P. M. Grundy
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Hematology top 10%
- Statistics, Probability and Uncertainty top 2%
- Management Science and Operations Research top 10%
- Co-authors
- F YatesM. J. R. HealyDavid ReesCedric A. B. SmithD. J. BowenS. KeeneyPaula Bolton‐MaggsWill Lester
- Topics
- Platelet Disorders and Treatments (3 papers)Advanced Statistical Methods and Models (3 papers)Advanced Statistical Process Monitoring (3 papers)
- Journals
- BiometricsBiometrikaJournal of the Royal Statistical Society Series B (Statistical Methodology)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
P. M. Grundy
14 papers receiving 486 citations
Peers
Comparison fields: 5 of 101
- Statistics and Probability 259
- Artificial Intelligence 127
- Hematology 125
- Statistics, Probability and Uncertainty 94
- Management Science and Operations Research 52
Countries citing papers authored by P. M. Grundy
This map shows the geographic impact of P. M. Grundy'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 P. M. Grundy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. M. Grundy more than expected).
Fields of papers citing papers by P. M. Grundy
This network shows the impact of papers produced by P. M. Grundy. 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 P. M. Grundy. The network helps show where P. M. Grundy may publish in the future.
Co-authorship network of co-authors of P. M. Grundy
This figure shows the co-authorship network connecting the top 25 collaborators of P. M. Grundy. A scholar is included among the top collaborators of P. M. Grundy 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 P. M. Grundy. P. M. Grundy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 102 | |
| 3 | 18 | |
| 4 | 24 | |
| 5 | 0 | |
| 6 | 57 | |
| 7 | 19 | |
| 8 | 13 | |
| 9 | 9 | |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 261 | |
| 13 | 11 | |
| 14 | 3 | |
| 15 | 25 | |
| 16 | 31 |
About P. M. Grundy
P. M. Grundy is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Hematology, having authored 16 papers that have together received 597 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (3 papers), Advanced Statistical Methods and Models (3 papers) and Advanced Statistical Process Monitoring (3 papers). The work is most often cited by research in Statistics and Probability (259 citations), Statistics, Probability and Uncertainty (94 citations) and Hematology (125 citations). P. M. Grundy has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include F Yates, M. J. R. Healy, David Rees, Cedric A. B. Smith, D. J. Bowen, S. Keeney, Paula Bolton‐Maggs, Will Lester, A. M. Cumming and Frank G. H. Hill. Their work appears in journals such as Biometrics, Biometrika 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.