Catherine Hurley
Impact in
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- Data Visualization and Analytics
- Signal Processing top 10%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
Papers in
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- Data Visualization and Analytics 12
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- Data Analysis with R 9
- Explainable Artificial Intelligence (XAI) 2
- Bayesian Modeling and Causal Inference 2
- Advanced Clustering Algorithms Research 2
- Co-authors
- Andreas Buja (3 shared papers)Dianne Cook (2 shared papers)Javier Cabrera (1 shared paper)R. Wayne Oldford (4 shared papers)Andrew Parnell (3 shared papers)George Marshall (1 shared paper)Graeme I. Stevenson (1 shared paper)Alan C. Foster (1 shared paper)
- Journals
- Journal of Computational and Graphical Statistics (10 papers)Journal of Statistical Software (2 papers)The Annals of Applied Statistics (1 paper)The R Journal (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- IrelandUnited KingdomUnited States
In The Last Decade
Catherine Hurley
21 papers receiving 534 citations
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 200
- Signal Processing 97
- Statistics and Probability 61
- Computer Graphics and Computer-Aided Design 25
- Artificial Intelligence 205
Countries citing papers authored by Catherine Hurley
This map shows the geographic impact of Catherine Hurley'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 Catherine Hurley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Hurley more than expected).
Fields of papers citing papers by Catherine Hurley
This network shows the impact of papers produced by Catherine Hurley. 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 Catherine Hurley. The network helps show where Catherine Hurley may publish in the future.
Co-authors
The 25 scholars most cited alongside Catherine Hurley, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 130 | |
| 2 | 1997 | 103 | |
| 3 | 2021 | 70 | |
| 4 | 1995 | 62 | |
| 5 | 2004 | 57 | |
| 6 | 1990 | 40 | |
| 7 | 2010 | 35 | |
| 8 | 2014 | 19 | |
| 9 | 2011 | 12 | |
| 10 | 2017 | 9 | |
| 11 | 2011 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 1993 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2017 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2000 | 2 | |
| 20 | 1993 | 2 |
About Catherine Hurley
Catherine Hurley is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Food Science, Statistics and Probability and Experimental and Cognitive Psychology, having authored 22 papers that have together received 581 indexed citations. Recurring topics across this work include Data Visualization and Analytics (12 papers), Data Analysis with R (9 papers), Sensory Analysis and Statistical Methods (3 papers), Statistical Methods and Bayesian Inference (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Mental Health Research Topics (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Advanced Clustering Algorithms Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (200 citations), Signal Processing (97 citations), Statistics and Probability (61 citations), Computer Graphics and Computer-Aided Design (25 citations) and Artificial Intelligence (205 citations). Catherine Hurley has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Andreas Buja, Dianne Cook, Javier Cabrera, R. Wayne Oldford, Andrew Parnell, Javier Cabrera, George Marshall, Graeme I. Stevenson, Alan C. Foster and Paul D. Leeson. Their work appears in journals such as Journal of Computational and Graphical Statistics, Journal of Statistical Software, The Annals of Applied Statistics, The R Journal and Journal of Medicinal Chemistry.
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.