David Ruppert

28.3k citations
287 papers · 21.1k · 9 hit papers · h-index 62

Impact in

Papers in

David Ruppert

271 papers receiving 19.6k citations

David Ruppert's Hit Papers

Measurement Error in Nonlinear Models 2006 · 1.6k citations
1.6k0+13+26Years since publication10002.0k3.0k

Peers

David Ruppert
Comparison fields: 5 of 225
  • Statistics and Probability 11.2k
  • Statistics, Probability and Uncertainty 2.6k
  • Management Science and Operations Research 1.9k
  • Finance 1.4k
  • Artificial Intelligence 3.2k
Replace Raymond J. Carroll with:
Raymond J. Carroll United States
Peter J. Huber United States
Peter J. Bickel United States
R. Dennis Cook United States
George Casella United States
B. Efron United States
Christian P. Robert France
D. R. Cox United Kingdom
A. F. M. Smith United Kingdom
James O. Berger United States
David Ruppert relative to Raymond J. Carroll United States Raymond J. Carroll's profile →
Citations per field
00.5×1.5×
Raymond J. Carroll · 1×
Citations per year

Countries citing papers authored by David Ruppert

Since Specialization
Citations

This map shows the geographic impact of David Ruppert'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 David Ruppert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ruppert more than expected).

Fields of papers citing papers by David Ruppert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Ruppert. 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 David Ruppert. The network helps show where David Ruppert may publish in the future.

Co-authors

The 25 scholars most cited alongside David Ruppert, 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 David Ruppert Line = papers co-authored together David Ruppert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 287 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Robust Statistics: The Approach Based on Influence Functions
Hit paper breakdown →
19873031
2
Semiparametric Regression
Hit paper breakdown →
20031662
3
Measurement Error in Nonlinear Models
Hit paper breakdown →
20061572
4
Transformation and Weighting in Regression
Hit paper breakdown →
19881004
5
Transformation and Weighting in Regression.
Hit paper breakdown →
1990945
6
Multivariate Locally Weighted Least Squares Regression
Hit paper breakdown →
1994760
7
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Hit paper breakdown →
2004621
8
An Effective Bandwidth Selector for Local Least Squares Regression
Hit paper breakdown →
1995604
9
Selecting the Number of Knots for Penalized Splines
Hit paper breakdown →
2002521
10 2002395
11 2003334
12 1980321
13 1987317
14 1988300
15
Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition
2006269
16 2005236
17 1996213
18 1991212
19 1997206
20 1997202

About David Ruppert

David Ruppert is a scholar working on Statistics and Probability, Management Science and Operations Research, Artificial Intelligence, Statistics, Probability and Uncertainty and Finance, having authored 287 papers that have together received 21.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (106 papers), Advanced Statistical Methods and Models (85 papers), Statistical Methods and Bayesian Inference (56 papers), Advanced Statistical Process Monitoring (21 papers), Bayesian Methods and Mixture Models (17 papers), Financial Risk and Volatility Modeling (16 papers), Optimal Experimental Design Methods (14 papers) and Statistical and numerical algorithms (12 papers). The work is most often cited by research in Statistics and Probability (11.2k citations), Statistics, Probability and Uncertainty (2.6k citations), Management Science and Operations Research (1.9k citations), Finance (1.4k citations) and Artificial Intelligence (3.2k citations). David Ruppert has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Raymond J. Carroll, M. P. Wand, Ciprian M. Crainiceanu, Werner A. Stahel, Elvezio Ronchetti, Frank R. Hampel, Peter J. Rousseeuw, Leonard A. Stefanski, Peter A. Lachenbruch and Simon J. Sheather. Their work appears in journals such as Journal of the American Statistical Association, Journal of Computational and Graphical Statistics, Biometrics, Technometrics and The Annals of Statistics.

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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