Murray Jorgensen
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models
- Advanced Clustering Algorithms Research
Papers in
-
- Statistical Methods and Bayesian Inference 8
- Advanced Statistical Methods and Models 7
- Statistical Methods and Inference 3
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- Bayesian Methods and Mixture Models 9
- Advanced Clustering Algorithms Research 2
- Co-authors
- William J. Reed (1 shared paper)Lynette Hunt (3 shared papers)Christopher H. Lusk (2 shared papers)Nicholas J.G. Pearce (1 shared paper)David J. Lowe (1 shared paper)Christian A. Tryon (1 shared paper)Stephen C. Kuehn (1 shared paper)Chris Hayward (1 shared paper)
- Journals
- Computational Statistics & Data Analysis (2 papers)Biometrika (2 papers)The American Statistician (2 papers)Journal of Hydrology (1 paper)Functional Ecology (1 paper)
- Partner nations
- New ZealandAustraliaCanada
In The Last Decade
Murray Jorgensen
24 papers receiving 644 citations
Peers
Comparison fields: 5 of 133
- Statistics and Probability 115
- Artificial Intelligence 202
- Nature and Landscape Conservation 72
- Statistical and Nonlinear Physics 71
- Atmospheric Science 95
Countries citing papers authored by Murray Jorgensen
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
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-authors
The 18 scholars most cited alongside Murray Jorgensen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 285 | |
| 2 | 2017 | 102 | |
| 3 | 2003 | 71 | |
| 4 | 1999 | 48 | |
| 5 | 2011 | 45 | |
| 6 | 2013 | 38 | |
| 7 | 2014 | 31 | |
| 8 | Sex- and season-dependent behaviour in a flightless insect, the Auckland tree weta (Hemideina thoracica) | 2013 | 11 |
| 9 | 1990 | 10 | |
| 10 | 2004 | 10 | |
| 11 | 1987 | 10 | |
| 12 | 1992 | 6 | |
| 13 | 1993 | 5 | |
| 14 | 1985 | 4 | |
| 15 | 1999 | 4 | |
| 16 | 2008 | 4 | |
| 17 | 1999 | 3 | |
| 18 | 1998 | 2 | |
| 19 | 2006 | 2 | |
| 20 | 2004 | 2 |
About Murray Jorgensen
Murray Jorgensen is a scholar working on Statistics and Probability, Artificial Intelligence, Global and Planetary Change, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 26 papers that have together received 697 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (9 papers), Statistical Methods and Bayesian Inference (8 papers), Advanced Statistical Methods and Models (7 papers), Statistical Methods and Inference (3 papers), Advanced Clustering Algorithms Research (2 papers), Ecology and Vegetation Dynamics Studies (2 papers), Molecular spectroscopy and chirality (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Statistics and Probability (115 citations), Artificial Intelligence (202 citations), Nature and Landscape Conservation (72 citations), Statistical and Nonlinear Physics (71 citations) and Atmospheric Science (95 citations). Murray Jorgensen has collaborated with scholars based in New Zealand, Australia and Canada. Frequent co-authors include William J. Reed, Lynette Hunt, Christopher H. Lusk, Nicholas J.G. Pearce, David J. Lowe, Christian A. Tryon, Stephen C. Kuehn, Chris Hayward, Peter J. Bellingham and Priscilla M. Wehi. Their work appears in journals such as Computational Statistics & Data Analysis, Biometrika, The American Statistician, Journal of Hydrology and Functional Ecology.
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.