Ryan P. Browne
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models
- Advanced Clustering Algorithms Research
Papers in
-
- Bayesian Methods and Mixture Models 33
- Advanced Clustering Algorithms Research 17
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- Statistical Methods and Bayesian Inference 11
- Statistical Methods and Inference 7
- Statistical Distribution Estimation and Applications 7
- Advanced Statistical Methods and Models 6
- Co-authors
- Paul D. McNicholas (22 shared papers)Brian C. Franczak (7 shared papers)Paula Murray (2 shared papers)Utkarsh J. Dang (2 shared papers)Stefan Steiner (7 shared papers)Robert J. MacKay (6 shared papers)Cristina Tortora (4 shared papers)Antonio Punzo (2 shared papers)
- Journals
- Advances in Data Analysis and Classification (7 papers)Computational Statistics & Data Analysis (4 papers)Journal of Classification (4 papers)Technometrics (3 papers)Statistics and Computing (2 papers)
- Partner nations
- CanadaItalyUnited States
In The Last Decade
Ryan P. Browne
42 papers receiving 583 citations
Peers
Comparison fields: 5 of 78
- Statistics and Probability 301
- Artificial Intelligence 442
- Computational Mathematics 4
- Statistics, Probability and Uncertainty 46
- Signal Processing 59
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 19 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 92 | |
| 2 | 2014 | 87 | |
| 3 | 2014 | 55 | |
| 4 | 2011 | 48 | |
| 5 | 2013 | 44 | |
| 6 | 2015 | 42 | |
| 7 | 2012 | 30 | |
| 8 | 2012 | 20 | |
| 9 | 2015 | 15 | |
| 10 | 2015 | 13 | |
| 11 | 2016 | 13 | |
| 12 | 2010 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2009 | 11 | |
| 15 | 2015 | 11 | |
| 16 | 2017 | 10 | |
| 17 | 2010 | 10 | |
| 18 | 2012 | 8 | |
| 19 | 2015 | 8 | |
| 20 | 2020 | 7 |
About Ryan P. Browne
Ryan P. Browne is a scholar working on Artificial Intelligence, Statistics and Probability, Statistics, Probability and Uncertainty, Signal Processing and Finance, having authored 48 papers that have together received 599 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (33 papers), Advanced Clustering Algorithms Research (17 papers), Statistical Methods and Bayesian Inference (11 papers), Advanced Statistical Process Monitoring (8 papers), Statistical Methods and Inference (7 papers), Statistical Distribution Estimation and Applications (7 papers), Advanced Statistical Methods and Models (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Statistics and Probability (301 citations), Artificial Intelligence (442 citations), Computational Mathematics (4 citations), Statistics, Probability and Uncertainty (46 citations) and Signal Processing (59 citations). Ryan P. Browne has collaborated with scholars based in Canada, Italy and United States. Frequent co-authors include Paul D. McNicholas, Brian C. Franczak, Paula Murray, Utkarsh J. Dang, Stefan Steiner, Robert J. MacKay, Cristina Tortora, Antonio Punzo, Nathaniel T. Stevens and Stefan H. Steiner. Their work appears in journals such as Advances in Data Analysis and Classification, Computational Statistics & Data Analysis, Journal of Classification, Technometrics and Statistics and Computing.
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.