John M. Chambers

13.4k citations
84 papers · 10.2k · 5 hit papers · h-index 26

Impact in

Papers in

John M. Chambers

71 papers receiving 9.1k citations

John M. Chambers's Hit Papers

Statistical Models in S 1990 · 1.5k citations
1.5k0+19+39Years since publication50010001.5k

Peers

John M. Chambers
Comparison fields: 5 of 231
  • Statistics and Probability 1.4k
  • Statistics, Probability and Uncertainty 530
  • Nature and Landscape Conservation 551
  • Environmental Engineering 609
  • Management Science and Operations Research 544
Replace Andrea Johnson with:
Andrea Johnson United States
Samuel S. Shapiro United States
Dean W. Wichern United States
David R. Brillinger United States
Harry Smith United Kingdom
Donald G. Watts Canada
N. I. Fisher Australia
Samprit Chatterjee United States
Naomi Altman United States
Frank J. Massey United States
John M. Chambers relative to Andrea Johnson United States Andrea Johnson's profile →
Citations per field
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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 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Graphical Methods for Data Analysis.
Hit paper breakdown →
19841918
2
Nonlinear Parameter Estimation
Hit paper breakdown →
19751878
3
Graphical Methods for Data Analysis.
Hit paper breakdown →
19841568
4
Statistical Models in S
Hit paper breakdown →
19901540
5
Multivariate Statistical Methods.
Hit paper breakdown →
1967749
6 1990420
7
S: An Interactive Environment for Data Analysis and Graphics
1984255
8 2008253
9 2008169
10 2018168
11
Net Ready - Strategies for Success in the E-Conomy
1999123
12 1968122
13 199885
14 201783
15 196774
16 197866
17 197356
18 199351
19 197850
20 197348

About John M. Chambers

John M. Chambers is a scholar working on Artificial Intelligence, Information Systems, Statistics and Probability, Computer Networks and Communications and Control and Systems Engineering, having authored 84 papers that have together received 10.2k indexed citations. Recurring topics across this work include Data Analysis with R (6 papers), Control Systems and Identification (4 papers), Data Mining Algorithms and Applications (4 papers), Advanced Database Systems and Queries (3 papers), Algorithms and Data Compression (3 papers), Statistics Education and Methodologies (3 papers), Data Visualization and Analytics (2 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Statistics and Probability (1.4k citations), Statistics, Probability and Uncertainty (530 citations), Nature and Landscape Conservation (551 citations), Environmental Engineering (609 citations) and Management Science and Operations Research (544 citations). John M. Chambers has collaborated with scholars based in United States, Japan and United Kingdom. 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, The American Statistician, Journal of the American Statistical Association, 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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