John M. Chambers

13.3k citations
63 papers · 9.1k · 5 hit papers · h-index 24

Impact in

Papers in

John M. Chambers

57 papers receiving 8.1k citations

John M. Chambers's Hit Papers

Statistical Models in S 1990 · 1.4k citations
1.4k0+19+39Years since publication50010001.5k

Peers

John M. Chambers
Comparison fields: 5 of 232
  • Statistics and Probability 1.2k
  • Statistics, Probability and Uncertainty 472
  • Nature and Landscape Conservation 520
  • Environmental Engineering 555
  • Management Science and Operations Research 475
Replace Donald G. Watts with:
Donald G. Watts Canada
Samuel S. Shapiro United States
Frank J. Massey United States
Harry Smith United Kingdom
Samprit Chatterjee United States
Dean W. Wichern United States
Andrea Johnson United States
M. B. Wilk United States
Olive Jean Dunn United States
Clifford M. Hurvich United States
John M. Chambers relative to Donald G. Watts Canada Donald G. Watts's profile →
Citations per field
00.5×1.5×
Donald G. Watts · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Graphical Methods for Data Analysis.
Hit paper breakdown →
19841756
2
Nonlinear Parameter Estimation
Hit paper breakdown →
19751730
3
Statistical Models in S
Hit paper breakdown →
19901446
4
Graphical Methods for Data Analysis.
Hit paper breakdown →
19841433
5
Multivariate Statistical Methods.
Hit paper breakdown →
1967686
6 1990392
7
S: An Interactive Environment for Data Analysis and Graphics
1984226
8 2008211
9 2018156
10 2008143
11
Net Ready - Strategies for Success in the E-Conomy
1999111
12 1968101
13 199873
14 196770
15 197352
16 197850
17 197848
18 201846
19 197341
20 199339

About John M. Chambers

John M. Chambers is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Control and Systems Engineering and Statistics and Probability, having authored 63 papers that have together received 9.1k indexed citations. Recurring topics across this work include Data Analysis with R (4 papers), Control Systems and Identification (4 papers), Data Mining Algorithms and Applications (4 papers), Statistics Education and Methodologies (3 papers), Advanced Database Systems and Queries (3 papers), Algorithms and Data Compression (3 papers), Advanced Control Systems Optimization (2 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Statistics, Probability and Uncertainty (472 citations), Nature and Landscape Conservation (520 citations), Environmental Engineering (555 citations) and Management Science and Operations Research (475 citations). John M. Chambers has collaborated with scholars based in United States, United Kingdom and Japan. Frequent 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. Their work appears in journals such as Biometrika, Journal of the American Statistical Association, The American Statistician, Journal of the Royal Statistical Society Series C (Applied Statistics) and Technometrics.

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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