degradation Tests	7
A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation	7
A Course in the Large Sample Theory of Statistical InferenceA Course in the Large Sample Theory of Statistical Inference, W. J. Hall and D. Oakes, Boca Raton, FL: Chapman and Hall, CRC Press, 2024, x	7
On Statistical Properties of a Veracity Scoring Method for Spatial Data	7
Bayesian Optimization via Exact Penalty	7
Robust Latent Feature Learning for Incomplete Big Data	7
Detecting Influential Observations in Single-Index Fréchet Regression	7
Constrained Bayesian Optimization with Lower Confidence Bound	7
Computational and Analytic Methods in Biological Sciences, 1st ed. Computational and Analytic Methods in Biological Sciences, 1st ed. , Edited by Akshara Makrariya, Braj	6
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models	6
The 2021 Technometrics Prizes	6
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events	6
Probability Modeling and Statistical Inference in Cancer Screening	6
Applied Regularization Methods for the Social Sciences	6
Predictive Safety Analytics; Reducing Risk through Modeling and Machine Learning	6
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges	6
A Sharper Computational Tool for Regression	5
Efficient Active Learning Strategies for Computer Experiments	5
Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction	5
Cellwise Outlier Detection in Heterogeneous Populations	5
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin	5
Kernel-based Sensitivity Analysis for (Excursion) Sets	5
A Periodic Fractional Wiener Process for Remaining Useful Life Prediction of Photovoltaic Systems with Long-Range Dependence	5
Principles of Biostatistics	5
Detecting Changes in Covariance via Random Matrix Theory	5
Optimal Experimental Designs for Process Robustness Studies	5
Correlation in Engineering and the Applied Sciences: Applications in R	5
A General Framework for Robust Monitoring of Multivariate Correlated Processes	4
Symbolic Regression	4
Towards Improved Heliosphere Sky Map Estimation with Theseus	4
Handbook of Statistical Methods for Randomized Controlled Clinical Trials	4
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations	4
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition	4
Screening Designs for Continuous and Categorical Factors	4
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	4
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection	4
Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction	3
Robust Multivariate Functional Control Chart	3
Math and Art: An Introduction to Visual Mathematics, 2nd ed.,	3
Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data	3
Machine Learning For Transportation Research and Application	3

Information Sharing for Robust and Stable Cross-Validation	3
Technometrics 2023 Associate Editors	3
Luck, Logic, and White Lies: The Mathematics of Games; 2nd ed.Jörg Bewersdorff, translated by David Kramer, Boca Raton, FL: A.K. Peters/CRC Press, Taylor & Francis Group, 2021, xx + 548 pp., $ 47.	3
Transfer Learning with Large-Scale Quantile Regression	3
Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments	3
Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance	3
Skew-Normal Model Theories and Their Applications	3
Functional Outlier Detection for Density-Valued Data with Application to Robustify Distribution-to-Distribution Regression	3
Constructing a Simulation Surrogate with Partially Observed Output	3
Maximum One-Factor-At-A-Time Designs for Screening in Computer Experiments	3
Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees	3
Remaining Useful Life Prediction Based on Forward Intensity	3
Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning , Edite	3
Special Integrals	3
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors	3
PICS: A Sequential Approach to Obtain Optimal Designs for Nonlinear Models Leveraging Closed-Form Solutions for Faster Convergence	3
Advances in Data Science and Analytics: Concepts and Paradigms (1st ed.)	3
Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data	3
Change Point Analysis: Theory and Application	3
AI, Machine Learning and Deep Learning a Security PerspectiveEdited by Fei Hu, Xiali Hei, Boca Raton, FL:CRC Press, 2023, 346 pp., 136 B/W Illustrations, GBP 99.99 (Hardback), ISBN 9781032034041, http	3
Adventures in Recreational Mathematics, Vol. 1 Adventures in Recreational Mathematics, Vol. 1 , by David Singmaster, Singapore: World Scientific, 2021, 316 pp., $38.00(p	3
Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models	3
Text as Data: A New Framework for Machine Learning and the Social Sciences	3