Raymond J. Carroll

52.2k citations
575 papers · 37.0k indexed · 12 hit papers · h-index 93
Topics
Statistical Methods and Inference (231 papers)Statistical Methods and Bayesian Inference (151 papers)Advanced Statistical Methods and Models (126 papers)

In The Last Decade

Raymond J. Carroll

560 papers receiving 35.0k citations

Hit Papers

Semiparametric Regression19882026200020132003200619951992200650010001.5k

Peers

Raymond J. Carroll
Comparison fields: 5 of 231
  • Statistics and Probability 15.2k
  • Molecular Biology 4.2k
  • Public Health, Environmental and Occupational Health 4.0k
  • Artificial Intelligence 3.6k
  • Genetics 2.9k
Replace Nan M. Laird with:
Nan M. Laird United States
John B. Carlin Australia
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Citations per field
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Citations per year

Countries citing papers authored by Raymond J. Carroll

Since Specialization
Citations

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

Fields of papers citing papers by Raymond J. Carroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raymond J. Carroll. 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 Raymond J. Carroll. The network helps show where Raymond J. Carroll may publish in the future.

Co-authorship network of co-authors of Raymond J. Carroll

This figure shows the co-authorship network connecting the top 25 collaborators of Raymond J. Carroll. A scholar is included among the top collaborators of Raymond J. Carroll 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 Raymond J. Carroll. Raymond J. Carroll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 6
3 4
4 2
5 1
6 3
7
Estimation and Inference in Generalized Additive Coefficient Models for Nonlinear Interactions with High-Dimensional Covariates
10
8 19
9
Backfitting versus profiling in general criterion functions
13
10
Discussion of two important missing data issues
0
11
A Bayesian Analysis Involving Colonic Crypt Structure and Coordinated Response to Carcinogens Incorporating Missing Crypts
1
12
More Efficient Kernel Estimation in Nonparametric Regression with Autocorrelated Errors
1
13 28
14 161
15 10
16 37
17 290
18 60
19 19
20
A robust method for testing transformation to achieve normality
19

About Raymond J. Carroll

Raymond J. Carroll is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Genetics, having authored 575 papers that have together received 37.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (231 papers), Statistical Methods and Bayesian Inference (151 papers) and Advanced Statistical Methods and Models (126 papers). The work is most often cited by research in Statistics and Probability (15.2k citations), Statistics, Probability and Uncertainty (2.4k citations) and Management Science and Operations Research (2.0k citations). Raymond J. Carroll has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include David Ruppert, Leonard A. Stefanski, M. P. Wand, Dan Rowe, Calvin L. Day, Ciprian M. Crainiceanu, Lukas Stefanski, Xihong Lin, Laurence S. Freedman and Victor Kipnis. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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