L. I. Pettit
- Statistics and Probability top 2%
- Economics and Econometrics top 10%
- Statistics, Probability and Uncertainty top 2%
- Artificial Intelligence
- Sociology and Political Science
- Topics
- Advanced Statistical Methods and Models (13 papers)Advanced Statistical Process Monitoring (8 papers)Statistical Methods and Bayesian Inference (5 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintySafety, Risk, Reliability and Quality
- Journals
- Journal of the American Statistical AssociationEuropean Journal of Operational ResearchBiometrika
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
L. I. Pettit
25 papers receiving 793 citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Statistics and Probability 241
- Economics and Econometrics 91
- Statistics, Probability and Uncertainty 91
- Artificial Intelligence 79
- Sociology and Political Science 63
Countries citing papers authored by L. I. Pettit
This map shows the geographic impact of L. I. Pettit'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 L. I. Pettit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. I. Pettit more than expected).
Fields of papers citing papers by L. I. Pettit
This network shows the impact of papers produced by L. I. Pettit. 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 L. I. Pettit. The network helps show where L. I. Pettit may publish in the future.
Co-authorship network of co-authors of L. I. Pettit
This figure shows the co-authorship network connecting the top 25 collaborators of L. I. Pettit. A scholar is included among the top collaborators of L. I. Pettit 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 L. I. Pettit. L. I. Pettit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 48 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Conditioning Diagnostics: Collinearity and Weak Data in Regression.breakdown → | 510 |
| 19 | 43 | |
| 20 | 21 |
About L. I. Pettit
L. I. Pettit is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and History and Philosophy of Science, having authored 26 papers that have together received 824 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (13 papers), Advanced Statistical Process Monitoring (8 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Statistics and Probability (241 citations), Statistics, Probability and Uncertainty (91 citations) and Safety, Risk, Reliability and Quality (54 citations). L. I. Pettit has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include K. D. S. Young, Michael P. Wiper, J. Lynn Palmer, J. R. Donnison and H. W. Peers. Their work appears in journals such as Journal of the American Statistical Association, European Journal of Operational Research and Biometrika.
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.