Paul Murrell
Impact in
- Statistics and Probability top 5%
- Statistics Education and Methodologies
- Computer Science Applications top 10%
Papers in
-
- Data Analysis with R 15
- Computational Physics and Python Applications 2
-
- Data Visualization and Analytics 9
- Co-authors
- Achim Zeileis (5 shared papers)Kurt Hornik (6 shared papers)Ross Ihaka (5 shared papers)Jason C. Fisher (2 shared papers)Claus O. Wilke (1 shared paper)Reto Stauffer (1 shared paper)Claire D. McWhite (1 shared paper)D. Nolan (1 shared paper)
- Journals
- The R Journal (7 papers)Journal of Computational and Graphical Statistics (5 papers)Journal of Statistical Software (4 papers)Journal of Archaeological Science (1 paper)Accident Analysis & Prevention (1 paper)
- Partner nations
- New ZealandUnited StatesAustria
In The Last Decade
Paul Murrell
38 papers receiving 671 citations
Peers
Comparison fields: 5 of 153
- Statistics and Probability 132
- Computer Science Applications 27
- Computer Vision and Pattern Recognition 98
- Ecological Modeling 20
- 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 146 | |
| 2 | 2009 | 139 | |
| 3 | 2020 | 116 | |
| 4 | R Graphics | 2005 | 100 |
| 5 | 2005 | 45 | |
| 6 | 2001 | 22 | |
| 7 | 2001 | 18 | |
| 8 | 2015 | 17 | |
| 9 | 2006 | 15 | |
| 10 | 2010 | 11 | |
| 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 Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Food Science and Molecular Biology, having authored 45 papers that have together received 730 indexed citations. Recurring topics across this work include Data Analysis with R (15 papers), Data Visualization and Analytics (9 papers), Sensory Analysis and Statistical Methods (3 papers), Distributed and Parallel Computing Systems (3 papers), Computational Physics and Python Applications (2 papers), Data Management and Algorithms (2 papers), Statistics Education and Methodologies (2 papers) and Soil Geostatistics and Mapping (2 papers). The work is most often cited by research in Statistics and Probability (132 citations), Computer Science Applications (27 citations), Computer Vision and Pattern Recognition (98 citations), Ecological Modeling (20 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, Claus O. Wilke, Reto Stauffer, Claire D. McWhite, D. Nolan, Benjamin S. Baumer and Nicholas J. Horton. Their work appears in journals such as The R Journal, Journal of Computational and Graphical Statistics, Journal of Statistical Software, Journal of Archaeological Science and Accident Analysis & Prevention.
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.