Lorcan Coyle

1.7k citations
43 papers · 935 · h-index 15

Impact in

Papers in

Lorcan Coyle

40 papers receiving 866 citations

Peers

Lorcan Coyle
Comparison fields: 5 of 102
  • Information Systems 366
  • Computer Vision and Pattern Recognition 318
  • Artificial Intelligence 403
  • Computer Networks and Communications 255
  • Computer Science Applications 58
Replace Juan F. Huete with:
Juan F. Huete Spain
Kun Yue China
Mihajlo Grbovic United States
Dietmar Ebner Austria
Giuseppe D’Aniello Italy
Mohsen Kahani Iran
Luca Console Italy
Fuyuki Ishikawa Japan
Hongji Yang United Kingdom
Opher Etzion Israel
Lorcan Coyle relative to Juan F. Huete Spain Juan F. Huete's profile →
Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Lorcan Coyle

Since Specialization
Citations

This map shows the geographic impact of Lorcan Coyle'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 Lorcan Coyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorcan Coyle more than expected).

Fields of papers citing papers by Lorcan Coyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lorcan Coyle. 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 Lorcan Coyle. The network helps show where Lorcan Coyle may publish in the future.

Co-authors

The 25 scholars most cited alongside Lorcan Coyle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lorcan Coyle Line = papers co-authored together Lorcan Coyle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005143
2 2007114
3 2010106
4
CATS: A Synchronous Approach to Collaborative Group Recommendation
200677
5 200666
6 201064
7 200545
8 200826
9
Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
200926
10 201023
11 200820
12 201018
13
Using Situation Lattices to Model and Reason about Context
200716
14
Representing Cases for CBR in XML
200216
15 200616
16 200914
17 201014
18
ConStruct -- A Decentralised Context Infrastructure for Ubiquitous Computing Environments
200511
19
Sensor Fusion-Based Middleware for Smart Homes
200611
20 20079

About Lorcan Coyle

Lorcan Coyle is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, Artificial Intelligence and Signal Processing, having authored 43 papers that have together received 935 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (21 papers), Data Management and Algorithms (5 papers), Energy Efficient Wireless Sensor Networks (5 papers), IoT and Edge/Fog Computing (5 papers), Peer-to-Peer Network Technologies (4 papers), Data Stream Mining Techniques (4 papers), Human Mobility and Location-Based Analysis (3 papers) and User Authentication and Security Systems (3 papers). The work is most often cited by research in Information Systems (366 citations), Computer Vision and Pattern Recognition (318 citations), Artificial Intelligence (403 citations), Computer Networks and Communications (255 citations) and Computer Science Applications (58 citations). Lorcan Coyle has collaborated with scholars based in Ireland, United Kingdom and Australia. Frequent co-authors include Pádraig Cunningham, Paddy Nixon, Simon Dobson, Juan Ye, Jill Freyne, Sarah Jane Delany, Barry Smyth, Alexey Tsymbal, María Salamó and Kevin McCarthy. Their work appears in journals such as Computer, Communications of the ACM, Artificial Intelligence Review, The Knowledge Engineering Review and Knowledge-Based Systems.

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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