Daniel Barry
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Paleontology top 10%
- Evolution and Paleontology Studies
Papers in
-
- Statistical Methods and Bayesian Inference 9
- Advanced Statistical Methods and Models 6
- Statistical Methods and Inference 5
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- Advanced Data Storage Technologies 3
- Co-authors
- J. A. Hartigan (10 shared papers)Avril Hegarty (1 shared paper)Anthony Danalis (4 shared papers)Vicki Livingstone (1 shared paper)Andreas Willig (2 shared papers)Michael Hogan (1 shared paper)Heike Jagode (3 shared papers)Graeme Woodward (2 shared papers)
- Journals
- The Annals of Statistics (4 papers)Journal of the American Statistical Association (3 papers)Statistical Science (2 papers)Statistics in Medicine (2 papers)Journal of Applied Probability (2 papers)
- Partner nations
- IrelandUnited StatesNew Zealand
In The Last Decade
Daniel Barry
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 135
- Statistics and Probability 321
- Paleontology 79
- Statistics, Probability and Uncertainty 61
- Artificial Intelligence 296
- Finance 75
Countries citing papers authored by Daniel Barry
This map shows the geographic impact of Daniel Barry'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 Daniel Barry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Barry more than expected).
Fields of papers citing papers by Daniel Barry
This network shows the impact of papers produced by Daniel Barry. 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 Daniel Barry. The network helps show where Daniel Barry may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniel Barry, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 483 | |
| 2 | 1992 | 204 | |
| 3 | 1987 | 146 | |
| 4 | 1987 | 85 | |
| 5 | 1986 | 53 | |
| 6 | 1993 | 27 | |
| 7 | 1993 | 19 | |
| 8 | 1990 | 18 | |
| 9 | 1997 | 15 | |
| 10 | 2008 | 10 | |
| 11 | 1996 | 9 | |
| 12 | 1993 | 8 | |
| 13 | 2007 | 6 | |
| 14 | 2005 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 1987 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2002 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Daniel Barry
Daniel Barry is a scholar working on Statistics and Probability, Computer Networks and Communications, Economics and Econometrics, Hardware and Architecture and Artificial Intelligence, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (9 papers), Advanced Statistical Methods and Models (6 papers), Sports Analytics and Performance (5 papers), Statistical Methods and Inference (5 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (3 papers), Consumer Market Behavior and Pricing (3 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Statistics and Probability (321 citations), Paleontology (79 citations), Statistics, Probability and Uncertainty (61 citations), Artificial Intelligence (296 citations) and Finance (75 citations). Daniel Barry has collaborated with scholars based in Ireland, United States and New Zealand. Frequent co-authors include J. A. Hartigan, Avril Hegarty, Anthony Danalis, Vicki Livingstone, Andreas Willig, Michael Hogan, Heike Jagode, Graeme Woodward, Jack Dongarra and W.A. Lane. Their work appears in journals such as The Annals of Statistics, Journal of the American Statistical Association, Statistical Science, Statistics in Medicine and Journal of Applied Probability.
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.