J. Brian Gray

2.8k citations
32 papers · 2.1k · 2 hit papers · h-index 14

Impact in

Papers in

J. Brian Gray

31 papers receiving 1.9k citations

J. Brian Gray's Hit Papers

Introduction to Linear Regression Analysis 2002 · 737 citations
7370+9+18Years since publication250500750

Peers

J. Brian Gray
Comparison fields: 5 of 199
  • Statistics and Probability 329
  • Statistics, Probability and Uncertainty 163
  • Management Science and Operations Research 130
  • Management Information Systems 90
  • Finance 92
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Bertram Price United States
Donald F. Morrison United States
Paul F. Velleman United States
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Gordon V. Kass South Africa
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Citations per year

Countries citing papers authored by J. Brian Gray

Since Specialization
Citations

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

Fields of papers citing papers by J. Brian Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside J. Brian Gray, 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 J. Brian Gray Line = papers co-authored together J. Brian Gray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Applied Regression Analysis, Linear Models, and Related Methods
Hit paper breakdown →
1998784
2
Introduction to Linear Regression Analysis
Hit paper breakdown →
2002737
3 201197
4 200084
5 199061
6 199855
7 198454
8 200034
9 200630
10 199422
11 198619
12 199419
13 200419
14 199716
15
Introductory business statistics
201113
16 199712
17 199411
18 19889
19 19898
20 19978

About J. Brian Gray

J. Brian Gray is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Analytical Chemistry, General Economics, Econometrics and Finance and Artificial Intelligence, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (15 papers), Statistical Methods and Inference (7 papers), Advanced Statistical Process Monitoring (6 papers), Statistical Methods and Applications (4 papers), Spectroscopy and Chemometric Analyses (4 papers), Monetary Policy and Economic Impact (3 papers), Statistical and numerical algorithms (2 papers) and Housing Market and Economics (1 paper). The work is most often cited by research in Statistics and Probability (329 citations), Statistics, Probability and Uncertainty (163 citations), Management Science and Operations Research (130 citations), Management Information Systems (90 citations) and Finance (92 citations). J. Brian Gray has collaborated with scholars based in United States. Frequent co-authors include John Fox, Dan W. French, Robert F. Ling, Sanford Weisberg, R. Dennis Cook, Bruce E. Barrett, Malini Natarajarathinam, F. Gérard Adams, Alexander E. Ellinger and Thomas P. Ryan. Their work appears in journals such as Technometrics, The American Statistician, Journal of Statistical Computation and Simulation, Computational Statistics & Data Analysis and Statistics and Computing.

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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