G. K. Eagleson

1.9k total citations
59 papers, 1.2k citations indexed

About

G. K. Eagleson is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, G. K. Eagleson has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 14 papers in Mathematical Physics. Recurrent topics in G. K. Eagleson's work include Bayesian Methods and Mixture Models (19 papers), Probability and Risk Models (13 papers) and Stochastic processes and statistical mechanics (10 papers). G. K. Eagleson is often cited by papers focused on Bayesian Methods and Mixture Models (19 papers), Probability and Risk Models (13 papers) and Stochastic processes and statistical mechanics (10 papers). G. K. Eagleson collaborates with scholars based in Australia, United Kingdom and United States. G. K. Eagleson's co-authors include David Aldous, A. D. Barbour, Michael Buckley, H.J.S. Dawkins, R.G. Windon, B. W. Silverman, B. M. Brown, Ernest Lacey, Mark Berman and Chris Carter and has published in prestigious journals such as Journal of the American Statistical Association, Brain Research and Biometrics.

In The Last Decade

G. K. Eagleson

58 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. K. Eagleson Australia 19 442 255 247 238 229 59 1.2k
M. J. Sharpe United States 15 224 0.5× 495 1.9× 53 0.2× 25 0.1× 639 2.8× 38 1.1k
Ningzhong Shi China 25 299 0.7× 70 0.3× 106 0.4× 10 0.0× 246 1.1× 110 2.7k
Jean‐Jacques Daudin France 19 150 0.3× 10 0.0× 244 1.0× 68 0.3× 29 0.1× 36 1.6k
Klaus Krickeberg Germany 12 122 0.3× 78 0.3× 88 0.4× 4 0.0× 138 0.6× 48 759
D. Ratcliff Australia 17 175 0.4× 6 0.0× 545 2.2× 36 0.2× 17 0.1× 44 1.6k
Ronald Meester Netherlands 19 298 0.7× 17 0.1× 149 0.6× 5 0.0× 598 2.6× 103 1.8k
Gesine Reinert United Kingdom 24 317 0.7× 107 0.4× 420 1.7× 2 0.0× 224 1.0× 92 1.8k
Carla M. Carvalho Portugal 25 446 1.0× 46 0.2× 327 1.3× 6 0.0× 6 0.0× 42 2.2k
R. T. Smythe United States 16 426 1.0× 92 0.4× 162 0.7× 6 0.0× 438 1.9× 54 950
Tobias Rydén Sweden 14 268 0.6× 334 1.3× 430 1.7× 4 0.0× 37 0.2× 26 1.1k

Countries citing papers authored by G. K. Eagleson

Since Specialization
Citations

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

Fields of papers citing papers by G. K. Eagleson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. K. Eagleson. 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. K. Eagleson. The network helps show where G. K. Eagleson may publish in the future.

Co-authorship network of co-authors of G. K. Eagleson

This figure shows the co-authorship network connecting the top 25 collaborators of G. K. Eagleson. A scholar is included among the top collaborators of G. K. Eagleson 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 G. K. Eagleson. G. K. Eagleson 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.
Hennessy, D.R., J.W. Steel, Ernest Lacey, G. K. Eagleson, & Roger K. Prichard. (1989). The disposition of albendazole in sheep. Journal of Veterinary Pharmacology and Therapeutics. 12(4). 421–429. 75 indexed citations
2.
Lascelles, AK, G. K. Eagleson, K.J. Beh, & D.L. Watson. (1989). Significance of Freund's adjuvant/antigen injection granuloma in the maintenance of serum antibody response. Veterinary Immunology and Immunopathology. 22(1). 15–27. 22 indexed citations
3.
Buckley, Michael & G. K. Eagleson. (1989). A graphical method for estimating the residual variance in nonparametric regression. Biometrika. 76(2). 203–210. 18 indexed citations
4.
Buckley, Michael, G. K. Eagleson, & B. W. Silverman. (1988). The estimation of residual variance in nonparametric regression. Biometrika. 75(2). 189–199. 84 indexed citations
5.
Buckley, Michael & G. K. Eagleson. (1988). AN APPROXIMATION TO THE DISTRIBUTION OF QUADRATIC FORMS IN NORMAL RANDOM VARIABLES. Australian Journal of Statistics. 30A(1). 150–159. 50 indexed citations
6.
Buckley, Michael, G. K. Eagleson, & B. W. Silverman. (1988). The Estimation of Residual Variance in Nonparametric Regression. Biometrika. 75(2). 189–189. 9 indexed citations
7.
Barbour, A. D. & G. K. Eagleson. (1987). An improved Poisson limit theorem for sums of dissociated random variables. Journal of Applied Probability. 24(3). 586–599. 2 indexed citations
8.
Brown, Timothy C., Donald I. Cartwright, & G. K. Eagleson. (1986). CORRELATIONS AND CHARACTERIZATIONS OF THE UNIFORM DISTRIBUTION. Australian Journal of Statistics. 28(1). 89–96. 4 indexed citations
9.
Barbour, A. D. & G. K. Eagleson. (1986). Random association of symmetric arrays. Stochastic Analysis and Applications. 4(3). 239–281. 13 indexed citations
10.
Berman, Mark & G. K. Eagleson. (1985). A Useful Upper Bound for the Tail Probabilities of the Scan Statistic When the Sample Size is Large. Journal of the American Statistical Association. 80(392). 886–889. 18 indexed citations
11.
Panhuber, H., et al.. (1985). The distribution of the size and number of mitral cells in the olfactory bulb of the rat.. PubMed. 140 ( Pt 2). 297–308. 24 indexed citations
12.
Cameron, M. & G. K. Eagleson. (1985). A NEW PROCEDURE FOR ASSESSING LARGE SETS OF CORRELATIONS. Australian Journal of Statistics. 27(1). 84–95. 7 indexed citations
13.
Brown, Timothy C., Donald I. Cartwright, & G. K. Eagleson. (1985). Characterizations of invariant distributions. Mathematical Proceedings of the Cambridge Philosophical Society. 97(2). 349–355. 1 indexed citations
14.
Barbour, A. D., Donald I. Cartwright, John Donnelly, & G. K. Eagleson. (1985). A new rank test for the K-Sample problem. Communication in Statistics- Theory and Methods. 14(6). 1471–1484. 1 indexed citations
15.
Eagleson, G. K.. (1983). A ROBUST TEST FOR MULTIPLE COMPARISONS OF CORRELATION COEFFICIENTS1. Australian Journal of Statistics. 25(2). 256–263. 4 indexed citations
16.
Eagleson, G. K.. (1979). ORTHOGONAL EXPANSIONS AND U‐STATISTICS. Australian Journal of Statistics. 21(3). 221–237. 25 indexed citations
17.
Eagleson, G. K. & N. C. Weber. (1978). Limit theorems for weakly exchangeable arrays. Mathematical Proceedings of the Cambridge Philosophical Society. 84(1). 123–130. 17 indexed citations
18.
Eagleson, G. K.. (1975). On Gordin's central limit theorem for stationary processes. Journal of Applied Probability. 12(1). 176–179. 1 indexed citations
19.
Eagleson, G. K.. (1975). On Gordin's central limit theorem for stationary processes. Journal of Applied Probability. 12(1). 176–179. 8 indexed citations
20.
Eagleson, G. K.. (1969). Canonical Expansions of Birth and Death Processes. Theory of Probability and Its Applications. 14(2). 209–218. 2 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.

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