Murray Jorgensen

1.1k total citations
26 papers, 697 citations indexed

About

Murray Jorgensen is a scholar working on Statistics and Probability, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Murray Jorgensen has authored 26 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 3 papers in Global and Planetary Change. Recurrent topics in Murray Jorgensen's work include Bayesian Methods and Mixture Models (9 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Statistical Methods and Models (7 papers). Murray Jorgensen is often cited by papers focused on Bayesian Methods and Mixture Models (9 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Statistical Methods and Models (7 papers). Murray Jorgensen collaborates with scholars based in New Zealand, Australia and Ireland. Murray Jorgensen's co-authors include William J. Reed, Lynette Hunt, Christopher H. Lusk, Chris Hayward, Stephen C. Kuehn, David J. Lowe, Christian A. Tryon, Nicholas J.G. Pearce, Peter J. Bellingham and Mary Morgan‐Richards and has published in prestigious journals such as Biometrics, Journal of Ecology and Journal of Hydrology.

In The Last Decade

Murray Jorgensen

24 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Murray Jorgensen New Zealand	11	202	123	115	95	72	26	697
R B Davies New Zealand	9	125 0.6×	445 3.6×	209 1.8×	29 0.3×	24 0.3×	19	1.2k
Robin K. S. Hankin New Zealand	18	117 0.6×	44 0.4×	102 0.9×	89 0.9×	53 0.7×	56	923
J. Chambers Australia	13	135 0.7×	167 1.4×	184 1.6×	27 0.3×	107 1.5×	39	1.1k
Jonathan Stroud United States	17	156 0.8×	287 2.3×	90 0.8×	124 1.3×	19 0.3×	35	1.1k
Roger D. Woodard United States	10	176 0.9×	74 0.6×	64 0.6×	40 0.4×	11 0.2×	22	860
Richard D. De Veaux United States	13	176 0.9×	105 0.9×	120 1.0×	73 0.8×	50 0.7×	37	936
Allan McQuarrie United States	9	177 0.9×	114 0.9×	300 2.6×	21 0.2×	49 0.7×	13	1.1k
B. D. Spurr United Kingdom	11	140 0.7×	62 0.5×	115 1.0×	53 0.6×	31 0.4×	15	897
D. G. T. Denison United Kingdom	12	485 2.4×	132 1.1×	383 3.3×	23 0.2×	14 0.2×	22	1.1k
Duane C. Boes United States	19	132 0.7×	226 1.8×	213 1.9×	139 1.5×	44 0.6×	35	1.6k

Countries citing papers authored by Murray Jorgensen

Since Specialization

Citations

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

Fields of papers citing papers by Murray Jorgensen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murray Jorgensen. 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 Murray Jorgensen. The network helps show where Murray Jorgensen may publish in the future.

Co-authorship network of co-authors of Murray Jorgensen

This figure shows the co-authorship network connecting the top 25 collaborators of Murray Jorgensen. A scholar is included among the top collaborators of Murray Jorgensen 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 Murray Jorgensen. Murray Jorgensen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lowe, David J., Nicholas J.G. Pearce, Murray Jorgensen, et al.. (2017). Correlating tephras and cryptotephras using glass compositional analyses and numerical and statistical methods: Review and evaluation. Quaternary Science Reviews. 175. 1–44. 102 indexed citations

Lusk, Christopher H. & Murray Jorgensen. (2013). The whole‐plant compensation point as a measure of juvenile tree light requirements. Functional Ecology. 27(6). 1286–1294. 38 indexed citations

Jorgensen, Murray. (2013). A Statistical Guide for the Ethically Perplexed. By L.Hubert and H.Wainer, Boca Raton, Florida: CRC Press, 2012. 588 pages. £31.99 (paperback). ISBN 9781439873687.. Australian & New Zealand Journal of Statistics. 55(4). 495–497.

Wehi, Priscilla M., Murray Jorgensen, & Mary Morgan‐Richards. (2013). Sex- and season-dependent behaviour in a flightless insect, the Auckland tree weta (Hemideina thoracica). Research Commons (University of Waikato). 37(1). 75–83. 11 indexed citations

Jorgensen, Murray. (2013). Forming Clusters from Census Areas with Similar Tabular Statistics. Communication in Statistics- Theory and Methods. 42(12). 2136–2151.

Hunt, Lynette & Murray Jorgensen. (2011). Clustering mixed data. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 1(4). 352–361. 45 indexed citations

Jorgensen, Murray & Geoffrey J. McLachlan. (2008). Wallace's Approach to Unsupervised Learning: The Snob Program. The Computer Journal. 51(5). 571–578. 4 indexed citations

Jorgensen, Murray, et al.. (2006). SEMI‐MECHANISTIC MODELLING IN NONLINEAR REGRESSION: A CASE STUDY. Australian & New Zealand Journal of Statistics. 48(3). 373–392. 2 indexed citations

Reed, William J. & Murray Jorgensen. (2004). The Double Pareto-Lognormal Distribution—A New Parametric Model for Size Distributions. Communication in Statistics- Theory and Methods. 33(8). 1733–1753. 285 indexed citations

10.

Jorgensen, Murray. (2004). Using Multinomial Mixture Models to Cluster Internet Traffic. Australian & New Zealand Journal of Statistics. 46(2). 205–218. 10 indexed citations

11.

Jorgensen, Murray. (2004). Minimum message length estimation using EM methods: a case study. Computational Statistics & Data Analysis. 49(1). 147–167. 2 indexed citations

12.

Jorgensen, Murray. (1999). Model-robust parameter dispersions for iteratively re-weighted least squares. Communication in Statistics- Theory and Methods. 28(8). 1903–1919. 1 indexed citations

13.

Bardsley, W.E., Murray Jorgensen, Pinhas Alpert, & T. Ben‐Gai. (1999). A significance test for empty corners in scatter diagrams. Journal of Hydrology. 219(1-2). 1–6. 4 indexed citations

14.

Jorgensen, Murray. (1999). A dynamic EM algorithm for estimating mixture proportions. Statistics and Computing. 9(4). 299–302. 3 indexed citations

15.

Gentleman, Robert & Murray Jorgensen. (1998). Personal Crunching. CHANCE. 11(2). 34–42. 2 indexed citations

16.

Jorgensen, Murray. (1994). Tail Functions and Iterative Weights in Binary Regression. The American Statistician. 48(3). 230–230. 1 indexed citations

17.

Jorgensen, Murray. (1993). Influence Functions for Iteratively Defined Statistics. Biometrika. 80(2). 253–253. 5 indexed citations

18.

Jorgensen, Murray. (1990). Influence-Based Diagnostics for Finite Mixture Models. Biometrics. 46(4). 1047–1047. 10 indexed citations

19.

Jorgensen, Murray. (1987). Jackknifing fixed points of iterations. Biometrika. 74(1). 207–211. 10 indexed citations

20.

Jorgensen, Murray, et al.. (1985). Effect of Four Presumptive Coliform Test Media, Incubation Time and Product Inoculum Size on Recovery of Coliforms from Dairy Products. Journal of Food Protection. 48(5). 388–392. 4 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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