2026 Andreas Buja: Engineering and Technology Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	43	6020	5805	1671	1546	112	11147

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Engineering and Technology

6020

5805

1671

1546

112

11147

Engineering and Technology

D-Index

Citations

11147

World Ranking

6020

National Ranking

1671

Research.com Recognitions

1994 - Fellow of the American Statistical Association (ASA)

Overview

Andreas Buja is affiliated with the University of Pennsylvania in the United States. Their research spans various domains within mathematics, with a particular concentration in statistics and probability.

The main fields of study in their work include:

Mathematics

More specifically, their subfields of expertise cover:

Statistics and Probability
Genetics
Artificial Intelligence
Cognitive Neuroscience
Molecular Biology

The primary research topics addressed by Buja include:

Statistical Methods and Inference
Statistical Methods and Bayesian Inference
Autism Spectrum Disorder Research
Genomic variations and chromosomal abnormalities
Bayesian Methods and Mixture Models
CRISPR and Genetic Engineering
Statistical Methods in Clinical Trials

Buja's publication record includes a range of papers appearing in both statistical and interdisciplinary venues. Frequent publication venues are:

UNC Libraries
Journal of the Royal Statistical Society Series B (Statistical Methodology)
Communications Biology
Journal of the American Statistical Association
The Annals of Statistics

Notable recent papers by Buja include:

"Rates of contributory de novo mutation in high and low-risk autism families," 2021, Communications Biology
"Semi-Supervised Linear Regression," 2021, Journal of the American Statistical Association
"Valid post-selection inference in model-free linear regression," 2020, The Annals of Statistics
"Semi-Supervised Linear Regression," 2021, arXiv (Cornell University)
"Hole or Grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions," 2022, Journal of Computational and Graphical Statistics

Common collaborators in Buja's research include:

Richard A. Berk
Linda Zhao
Lawrence D. Brown
Arun Kumar Kuchibhotla
Edward I. George

Among Buja's recognitions is the distinction of Fellow of the American Statistical Association (ASA), awarded in 1994.

Best Publications

Penalized Discriminant Analysis

Trevor Hastie;Andreas Buja;Robert Tibshirani

1163
Citations
Flexible Discriminant Analysis by Optimal Scoring

Trevor Hastie;Robert Tibshirani;Andreas Buja

1098
Citations
Rare De Novo and Transmitted Copy-Number Variation in Autistic Spectrum Disorders

Dan Levy;Michael Ronemus;Boris Yamrom;Yoon ha Lee

904
Citations
Valid post-selection inference

Richard A Berk;Lawrence D Brown;Andreas Buja;Kai Zhang

692
Citations
Interactive High-Dimensional Data Visualization

Andreas Buja;Dianne Cook

539
Citations
Data Visualization With Multidimensional Scaling

Andreas Buja;Deborah F Swayne;Michael L Littman;Nathaniel Dean

454
Citations
Interactive data visualization using focusing and linking

Andreas Buja;John Alan McDonald;John Michalak;Werner Stuetzle

427
Citations
XGobi: Interactive Dynamic Data Visualization in the X Window System

Deborah F. Swayne;Dianne Cook;Andreas Buja

370
Citations
Subcategories of restricted and repetitive behaviors in children with autism spectrum disorders.

Somer L. Bishop;Vanessa Hus;Amie Duncan;Marisela Huerta

345
Citations
Boosted Classification Trees and Class Probability/Quantile Estimation

David Mease;Abraham J. Wyner;Andreas Buja

345
Citations
Grand tour and projection pursuit

Dianne Cook;Andreas Buja;Javier Cabrera;Catherine B. Hurley

335
Citations
GGobi: evolving from XGobi into an extensible framework for interactive data visualization

Deborah F. Swayne;Duncan Temple Lang;Andreas Buja;Dianne Cook

330
Citations
Will the Global Village Fracture Into Tribes? Recommender Systems and Their Effects on Consumer Fragmentation

Kartik Hosanagar;Daniel M Fleder;Dokyun Lee;Andreas Buja

329
Citations
Loss Functions for Binary Class Probability Estimation and Classification: Structure and Applications

Andreas Buja;Werner Stuetzle;Yi Shen

266
Citations
Local Multidimensional Scaling for Nonlinear Dimension Reduction, Graph Drawing, and Proximity Analysis

Lisha Chen;Andreas Buja

253
Citations
Statistical inference for exploratory data analysis and model diagnostics.

Andreas Buja;Dianne Cook;Heike Hofmann;Michael Lawrence

203
Citations
Exploring the relationship between anxiety and insistence on sameness in autism spectrum disorders

Katherine Gotham;Somer L Bishop;Vanessa Hus;Marisela Huerta

198
Citations
Graphical inference for infovis

Hadley Wickham;Dianne Cook;Heike Hofmann;Andreas Buja

190
Citations
Remarks on Functional Canonical Variates, Alternating Least Squares Methods and Ace

Andreas Buja

157
Citations
Projection Pursuit Indexes Based on Orthonormal Function Expansions

Dianne Cook;Andreas Buja;Javier Cabrera

151
Citations
OBSERVATIONS ON BAGGING

Andreas Buja;Werner Stuetzle

133
Citations
Will the Global Village Fracture into Tribes: Recommender Systems and Their Effects on Consumers

Kartik Hosanagar;Daniel M. Fleder;Dokyun Lee;Andreas Buja

11
Citations