Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Robust Statistics: The Approach Based on Influence Functions
19872.8k citationsDavid Ruppert et al.Technometricsprofile →
Semiparametric Regression
20031.6k citationsDavid Ruppert, M. P. Wand et al.profile →
Measurement Error in Nonlinear Models
20061.5k citationsRaymond J. Carroll, David Ruppert et al.profile →
Transformation and Weighting in Regression
1988915 citationsRaymond J. Carroll, David Ruppertprofile →
Transformation and Weighting in Regression.
1990875 citationsRaymond J. Carroll, David Ruppert et al.Journal of the American Statistical Associationprofile →
Multivariate Locally Weighted Least Squares Regression
1994715 citationsDavid Ruppert, M. P. Wandprofile →
An Effective Bandwidth Selector for Local Least Squares Regression
1995581 citationsDavid Ruppert, M. P. Wand et al.Journal of the American Statistical Associationprofile →
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
2004558 citationsDavid RuppertJournal of the American Statistical Associationprofile →
Selecting the Number of Knots for Penalized Splines
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).
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-authorship network of co-authors of David Ruppert
This figure shows the co-authorship network connecting the top 25 collaborators of David Ruppert.
A scholar is included among the top collaborators of David Ruppert based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with David Ruppert. David Ruppert is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ruppert, David, et al.. (2002). HOOVER DAM BYPASS PROJECT: PERSPECTIVES ON GOVERNMENT-TO-GOVERNMENT CONSULTATION: PRESENTATION NOTES.1 indexed citations
6.
Ruppert, David, et al.. (1999). Bear’s Lodge or Devils Tower: Intercultural Relations, Legal Pluralism, and the Management of Sacred Sites on Public Lands. Cornell journal of law and public policy. 8(2). 201–248.10 indexed citations
Carroll, Raymond J., David Ruppert, & A. H. Welsh. (1998). Local Estimating Equations. Journal of the American Statistical Association. 93(441). 214–227.92 indexed citations
Welsh, A. H., Raymond J. Carroll, & David Ruppert. (1994). Fitting Heteroscedastic Regression Models. Journal of the American Statistical Association. 89(425). 100–116.28 indexed citations
Wand, M. P., J. S. Marron, & David Ruppert. (1991). Transformations in Density Estimation. Journal of the American Statistical Association. 86(414). 343–353.192 indexed citations
14.
Ruppert, David & Douglas G. Simpson. (1990). Comment. Journal of the American Statistical Association. 85(411). 644–646.1 indexed citations
Ruppert, David. (1979). MARKETING AT THE CROSSROADS: ETHNIC DIVERSITY IN A PERIODIC MARKET IN THE HIGHLAND PHILIPPINES. UA Campus Repository (The University of Arizona).1 indexed citations
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.