Andreas Buja

11.3k citations
113 papers · 7.8k · 5 hit papers · h-index 40

Impact in

Papers in

Andreas Buja

111 papers receiving 7.3k citations

Andreas Buja's Hit Papers

Valid post-selection inference 2013 · 342 citations
3420+12+24Years since publication200400600

Peers

Andreas Buja
Comparison fields: 5 of 209
  • Statistics and Probability 1.6k
  • Computer Vision and Pattern Recognition 1.9k
  • Signal Processing 764
  • Ecological Modeling 271
  • Artificial Intelligence 2.0k
Replace Colin Goodall with:
Colin Goodall United States
Mark Girolami United Kingdom
W. J. Krzanowski United Kingdom
B. W. Silverman United Kingdom
Lawrence J. Hubert United States
J. O. Ramsay Canada
M. Anthony Wong United States
Patrick J. F. Groenen Netherlands
Matthew D. Hoffman United States
Robert F. Ling United States
Andreas Buja relative to Colin Goodall United States Colin Goodall's profile →
Citations per field
00.5×6.8×
Colin Goodall · 1×
Citations per year

Countries citing papers authored by Andreas Buja

Since Specialization
Citations

This map shows the geographic impact of Andreas Buja's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andreas Buja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Buja more than expected).

Fields of papers citing papers by Andreas Buja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas Buja. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andreas Buja. The network helps show where Andreas Buja may publish in the future.

Co-authors

The 25 scholars most cited alongside Andreas Buja, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andreas Buja Line = papers co-authored together Andreas Buja links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Linear Smoothers and Additive Models
Hit paper breakdown →
1989704
2
Penalized Discriminant Analysis
Hit paper breakdown →
1995649
3
Flexible Discriminant Analysis by Optimal Scoring
Hit paper breakdown →
1994644
4
Rare De Novo and Transmitted Copy-Number Variation in Autistic Spectrum Disorders
Hit paper breakdown →
2011522
5 1992408
6
Valid post-selection inference
Hit paper breakdown →
2013342
7 1996253
8 2011239
9 2012235
10 2008212
11 2007201
12 2013194
13 1998183
14 1995159
15 2002147
16 1994143
17 2012138
18 2009136
19
Loss Functions for Binary Class Probability Estimation and Classification: Structure and Applications
2005130
20 2009105

About Andreas Buja

Andreas Buja is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Signal Processing, having authored 113 papers that have together received 7.8k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (25 papers), Data Visualization and Analytics (24 papers), Statistical Methods and Inference (19 papers), Data Analysis with R (10 papers), Statistical Methods and Bayesian Inference (9 papers), Data Management and Algorithms (6 papers), Autism Spectrum Disorder Research (6 papers) and Genomic variations and chromosomal abnormalities (6 papers). The work is most often cited by research in Statistics and Probability (1.6k citations), Computer Vision and Pattern Recognition (1.9k citations), Signal Processing (764 citations), Ecological Modeling (271 citations) and Artificial Intelligence (2.0k citations). Andreas Buja has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Trevor Hastie, Robert Tibshirani, Dianne Cook, Deborah F. Swayne, Nermin Eyuboglu, Werner Stuetzle, Lisha Chen, Catherine Hurley, Linda Zhao and Lawrence Brown. Their work appears in journals such as Journal of Computational and Graphical Statistics, The Annals of Statistics, Journal of the American Statistical Association, Statistical Science and Probability Theory and Related Fields.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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