Paul Murrell
Impact in
- Statistics and Probability top 5%
- Statistics Education and Methodologies
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in ⓘ
- Software 2
- Co-authors
- Achim Zeileis (5 shared papers)Kurt Hornik (6 shared papers)Ross Ihaka (5 shared papers)Jason C. Fisher (2 shared papers)Roger W. Hoerl (1 shared paper)Roger D. Peng (1 shared paper)Mark Daniel Ward (1 shared paper)Duncan Temple Lang (2 shared papers)
- Journals
- The R Journal (7 papers)Journal of Computational and Graphical Statistics (5 papers)Journal of Statistical Software (4 papers)Osteoporosis International (1 paper)Wiley Interdisciplinary Reviews Computational Statistics (1 paper)
- Partner nations
- New ZealandUnited StatesAustria
In The Last Decade
Paul Murrell
38 papers receiving 647 citations
Peers
Comparison fields: 5 of 154
- Statistics and Probability 131
- Computer Science Applications 29
- Ecological Modeling 21
- Computer Vision and Pattern Recognition 97
- Information Systems and Management 30
Countries citing papers authored by Paul Murrell
This map shows the geographic impact of Paul Murrell'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 Paul Murrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Murrell more than expected).
Fields of papers citing papers by Paul Murrell
This network shows the impact of papers produced by Paul Murrell. 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 Paul Murrell. The network helps show where Paul Murrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Murrell, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 141 | |
| 2 | 2009 | 135 | |
| 3 | 2020 | 104 | |
| 4 | R Graphics | 2005 | 100 |
| 5 | 2005 | 44 | |
| 6 | 2001 | 22 | |
| 7 | 2001 | 18 | |
| 8 | 2015 | 17 | |
| 9 | 2006 | 14 | |
| 10 | 2010 | 10 | |
| 11 | 2009 | 10 | |
| 12 | 2013 | 9 | |
| 13 | 2009 | 9 | |
| 14 | 2009 | 7 | |
| 15 | Color Space Manipulation | 2015 | 7 |
| 16 | 2006 | 6 | |
| 17 | 1999 | 6 | |
| 18 | 2018 | 6 | |
| 19 | 2000 | 5 | |
| 20 | 2023 | 3 |
About Paul Murrell
Paul Murrell is a scholar working on Architecture, Software, Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 44 papers that have together received 706 indexed citations. Recurring topics across this work include Data Analysis with R (14 papers), Data Visualization and Analytics (9 papers), Distributed and Parallel Computing Systems (3 papers), Sensory Analysis and Statistical Methods (3 papers), Data Management and Algorithms (2 papers), Computational Physics and Python Applications (2 papers), Statistics Education and Methodologies (2 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Statistics and Probability (131 citations), Computer Science Applications (29 citations), Ecological Modeling (21 citations), Computer Vision and Pattern Recognition (97 citations) and Information Systems and Management (30 citations). Paul Murrell has collaborated with scholars based in New Zealand, United States and Austria. Frequent co-authors include Achim Zeileis, Kurt Hornik, Ross Ihaka, Jason C. Fisher, Roger W. Hoerl, Roger D. Peng, Mark Daniel Ward, Duncan Temple Lang, Claire D. McWhite and Claus O. Wilke. Their work appears in journals such as The R Journal, Journal of Computational and Graphical Statistics, Journal of Statistical Software, Osteoporosis International and Wiley Interdisciplinary Reviews Computational Statistics.
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.