John M. Chambers

13.3k total citations · 5 hit papers
63 papers, 9.1k citations indexed

About

John M. Chambers is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, John M. Chambers has authored 63 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Computer Networks and Communications. Recurrent topics in John M. Chambers's work include Data Mining Algorithms and Applications (4 papers), Data Analysis with R (4 papers) and Control Systems and Identification (4 papers). John M. Chambers is often cited by papers focused on Data Mining Algorithms and Applications (4 papers), Data Analysis with R (4 papers) and Control Systems and Identification (4 papers). John M. Chambers collaborates with scholars based in United States, United Kingdom and Japan. John M. Chambers's co-authors include Yonathan Bard, William S. Cleveland, Paul A. Tukey, Brian M. Kleiner, Trevor Hastie, M. J. R. Healy, Donald F. Morrison, N. I. Fisher, Richard A. Becker and Allan R. Wilks and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

John M. Chambers

57 papers receiving 8.1k citations

Hit Papers

Graphical Methods for Data Analysis. 1967 2026 1986 2006 1984 1975 1990 1984 1967 500 1000 1.5k
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. Graphical Methods for Data Analysis.
    1984 1.8k citations M. J. R. Healy, John M. Chambers et al. Journal of the Royal Statistical Society Series A (General) profile →
  2. Nonlinear Parameter Estimation
    1975 1.7k citations John M. Chambers et al. Technometrics profile →
  3. Statistical Models in S
    1990 1.4k citations John M. Chambers et al. profile →
  4. Graphical Methods for Data Analysis.
    1984 1.4k citations John M. Chambers, William S. Cleveland et al. profile →
  5. Multivariate Statistical Methods.
    1967 686 citations John M. Chambers et al. Journal of the Royal Statistical Society Series A (General) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John M. Chambers United States 24 1.2k 1.1k 794 703 672 63 9.1k
Donald G. Watts Canada 25 1.0k 0.8× 674 0.6× 1.1k 1.4× 623 0.9× 536 0.8× 74 9.7k
Dean W. Wichern United States 23 1.9k 1.5× 1.6k 1.6× 685 0.9× 775 1.1× 711 1.1× 47 13.8k
David R. Brillinger United States 44 1.7k 1.4× 1.7k 1.6× 784 1.0× 437 0.6× 418 0.6× 189 13.4k
Andrea Johnson United States 4 1.2k 1.0× 1.1k 1.1× 448 0.6× 593 0.8× 507 0.8× 6 8.8k
G. M. Clarke Australia 19 1.3k 1.1× 693 0.7× 544 0.7× 529 0.8× 448 0.7× 40 7.8k
G. S. Watson United States 39 1.7k 1.4× 1.1k 1.0× 570 0.7× 1.2k 1.7× 380 0.6× 139 9.6k
Olive Jean Dunn United States 37 1.5k 1.2× 1.2k 1.1× 645 0.8× 1.1k 1.5× 966 1.4× 65 12.0k
Frank J. Massey United States 27 689 0.6× 1.2k 1.1× 1.1k 1.4× 1.6k 2.2× 714 1.1× 53 15.5k
N. I. Fisher Australia 33 1.2k 0.9× 2.9k 2.8× 674 0.8× 693 1.0× 608 0.9× 106 11.4k
Dietrich Stoyan Germany 40 1.3k 1.1× 833 0.8× 1.1k 1.4× 482 0.7× 594 0.9× 290 10.9k

Countries citing papers authored by John M. Chambers

Since Specialization
Citations

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

Fields of papers citing papers by John M. Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Chambers. 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 John M. Chambers. The network helps show where John M. Chambers may publish in the future.

Co-authorship network of co-authors of John M. Chambers

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Chambers. A scholar is included among the top collaborators of John M. Chambers 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 John M. Chambers. John M. Chambers 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.
Becker, Richard A., John M. Chambers, & Allan R. Wilks. (2018). The New S Language. 46 indexed citations
2.
Chambers, John M.. (2017). Extending R. 3 indexed citations
3.
Chambers, John M.. (2008). The Future of Statistical Computing. Comment.. 50(4). 435–436.
4.
Chambers, John M.. (2008). Software for Data Analysis. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 211 indexed citations
5.
Chambers, John M.. (2000). Users, Programmers, and Statistical Software. Journal of Computational and Graphical Statistics. 9(3). 404–422. 13 indexed citations
6.
Chambers, John M.. (1999). Computing with Data: Concepts and Challenges. The American Statistician. 53(1). 73–84. 17 indexed citations
7.
Chambers, John M., Mark Hansen, David A. James, & Duncan Temple Lang. (1998). Distributed Computing with Data: A CORBA-Based Approach. British Journal of Neurosurgery. 31(6). 668–671. 1 indexed citations
8.
Chambers, John M.. (1993). Greater or lesser statistics: a choice for future research. Statistics and Computing. 3(4). 182–184. 39 indexed citations
9.
Chambers, John M. & Barbara F. Ryan. (1990). The ASA Statistical Computing Section: A History. The American Statistician. 44(2). 87–87. 2 indexed citations
10.
Kosslyn, Stephen M., Jacques Bertin, William J. Berg, et al.. (1985). Graphics and Human Information Processing: A Review of Five Books. Journal of the American Statistical Association. 80(391). 499–499. 34 indexed citations
11.
Healy, M. J. R., John M. Chambers, William S. Cleveland, Brian M. Kleiner, & Paul A. Tukey. (1984). Graphical Methods for Data Analysis.. Journal of the Royal Statistical Society Series A (General). 147(3). 513–513. 1756 indexed citations breakdown →
12.
Chambers, John M., et al.. (1980). Compstat 78: Proceedings in Computational Statistics. International Statistical Review. 48(2). 233–233. 12 indexed citations
13.
Nelder, J. A. & John M. Chambers. (1978). Computational Methods for Data Analysis.. Journal of the Royal Statistical Society Series A (General). 141(4). 550–550. 50 indexed citations
14.
Chambers, John M.. (1973). ‘Fitting nonlinear models: numerical techniques’. Biometrika. 60(3). 669–669. 52 indexed citations
15.
Chambers, John M.. (1971). Regression Updating. Journal of the American Statistical Association. 66(336). 744–748. 38 indexed citations
16.
Chambers, John M.. (1971). Regression Updating. Journal of the American Statistical Association. 66(336). 744–744. 6 indexed citations
17.
Chambers, John M.. (1970). Computers in Statistical Research: Simulation and Computer-Aided Mathematics. Technometrics. 12(1). 1–15. 13 indexed citations
18.
Chambers, John M.. (1968). A British Working Party on Statistical Computing. The American Statistician. 22(2). 19–20. 3 indexed citations
19.
Chambers, John M. & Agnes M. Herzberg. (1968). A Note on the Game of Refereeing. Journal of the Royal Statistical Society Series C (Applied Statistics). 17(3). 260–260. 4 indexed citations
20.
Chambers, John M., et al.. (1967). Random Number Generators.. Journal of the Royal Statistical Society Series A (General). 130(1). 123–123. 11 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.

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