Catherine Hurley

986 total citations
22 papers, 581 citations indexed

About

Catherine Hurley is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Food Science. According to data from OpenAlex, Catherine Hurley has authored 22 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 3 papers in Food Science. Recurrent topics in Catherine Hurley's work include Data Visualization and Analytics (12 papers), Data Analysis with R (9 papers) and Sensory Analysis and Statistical Methods (3 papers). Catherine Hurley is often cited by papers focused on Data Visualization and Analytics (12 papers), Data Analysis with R (9 papers) and Sensory Analysis and Statistical Methods (3 papers). Catherine Hurley collaborates with scholars based in Ireland, United Kingdom and United States. Catherine Hurley's co-authors include Andreas Buja, Dianne Cook, Javier Cabrera, R. Wayne Oldford, Andrew Parnell, Javier Cabrera, Graeme I. Stevenson, Mark D. Tricklebank, John A. Kemp and Richard Hargreaves and has published in prestigious journals such as Blood, Journal of Medicinal Chemistry and Journal of Statistical Software.

In The Last Decade

Catherine Hurley

21 papers receiving 534 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Catherine Hurley Ireland	10	205	200	97	87	61	22	581
Marcel Brun United States	17	223 1.1×	100 0.5×	56 0.6×	430 4.9×	23 0.4×	59	882
J. Martı́n Spain	14	208 1.0×	23 0.1×	112 1.2×	25 0.3×	169 2.8×	57	727
Marcos Gestal Spain	13	59 0.3×	32 0.2×	17 0.2×	131 1.5×	9 0.1×	40	402
Jürgen Franke Germany	18	131 0.6×	47 0.2×	58 0.6×	49 0.6×	421 6.9×	56	1.1k
Debojyoti Dutta United States	15	120 0.6×	45 0.2×	33 0.3×	303 3.5×	6 0.1×	25	890
Alexander I. Luik Ukraine	3	119 0.6×	30 0.1×	15 0.2×	96 1.1×	8 0.1×	3	630
Carlos Morell Cuba	12	330 1.6×	212 1.1×	15 0.2×	124 1.4×	7 0.1×	44	673
Greg C. G. Wei United States	10	341 1.7×	28 0.1×	40 0.4×	84 1.0×	600 9.8×	21	1.1k
Marie Cottrell France	15	399 1.9×	161 0.8×	104 1.1×	35 0.4×	11 0.2×	42	662

Countries citing papers authored by Catherine Hurley

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Catherine Hurley

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Hurley. A scholar is included among the top collaborators of Catherine Hurley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Catherine Hurley. Catherine Hurley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Parnell, Andrew, et al.. (2023). vivid: An R package for Variable Importance and Variable Interactions Displays for Machine Learning Models. The R Journal. 15(2). 344–361. 5 indexed citations

Hurley, Catherine, et al.. (2023). Bayesian additive regression trees for genotype by environment interaction models. The Annals of Applied Statistics. 17(3). 3 indexed citations

Moral, Rafael de Andrade, et al.. (2023). Going beyond richness: Modelling the BEF relationship using species identity, evenness, richness and species interactions via the DImodels R package. Methods in Ecology and Evolution. 14(9). 2250–2258. 6 indexed citations

Hurley, Catherine, et al.. (2021). Interactive Slice Visualization for Exploring Machine Learning Models. Journal of Computational and Graphical Statistics. 31(1). 1–13. 4 indexed citations

Parnell, Andrew, et al.. (2021). Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models. Journal of Computational and Graphical Statistics. 31(3). 766–778. 70 indexed citations

Hurley, Catherine. (2020). Model exploration using conditional visualization. Wiley Interdisciplinary Reviews Computational Statistics. 13(1). 3 indexed citations

Sieger, Tomáš, Catherine Hurley, Karel Fišer, & Claudia Beleites. (2017). Interactive Dendrograms: The R Packages idendro and idendr0. Journal of Statistical Software. 76(10). 9 indexed citations

Hurley, Catherine, et al.. (2016). Experience of Endocrine Late Effects in Children with Haemolobinopathies Post Thiotepa Based Haematopoetic Stem Cell Transplant (HSCT) Regimens. Blood. 128(22). 5801–5801.

Hurley, Catherine, et al.. (2014). Advances in Dendrogram Seriation for Application to Visualization. Journal of Computational and Graphical Statistics. 24(1). 1–25. 19 indexed citations

10.

Hurley, Catherine & R. Wayne Oldford. (2011). Graphs as navigational infrastructure for high dimensional data spaces. Computational Statistics. 26(4). 585–612. 7 indexed citations

11.

Hurley, Catherine & R. Wayne Oldford. (2010). Pairwise Display of High-Dimensional Information via Eulerian Tours and Hamiltonian Decompositions. Journal of Computational and Graphical Statistics. 19(4). 861–886. 35 indexed citations

12.

Hurley, Catherine. (2004). Clustering Visualizations of Multidimensional Data. Journal of Computational and Graphical Statistics. 13(4). 788–806. 57 indexed citations

13.

Hurley, Catherine. (2000). Graphical Selection of Data Views. Journal of Computational and Graphical Statistics. 9(3). 558–581. 2 indexed citations

14.

Hurley, Catherine & R. Wayne Oldford. (1999). Statistical Graphics in QUAIL: An Overview. Maynooth University ePrints and eTheses Archive (Maynooth University). 1 indexed citations

15.

Rowley, Michael, Janusz J. Kulagowski, Alan P. Watt, et al.. (1997). Effect of Plasma Protein Binding on in Vivo Activity and Brain Penetration of Glycine/NMDA Receptor Antagonists. Journal of Medicinal Chemistry. 40(25). 4053–4068. 103 indexed citations

16.

Cook, Dianne, Andreas Buja, Javier Cabrera, & Catherine Hurley. (1995). Grand Tour and Projection Pursuit. Journal of Computational and Graphical Statistics. 4(3). 155–155. 62 indexed citations

17.

Cook, Dianne, Andreas Buja, Javier Cabrera, & Catherine Hurley. (1995). Grand Tour and Projection Pursuit. Journal of Computational and Graphical Statistics. 4(3). 155–172. 130 indexed citations

18.

Hurley, Catherine. (1993). The Plot-Data Interface in Statistical Graphics. Journal of Computational and Graphical Statistics. 2(4). 365–365. 2 indexed citations

19.

Hurley, Catherine. (1993). The Plot-Data Interface in Statistical Graphics. Journal of Computational and Graphical Statistics. 2(4). 365–379. 6 indexed citations

20.

Hurley, Catherine & Andreas Buja. (1990). Analyzing High-Dimensional Data with Motion Graphics. SIAM Journal on Scientific and Statistical Computing. 11(6). 1193–1211. 40 indexed citations

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.

Explore authors with similar magnitude of impact