G. K. Eagleson

1.9k citations
59 papers · 1.2k · h-index 19

Impact in

Papers in

    • Advanced Statistical Methods and Models 9
    • Statistical Methods and Inference 8
    • Statistical Distribution Estimation and Applications 7
    • Random Matrices and Applications 7
    • Bayesian Methods and Mixture Models 19

G. K. Eagleson

58 papers receiving 1.1k citations

Peers

G. K. Eagleson
Comparison fields: 5 of 114
  • Statistics and Probability 438
  • Small Animals 237
  • Finance 255
  • Mathematical Physics 228
  • Management Science and Operations Research 199
Replace M. J. Sharpe with:
M. J. Sharpe United States
Ningzhong Shi China
Jean‐Jacques Daudin France
Klaus Krickeberg Germany
R. T. Smythe United States
D. Ratcliff Australia
Carla M. Carvalho Portugal
Ronald Meester Netherlands
R. A. Bailey United Kingdom
P. K. Pollett Australia
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Citations per field
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M. J. Sharpe · 1×
Citations per year

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-authors

The 25 scholars most cited alongside G. K. Eagleson, 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. K. Eagleson Line = papers co-authored together G. K. Eagleson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978188
2 1989168
3 198884
4 198974
5 198361
6 196456
7 198852
8 198446
9 197139
10 197736
11 196932
12 199229
13 197528
14 197925
15
The distribution of the size and number of mitral cells in the olfactory bulb of the rat.
198524
16 198523
17 198922
18 198521
19 198721
20 198918

About G. K. Eagleson

G. K. Eagleson is a scholar working on Statistics and Probability, Artificial Intelligence, Mathematical Physics, Management Science and Operations Research and Finance, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (19 papers), Probability and Risk Models (13 papers), Stochastic processes and statistical mechanics (10 papers), Advanced Statistical Methods and Models (9 papers), Statistical Methods and Inference (8 papers), Statistical Distribution Estimation and Applications (7 papers), Random Matrices and Applications (7 papers) and Mathematical Dynamics and Fractals (5 papers). The work is most often cited by research in Statistics and Probability (438 citations), Small Animals (237 citations), Finance (255 citations), Mathematical Physics (228 citations) and Management Science and Operations Research (199 citations). G. K. Eagleson has collaborated with scholars based in Australia, United Kingdom and United States. Frequent 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, Chris Carter and Mark Berman. Their work appears in journals such as Journal of Applied Probability, Biometrika, Advances in Applied Probability, The Annals of Probability and Journal of the Royal Statistical Society Series B (Statistical Methodology).

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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