J. R. Kettenring

3.6k total citations · 2 hit papers
37 papers, 2.4k citations indexed

About

J. R. Kettenring is a scholar working on Statistics and Probability, Artificial Intelligence and Information Systems. According to data from OpenAlex, J. R. Kettenring has authored 37 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in J. R. Kettenring's work include Advanced Statistical Methods and Models (8 papers), Advanced Clustering Algorithms Research (6 papers) and Advanced Statistical Process Monitoring (4 papers). J. R. Kettenring is often cited by papers focused on Advanced Statistical Methods and Models (8 papers), Advanced Clustering Algorithms Research (6 papers) and Advanced Statistical Process Monitoring (4 papers). J. R. Kettenring collaborates with scholars based in United States, Netherlands and United Kingdom. J. R. Kettenring's co-authors include R. Gnanadesikan, Susan J. Devlin, Edward B. Fowlkes, David Siegmund, Bruce G. Lindsay, Siddhartha R. Dalal, J.R. Horgan, Douglas C. Montgomery, Changbao Wu and William Q. Meeker and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

J. R. Kettenring

37 papers receiving 2.2k citations

Hit Papers

Robust Estimates, Residuals, and Outlier Detection with M... 1971 2026 1989 2007 1972 1971 100 200 300 400 500
What are hit papers?

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.

  1. Robust Estimates, Residuals, and Outlier Detection with Multiresponse Data
    1972 529 citations R. Gnanadesikan, J. R. Kettenring Biometrics profile →
  2. Canonical analysis of several sets of variables
    1971 523 citations J. R. Kettenring profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. R. Kettenring United States 15 916 490 346 338 305 37 2.4k
Edward J. Wegman United States 23 824 0.9× 761 1.6× 239 0.7× 422 1.2× 116 0.4× 114 2.8k
Katrien Van Driessen Belgium 5 1.5k 1.7× 860 1.8× 837 2.4× 200 0.6× 309 1.0× 5 3.2k
S. Kocherlakota Canada 16 1.3k 1.4× 609 1.2× 399 1.2× 102 0.3× 114 0.4× 48 3.1k
Daniel Peña Spain 30 1.1k 1.2× 596 1.2× 412 1.2× 432 1.3× 245 0.8× 148 3.4k
Rainer Dahlhaus Germany 25 804 0.9× 383 0.8× 151 0.4× 354 1.0× 195 0.6× 52 3.5k
Ricardo Fraiman Uruguay 27 1.6k 1.8× 777 1.6× 471 1.4× 151 0.4× 161 0.5× 88 2.7k
P. R. Krishnaiah United States 32 1.7k 1.9× 716 1.5× 275 0.8× 551 1.6× 140 0.5× 149 3.7k
Maria L. Rizzo United States 18 782 0.9× 678 1.4× 162 0.5× 146 0.4× 81 0.3× 30 2.7k
Muni S. Srivastava Canada 33 2.6k 2.8× 943 1.9× 573 1.7× 238 0.7× 145 0.5× 164 4.4k
Yadolah Dodge Switzerland 20 607 0.7× 284 0.6× 157 0.5× 126 0.4× 71 0.2× 52 2.3k

Countries citing papers authored by J. R. Kettenring

Since Specialization
Citations

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

Fields of papers citing papers by J. R. Kettenring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. R. Kettenring

This figure shows the co-authorship network connecting the top 25 collaborators of J. R. Kettenring. A scholar is included among the top collaborators of J. R. Kettenring 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 J. R. Kettenring. J. R. Kettenring 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
1.
Gnanadesikan, R., et al.. (2016). STATISTICAL METHODS FOR GROUPING CORPORATIONS. 1 indexed citations
2.
Golbeck, Amanda L., Arlene S. Ash, Mary W. Gray, et al.. (2016). A conversation about implicit bias. Statistical Journal of the IAOS. 32(4). 739–755. 4 indexed citations
3.
Kettenring, J. R., Kenneth J. Koehler, & John D. McKenzie. (2015). Challenges and Opportunities for Statistics in the Next 25 Years. The American Statistician. 69(2). 86–90. 4 indexed citations
4.
Kettenring, J. R.. (2011). Coping with high dimensionality in massive datasets. Wiley Interdisciplinary Reviews Computational Statistics. 3(2). 95–103. 1 indexed citations
5.
Kettenring, J. R.. (2009). A patent analysis of cluster analysis. Applied Stochastic Models in Business and Industry. 25(4). 460–467. 3 indexed citations
6.
Kettenring, J. R.. (2008). A Perspective on Cluster Analysis. Statistical Analysis and Data Mining The ASA Data Science Journal. 1(1). 52–53. 5 indexed citations
7.
Bisgaard, Søren, Necip Doganaksoy, N. I. Fisher, et al.. (2008). The Future of Industrial Statistics: A Panel Discussion. Technometrics. 50(2). 103–127. 25 indexed citations
8.
Kettenring, J. R.. (2006). The Practice of Cluster Analysis. Journal of Classification. 23(1). 3–30. 138 indexed citations
9.
Kettenring, J. R.. (1995). What Industry Needs. The American Statistician. 49(1). 2–4. 12 indexed citations
10.
Kettenring, J. R.. (1995). What Industry Needs. The American Statistician. 49(1). 2–2. 2 indexed citations
11.
Dalal, Siddhartha R., J.R. Horgan, & J. R. Kettenring. (1993). Reliable software and communication: software quality, reliability, and safety. International Conference on Software Engineering. 425–435. 27 indexed citations
12.
Kettenring, J. R., et al.. (1990). Communications Between Statisticians and Engineers/ Physical Scientists. Technometrics. 32(3). 243–243. 1 indexed citations
13.
Fowlkes, Edward B., R. Gnanadesikan, & J. R. Kettenring. (1988). Variable selection in clustering. Journal of Classification. 5(2). 205–228. 89 indexed citations
14.
Kettenring, J. R., et al.. (1988). Statistics Teachers Need Experience with Data. College Mathematics Journal. 19(1). 12–12. 4 indexed citations
15.
Gnanadesikan, R. & J. R. Kettenring. (1988). Statistics Teachers Need Experience With Data…. College Mathematics Journal. 19(1). 12–14. 4 indexed citations
16.
Fowlkes, Edward B., et al.. (1987). Variable selection in clustering and other contexts. John Wiley & Sons, Inc. eBooks. 5. 13–34. 14 indexed citations
17.
Fowlkes, Edward B. & J. R. Kettenring. (1985). Estimating Optimal Transformations for Multiple Regression and Correlation: Comment. Journal of the American Statistical Association. 80(391). 607–607. 8 indexed citations
18.
Devlin, Susan J., R. Gnanadesikan, & J. R. Kettenring. (1981). Robust Estimation of Dispersion Matrices and Principal Components. Journal of the American Statistical Association. 76(374). 354–362. 238 indexed citations
19.
Kettenring, J. R., William H. Rogers, Michael E. Smith, & Jeremy L. Warner. (1976). Cluster Analysis Applied to the Validation of Course Objectives. Journal of Educational Statistics. 1(1). 39–57. 6 indexed citations
20.
Gnanadesikan, R. & J. R. Kettenring. (1972). Robust Estimates, Residuals, and Outlier Detection with Multiresponse Data. Biometrics. 28(1). 81–81. 529 indexed citations breakdown →

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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