J. Brian Gray

3.6k total citations · 3 hit papers
33 papers, 2.7k citations indexed

About

J. Brian Gray is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Analytical Chemistry. According to data from OpenAlex, J. Brian Gray has authored 33 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 7 papers in Statistics, Probability and Uncertainty and 4 papers in Analytical Chemistry. Recurrent topics in J. Brian Gray's work include Advanced Statistical Methods and Models (16 papers), Statistical Methods and Inference (8 papers) and Advanced Statistical Process Monitoring (6 papers). J. Brian Gray is often cited by papers focused on Advanced Statistical Methods and Models (16 papers), Statistical Methods and Inference (8 papers) and Advanced Statistical Process Monitoring (6 papers). J. Brian Gray collaborates with scholars based in United States. J. Brian Gray's co-authors include John Fox, Dan W. French, R. Dennis Cook, Sanford Weisberg, Robert F. Ling, Bruce E. Barrett, Malini Natarajarathinam, F. Gérard Adams, Alexander E. Ellinger and Thomas P. Ryan and has published in prestigious journals such as Technometrics, IEEE Transactions on Evolutionary Computation and The American Statistician.

In The Last Decade

J. Brian Gray

32 papers receiving 2.4k citations

Hit Papers

Applied Regression Analysis, Linear Models, and Related M... 1998 2026 2007 2016 1998 2002 1999 250 500 750
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. Applied Regression Analysis, Linear Models, and Related Methods
    1998 783 citations J. Brian Gray et al. Technometrics profile →
  2. Introduction to Linear Regression Analysis
    2002 735 citations J. Brian Gray Technometrics profile →
  3. Applied Regression Including Computing and Graphics
    1999 544 citations J. Brian Gray et al. Wiley series in probability and statistics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Brian Gray United States 15 470 224 223 190 178 33 2.7k
Farid Kianifard United States 28 273 0.6× 210 0.9× 221 1.0× 111 0.6× 158 0.9× 91 3.8k
Alvin C. Rencher United States 21 489 1.0× 195 0.9× 191 0.9× 155 0.8× 405 2.3× 32 3.7k
Richard L. Scheaffer United States 23 622 1.3× 223 1.0× 181 0.8× 149 0.8× 363 2.0× 77 3.8k
Gudmund R. Iversen United States 13 293 0.6× 172 0.8× 193 0.9× 113 0.6× 155 0.9× 36 2.6k
Paul F. Velleman United States 21 676 1.4× 229 1.0× 298 1.3× 165 0.9× 253 1.4× 64 2.4k
Bertram Price United States 14 299 0.6× 307 1.4× 303 1.4× 134 0.7× 137 0.8× 34 4.2k
Patricia J. Wozniak United States 16 325 0.7× 176 0.8× 110 0.5× 113 0.6× 233 1.3× 26 4.3k
Donald F. Morrison United States 16 416 0.9× 145 0.6× 213 1.0× 94 0.5× 207 1.2× 37 3.6k
SRJ United States 9 384 0.8× 127 0.6× 113 0.5× 348 1.8× 193 1.1× 10 2.0k
Carl J. Huberty United States 27 946 2.0× 176 0.8× 356 1.6× 255 1.3× 329 1.8× 79 5.4k

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-authorship network of co-authors of J. Brian Gray

This figure shows the co-authorship network connecting the top 25 collaborators of J. Brian Gray. A scholar is included among the top collaborators of J. Brian Gray 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 J. Brian Gray. J. Brian Gray 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.
Barrett, Bruce E. & J. Brian Gray. (2014). Efficient computation for the Poisson binomial distribution. Computational Statistics. 29(6). 1469–1479. 4 indexed citations
2.
Gray, J. Brian, et al.. (2011). Introductory business statistics. 13 indexed citations
3.
Gray, J. Brian, et al.. (2009). Matrix-Based Genetic Algorithm for Computing the Minimum Volume Ellipsoid. IEEE Transactions on Evolutionary Computation. 13(6). 1247–1260. 3 indexed citations
4.
Ryan, Thomas P. & J. Brian Gray. (2006). Introduction to Regression Modeling. Journal of Quality Technology. 38(4). 376–377. 30 indexed citations
5.
6.
Gray, J. Brian. (2000). Applied Regression Including Computing and Graphics. Technometrics. 42(4). 425–427. 34 indexed citations
7.
Gray, J. Brian, et al.. (1999). Applied Regression Including Computing and Graphics. Wiley series in probability and statistics. 544 indexed citations breakdown →
8.
Gray, J. Brian. (1998). Applied Regression Analysis, Linear Models, and Related Methods. Technometrics. 40(2). 156–156. 54 indexed citations
9.
Mayo, Matthew S. & J. Brian Gray. (1997). Elemental Subsets: The Building Blocks of Regression. The American Statistician. 51(2). 122–129. 16 indexed citations
10.
Gray, J. Brian & William H. Woodall. (1994). The Maximum Size of Standardized and Internally Studentized Residuals in Regression Analysis. The American Statistician. 48(2). 111–113. 22 indexed citations
11.
Gray, J. Brian. (1994). Regression With Graphics: A Second Course in Applied Statistics. Technometrics. 36(1). 112–113. 7 indexed citations
12.
Barrett, Bruce E. & J. Brian Gray. (1994). A computational framework for variable selection in multivariate regression. Statistics and Computing. 4(3). 203–212. 19 indexed citations
13.
Barrett, Bruce E. & J. Brian Gray. (1992). Efficient Computation of Subset Influence in Regression. Journal of Computational and Graphical Statistics. 1(4). 271–286. 6 indexed citations
14.
Gray, J. Brian. (1990). Multivariate Exploratory Data Analysis. Technometrics. 32(3). 356–357. 5 indexed citations
15.
Gray, J. Brian. (1989). The internal norm approach to influence diagnostics. Communication in Statistics- Theory and Methods. 18(3). 943–958. 2 indexed citations
16.
Gray, J. Brian. (1988). A Classification of influence measures. Journal of Statistical Computation and Simulation. 30(3). 159–171. 9 indexed citations
17.
Gray, J. Brian. (1987). Classification Algorithms. Technometrics. 29(4). 499–499. 2 indexed citations
18.
Gray, J. Brian. (1986). A simple graphic for assessing influence in regression. Journal of Statistical Computation and Simulation. 24(2). 121–134. 19 indexed citations
19.
Gray, J. Brian & Robert F. Ling. (1984). [K-Clustering as a Detection Tool for Influential Subsets in Regression]: Response. Technometrics. 26(4). 326–326. 1 indexed citations
20.
Gray, J. Brian & Robert F. Ling. (1984). K-Clustering as a Detection Tool for Influential Subsets in Regression. Technometrics. 26(4). 305–318. 54 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Farid Kianifard Breakdown of academic impact, for papers by Alvin C. Rencher Breakdown of academic impact, for papers by Richard L. Scheaffer Breakdown of academic impact, for papers by Gudmund R. Iversen Breakdown of academic impact, for papers by Paul F. Velleman Breakdown of academic impact, for papers by Bertram Price Breakdown of academic impact, for papers by Patricia J. Wozniak Breakdown of academic impact, for papers by Donald F. Morrison Breakdown of academic impact, for papers by SRJ Breakdown of academic impact, for papers by Carl J. Huberty
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