G. E. P. Box

3.6k citations
8 papers · 2.9k · 1 hit paper · h-index 6

Impact in

Papers in

Journals
Biometrika (5 papers)Journal of the American Statistical Association (2 papers)Journal of the Royal Statistical Society Series A (General) (1 paper)
Partner nations
United States

In The Last Decade

G. E. P. Box

8 papers receiving 2.8k citations

G. E. P. Box's Hit Papers

Time Series Analysis, Forecasting and Control. 1971 · 2.4k citations
2.4k0+18+36Years since publication50010001.5k2.0k

Peers

G. E. P. Box
Comparison fields: 5 of 182
  • Management Science and Operations Research 631
  • General Economics, Econometrics and Finance 325
  • Statistics and Probability 259
  • Finance 255
  • Statistics, Probability and Uncertainty 156
Replace Beat Kleiner with:
Beat Kleiner United States
Craig F. Ansley United States
William W. S. Wei United States
Lon‐Mu Liu United States
Ralph D. Snyder Australia
Jan G. De Gooijer Netherlands
Aloïs Kneip Germany
Ritei Shibata Japan
Bovas Abraham Canada
Johannes Ledolter United States
G. E. P. Box relative to Beat Kleiner United States Beat Kleiner's profile →
Citations per field
00.5×1.5×
Beat Kleiner · 1×
Citations per year

Countries citing papers authored by G. E. P. Box

Since Specialization
Citations

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

Fields of papers citing papers by G. E. P. Box

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. E. P. Box. 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 G. E. P. Box. The network helps show where G. E. P. Box may publish in the future.

Co-authors

The 2 scholars most cited alongside G. E. P. Box, 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 G. E. P. Box Line = papers co-authored together G. E. P. Box links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Time Series Analysis, Forecasting and Control.
Hit paper breakdown →
19712350
2 1975347
3 1981198
4 196219
5 196511
6 19687
7 19644
8 19643

About G. E. P. Box

G. E. P. Box is a scholar working on Signal Processing, Statistics, Probability and Uncertainty, Control and Systems Engineering, Management Science and Operations Research and Economics and Econometrics, having authored 8 papers that have together received 2.9k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (2 papers), Advanced Statistical Process Monitoring (2 papers), Advanced Statistical Methods and Models (1 paper), Economic and Environmental Valuation (1 paper), Fault Detection and Control Systems (1 paper) and Forecasting Techniques and Applications (1 paper). The work is most often cited by research in Management Science and Operations Research (631 citations), General Economics, Econometrics and Finance (325 citations), Statistics and Probability (259 citations), Finance (255 citations) and Statistics, Probability and Uncertainty (156 citations). G. E. P. Box has collaborated with scholars based in United States. Frequent co-authors include M. G. Kendall and George C. Tiao. Their work appears in journals such as Biometrika, Journal of the American Statistical Association and Journal of the Royal Statistical Society Series A (General).

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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