Kevin Feeney

1.2k total citations
47 papers, 277 citations indexed

About

Kevin Feeney is a scholar working on Information Systems, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Kevin Feeney has authored 47 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Information Systems, 18 papers in Sociology and Political Science and 18 papers in Artificial Intelligence. Recurrent topics in Kevin Feeney's work include Service-Oriented Architecture and Web Services (22 papers), Semantic Web and Ontologies (14 papers) and Access Control and Trust (11 papers). Kevin Feeney is often cited by papers focused on Service-Oriented Architecture and Web Services (22 papers), Semantic Web and Ontologies (14 papers) and Access Control and Trust (11 papers). Kevin Feeney collaborates with scholars based in Ireland, United States and United Kingdom. Kevin Feeney's co-authors include David Lewis, Declan O’Sullivan, Rob Brennan, Harvey Whitehouse, Pieter François, Peter Turchin, Thomas E. Currie, Vincent Wade, Daniel Hoyer and John Keeney and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Sociological Review and Science Advances.

In The Last Decade

Kevin Feeney

47 papers receiving 254 citations

Peers

Kevin Feeney
Comparison fields: 5 of 77
  • Sociology and Political Science 112
  • Information Systems 89
  • Computer Networks and Communications 83
  • Artificial Intelligence 68
  • Management Information Systems 25
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Ed Summers United States
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David L. Sallach United States
Angela Smith United Kingdom
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Citations per field, relative to Kevin Feeney
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Citations per year, relative to Kevin Feeney
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Countries citing papers authored by Kevin Feeney

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Feeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Feeney

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Feeney. A scholar is included among the top collaborators of Kevin Feeney 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 Kevin Feeney. Kevin Feeney 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
# Work Indexed citations
1 1
2 12
3 23
4 6
5 5
6 4
7 21
8 14
9
Describing Reasoning Results with RVO, the Reasoning Violations Ontology
2
10
The ALIGNED Project Aligned, Quality-centric Software and Data Engineering Driven by Semantics
2
11 17
12
An Open Service Framework for Next Generation Localisation
1
13 12
14 8
15
Supporting Flexibility and Awareness in Localisation Workflows
2
16 5
17 2
18
Ontology-based engineering for self-managing communications
4
19
Semantic-based policy engineering for autonomic systems
4
20
An active, Ontology-driven network service for Internet collaboration
3

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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