This map shows the geographic impact of Neil 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 Neil Hurley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Hurley more than expected).
This network shows the impact of papers produced by Neil 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 Neil Hurley. The network helps show where Neil Hurley may publish in the future.
Co-authorship network of co-authors of Neil Hurley
This figure shows the co-authorship network connecting the top 25 collaborators of Neil Hurley.
A scholar is included among the top collaborators of Neil 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 Neil Hurley. Neil Hurley is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hurley, Neil, et al.. (2017). Are You Reaching Your Audience? Exploring Item Exposure over Consumer Segments in Recommender Systems. Research Repository UCD (University College Dublin).1 indexed citations
11.
Hurley, Neil, et al.. (2017). How Diverse Is Your Audience? Exploring Consumer Diversity in Recommender Systems.. Research Repository UCD (University College Dublin).1 indexed citations
12.
Hurley, Neil, et al.. (2016). Incorporating Diversity in a Learning to Rank Recommender System.. The Florida AI Research Society. 572–578.22 indexed citations
13.
Cunningham, Pádraig, Neil Hurley, Ido Guy, & Sarabjot Singh Anand. (2012). Proceedings of the sixth ACM conference on Recommender systems. Conference on Recommender Systems.5 indexed citations
14.
Cunningham, Pádraig, Neil Hurley, Ido Guy, & Sarabjot Singh Anand. (2012). Sixth ACM Conference on Recommender Systems, RecSys '12, Dublin, Ireland, September 9-13, 2012.4 indexed citations
15.
Reid, Fergal & Neil Hurley. (2011). Diffusion in Complex Networks With Overlapping Community Structure. arXiv (Cornell University).1 indexed citations
16.
Hurley, Neil. (2011). Towards Diverse Recommendation.. Conference on Recommender Systems. 1.3 indexed citations
17.
Hurley, Neil, et al.. (2011). Exploring temporal ego networks using small multiples and tree-ring layouts. Advances in Computer-Human Interaction. 79–88.30 indexed citations
O’Mahony, Michael P., Neil Hurley, & G.C.M. Silvestre. (2005). Recommender systems: attack types and strategies. National Conference on Artificial Intelligence. 334–339.60 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.