Ryan P. Browne
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models
- Advanced Clustering Algorithms Research
Papers in
-
- Statistical Methods and Bayesian Inference 12
- Advanced Statistical Methods and Models 6
- Statistical Distribution Estimation and Applications 6
- Statistical Methods and Inference 6
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- Bayesian Methods and Mixture Models 34
- Advanced Clustering Algorithms Research 17
- Co-authors
- Paul D. McNicholas (25 shared papers)Brian C. Franczak (6 shared papers)Paula Murray (4 shared papers)Utkarsh J. Dang (3 shared papers)Stefan H. Steiner (7 shared papers)Robert J. MacKay (6 shared papers)Cristina Tortora (3 shared papers)Antonio Punzo (3 shared papers)
- Journals
- Journal of Classification (7 papers)Advances in Data Analysis and Classification (7 papers)Technometrics (3 papers)Computational Statistics & Data Analysis (3 papers)Journal of Quality Technology (2 papers)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Ryan P. Browne
44 papers receiving 735 citations
Peers
Comparison fields: 5 of 84
- Statistics and Probability 351
- Artificial Intelligence 564
- Statistics, Probability and Uncertainty 48
- Computational Mathematics 4
- Signal Processing 73
Countries citing papers authored by Ryan P. Browne
This map shows the geographic impact of Ryan P. Browne'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 Ryan P. Browne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan P. Browne more than expected).
Fields of papers citing papers by Ryan P. Browne
This network shows the impact of papers produced by Ryan P. Browne. 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 Ryan P. Browne. The network helps show where Ryan P. Browne may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan P. Browne, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 110 | |
| 2 | 2014 | 107 | |
| 3 | 2014 | 62 | |
| 4 | 2011 | 54 | |
| 5 | 2015 | 51 | |
| 6 | 2013 | 50 | |
| 7 | 2012 | 35 | |
| 8 | 2012 | 23 | |
| 9 | 2015 | 22 | |
| 10 | 2017 | 21 | |
| 11 | 2016 | 19 | |
| 12 | 2015 | 19 | |
| 13 | 2017 | 15 | |
| 14 | 2015 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2010 | 12 | |
| 17 | 2009 | 11 | |
| 18 | 2015 | 11 | |
| 19 | 2010 | 10 | |
| 20 | 2018 | 10 |
About Ryan P. Browne
Ryan P. Browne is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Signal Processing and Food Science, having authored 51 papers that have together received 743 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (34 papers), Advanced Clustering Algorithms Research (17 papers), Statistical Methods and Bayesian Inference (12 papers), Advanced Statistical Process Monitoring (8 papers), Advanced Statistical Methods and Models (6 papers), Statistical Distribution Estimation and Applications (6 papers), Statistical Methods and Inference (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Statistics and Probability (351 citations), Artificial Intelligence (564 citations), Statistics, Probability and Uncertainty (48 citations), Computational Mathematics (4 citations) and Signal Processing (73 citations). Ryan P. Browne has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Paul D. McNicholas, Brian C. Franczak, Paula Murray, Utkarsh J. Dang, Stefan H. Steiner, Robert J. MacKay, Cristina Tortora, Antonio Punzo, Marc G. Genton and Nathaniel T. Stevens. Their work appears in journals such as Journal of Classification, Advances in Data Analysis and Classification, Technometrics, Computational Statistics & Data Analysis and Journal of Quality Technology.
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.