Conor Hayes

1.8k citations
77 papers · 808 indexed · h-index 16

Impact in

Papers in

Conor Hayes

72 papers receiving 727 citations

Peers

Conor Hayes
Comparison fields: 5 of 85
  • Information Systems 422
  • Statistical and Nonlinear Physics 151
  • Artificial Intelligence 379
  • Communication 59
  • Computer Science Applications 41
Replace Ernesto William De Luca with:
Ernesto William De Luca Germany
Haggai Roitman Israel
Elena Zheleva United States
Richard McCreadie United Kingdom
Naama Zwerdling Israel
Erel Uziel Israel
Lara Quijano-Sánchez Spain
Zongyang Ma Singapore
Eric J. Glover United States
Pranam Kolari United States
Conor Hayes relative to Ernesto William De Luca Germany Ernesto William De Luca's profile →
Citations per field
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Ernesto William De Luca · 1×
Citations per year

Countries citing papers authored by Conor Hayes

Since Specialization
Citations

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

Fields of papers citing papers by Conor Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Conor Hayes, 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 Conor Hayes Line = papers co-authored together Conor Hayes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20240
3 20206
4 20194
5 20191
6 20172
7 20163
8 20161
9
Here, have an upvote: Communication behaviour and karma on Reddit
20134
10
Personalisation of Social Web Services in the Enterprise Using Spreading Activation for Multi-Source, Cross-Domain Recommendations
20124
11 20121
12 20115
13 201110
14
Using Linked Data to Build Open, Collaborative Recommender Systems.
201054
15 20102
16 201015
17
Closing the service discovery gap by collaborative tagging and clustering techniques
200810
18
An analysis of the use of tags in a blog recommender system
200725
19
Programme driven music radio
20026
20
Automated Case Generation for Recommender Systems Using Knowledge Discovery Techniques
20015

About Conor Hayes

Conor Hayes is a scholar working on Statistical and Nonlinear Physics, Communication, Information Systems, Signal Processing and Artificial Intelligence, having authored 77 papers that have together received 808 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (30 papers), Semantic Web and Ontologies (14 papers), Recommender Systems and Techniques (13 papers), Opinion Dynamics and Social Influence (12 papers), Topic Modeling (8 papers), Expert finding and Q&A systems (7 papers), Web Data Mining and Analysis (7 papers) and Service-Oriented Architecture and Web Services (7 papers). The work is most often cited by research in Information Systems (422 citations), Statistical and Nonlinear Physics (151 citations), Artificial Intelligence (379 citations), Communication (59 citations) and Computer Science Applications (41 citations). Conor Hayes has collaborated with scholars based in Ireland, United Kingdom and Germany. Frequent co-authors include Pádraig Cunningham, Jeffrey Chan, Marcel Karnstedt, Derek Greene, Paolo Massa, Elizabeth Daly, Paolo Avesani, Danh Le-Phuoc, Stefan Decker and Matthew Rowe. Their work appears in journals such as Social Network Analysis and Mining, Knowledge-Based Systems, System Dynamics Review, International Journal of Infectious Diseases and JMIR Public Health and Surveillance.

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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