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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- Sports Analytics and Performance 5
- Co-authors
- J. A. Hartigan (10 shared papers)Avril Hegarty (1 shared paper)Michael Hogan (1 shared paper)Graeme Woodward (1 shared paper)Andreas Willig (1 shared paper)Vicki Livingstone (1 shared paper)Anthony Danalis (3 shared papers)Wolfgang Karl Härdle (1 shared paper)
- Journals
- The Annals of Statistics (4 papers)Journal of the American Statistical Association (3 papers)Journal of Applied Probability (2 papers)Statistics in Medicine (2 papers)Statistical Science (2 papers)
- Partner nations
- IrelandUnited StatesNew Zealand
In The Last Decade
Daniel Barry
26 papers receiving 945 citations
Peers
Comparison fields: 5 of 140
- Statistics and Probability 301
- Paleontology 71
- Artificial Intelligence 271
- Statistics, Probability and Uncertainty 54
- Finance 72
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 23 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 455 | |
| 2 | 1992 | 191 | |
| 3 | 1987 | 125 | |
| 4 | 1987 | 70 | |
| 5 | 1986 | 45 | |
| 6 | 1993 | 23 | |
| 7 | 1993 | 19 | |
| 8 | 1990 | 18 | |
| 9 | 1997 | 15 | |
| 10 | 2008 | 9 | |
| 11 | 1996 | 8 | |
| 12 | 1993 | 8 | |
| 13 | 2007 | 6 | |
| 14 | 2005 | 6 | |
| 15 | 1987 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2002 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 1992 | 2 | |
| 20 | 2002 | 1 |
About Daniel Barry
Daniel Barry is a scholar working on Statistics and Probability, Economics and Econometrics, Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (9 papers), Advanced Statistical Methods and Models (6 papers), Statistical Methods and Inference (5 papers), Sports Analytics and Performance (5 papers), Consumer Market Behavior and Pricing (3 papers), Parallel Computing and Optimization Techniques (3 papers), Nutritional Studies and Diet (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Statistics and Probability (301 citations), Paleontology (71 citations), Artificial Intelligence (271 citations), Statistics, Probability and Uncertainty (54 citations) and Finance (72 citations). Daniel Barry has collaborated with scholars based in Ireland, United States and New Zealand. Frequent co-authors include J. A. Hartigan, Avril Hegarty, Michael Hogan, Graeme Woodward, Andreas Willig, Vicki Livingstone, Anthony Danalis, Wolfgang Karl Härdle, Jack Dongarra and W.A. Lane. Their work appears in journals such as The Annals of Statistics, Journal of the American Statistical Association, Journal of Applied Probability, Statistics in Medicine and Statistical Science.
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.