Philip J. McCarthy
- Statistics and Probability top 2%
- Management Science and Operations Research top 10%
- Sociology and Political Science
- Artificial Intelligence
- Economics and Econometrics
- Co-authors
- Cecelia B. SnowdenW. Edwards DemingFrederick F. StephanLester R. FrankelChristopher NielsenDonovan J. ThompsonStephen L. SmithHanan C. Selvin
- Topics
- Survey Sampling and Estimation Techniques (4 papers)Nonlinear Dynamics and Pattern Formation (4 papers)Bayesian Methods and Mixture Models (3 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Journals
- Journal of the American Statistical AssociationJournal of MarketingAmerican Sociological Review
- Partner nations
- CanadaUnited States
In The Last Decade
Philip J. McCarthy
19 papers receiving 348 citations
Peers
Comparison fields: 5 of 113
- Statistics and Probability 202
- Management Science and Operations Research 81
- Sociology and Political Science 66
- Artificial Intelligence 45
- Economics and Econometrics 38
Countries citing papers authored by Philip J. McCarthy
This map shows the geographic impact of Philip J. McCarthy'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 Philip J. McCarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip J. McCarthy more than expected).
Fields of papers citing papers by Philip J. McCarthy
This network shows the impact of papers produced by Philip J. McCarthy. 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 Philip J. McCarthy. The network helps show where Philip J. McCarthy may publish in the future.
Co-authorship network of co-authors of Philip J. McCarthy
This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. McCarthy. A scholar is included among the top collaborators of Philip J. McCarthy 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 Philip J. McCarthy. Philip J. McCarthy 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | The bootstrap and finite population sampling. | 61 |
| 7 | 48 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 106 | |
| 11 | 0 | |
| 12 | 20 | |
| 13 | Replication: an approach to the analysis of data from complex surveys. | 79 |
| 14 | 8 | |
| 15 | 2 | |
| 16 | 45 | |
| 17 | 31 | |
| 18 | 2 | |
| 19 | 17 | |
| 20 | 5 |
About Philip J. McCarthy
Philip J. McCarthy is a scholar working on Statistics and Probability, Computer Networks and Communications and Management Science and Operations Research, having authored 20 papers that have together received 442 indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Statistics and Probability (202 citations), Management Science and Operations Research (81 citations) and Statistics, Probability and Uncertainty (32 citations). Philip J. McCarthy has collaborated with scholars based in Canada and United States. Frequent co-authors include Cecelia B. Snowden, W. Edwards Deming, Frederick F. Stephan, Lester R. Frankel, Christopher Nielsen, Donovan J. Thompson, Stephen L. Smith, Hanan C. Selvin and Charles Y. Glock. Their work appears in journals such as Journal of the American Statistical Association, Journal of Marketing and American Sociological Review.
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.