Neil Hurley

4.8k citations
113 papers · 2.6k indexed · h-index 23
Topics
Recommender Systems and Techniques (44 papers)Complex Network Analysis Techniques (22 papers)Advanced Bandit Algorithms Research (18 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on Signal ProcessingIEEE Access
Partner nations
IrelandChinaSouth Korea

In The Last Decade

Neil Hurley

107 papers receiving 2.4k citations

Peers

Neil Hurley
Comparison fields: 5 of 129
  • Information Systems 1.4k
  • Artificial Intelligence 1.1k
  • Statistical and Nonlinear Physics 509
  • Computer Vision and Pattern Recognition 460
  • Computer Networks and Communications 450
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Citations per field
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Citations per year

Countries citing papers authored by Neil Hurley

Since Specialization
Citations

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).

Fields of papers citing papers by Neil Hurley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 6
4 0
5 3
6 1
7 1
8 5
9 9
10
Are You Reaching Your Audience? Exploring Item Exposure over Consumer Segments in Recommender Systems
1
11
How Diverse Is Your Audience? Exploring Consumer Diversity in Recommender Systems.
1
12
Incorporating Diversity in a Learning to Rank Recommender System.
22
13
Proceedings of the sixth ACM conference on Recommender systems
5
14
Sixth ACM Conference on Recommender Systems, RecSys '12, Dublin, Ireland, September 9-13, 2012
4
15
Diffusion in Complex Networks With Overlapping Community Structure
1
16
Towards Diverse Recommendation.
3
17
Exploring temporal ego networks using small multiples and tree-ring layouts
30
18 1
19
Recommender systems: attack types and strategies
60
20 17

About Neil Hurley

Neil Hurley is a scholar working on Information Systems, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 113 papers that have together received 2.6k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (44 papers), Complex Network Analysis Techniques (22 papers) and Advanced Bandit Algorithms Research (18 papers). The work is most often cited by research in Information Systems (1.4k citations), Statistical and Nonlinear Physics (509 citations) and Management Science and Operations Research (422 citations). Neil Hurley has collaborated with scholars based in Ireland, China and South Korea. Frequent co-authors include Mi Zhang, G.C.M. Silvestre, Michael P. O’Mahony, Aaron F. McDaid, Fergal Reid, Nicholas Kushmerick, Mi Zhang, Conrad Lee, Steven Henderson and Aonghus Lawlor. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and IEEE Access.

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.

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