Kevin McCarthy

46 papers receiving 1.1k citations

Peers

Kevin McCarthy
Comparison fields: 5 of 113
  • Information Systems 607
  • Artificial Intelligence 401
  • Computer Vision and Pattern Recognition 196
  • Sociology and Political Science 159
  • Statistical and Nonlinear Physics 140
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Citations per year

Countries citing papers authored by Kevin McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Kevin McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin McCarthy

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin McCarthy. A scholar is included among the top collaborators of Kevin McCarthy 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 McCarthy. Kevin McCarthy 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 7
2 32
3
Bridging recommendation and adaptation : generic adaptation framework - twittomender compliance study
1
4 17
5
Bridging Recommendation and Adaptation: Generic Adaptation Framework - Twittomender compliance case-study.
2
6 10
7 33
8
The Pursuit of Happiness: Searching for Worthy Followees on Twitter
1
9
CATS: A Synchronous Approach to Collaborative Group Recommendation
77
10
On the evaluation of dynamic critiquing: a large-scale user study
9
11
An Analysis of Critique Diversity in Case-Based Recommendation.
8
12 13
13 69
14
Translocation as a strategy to rehabilitate the queen conch (Strombus gigas) population in the Florida Keys
48
15
Thinking positively - explanatory feedback for conversational recommender systems
21
16 29
17
The Effects of Student Activity Participation, Gender, Ethnicity, and Socio-Economic Level on High School Student Grade Point Averages and Attendance.
20
18 21
19 32
20
Housing Search and Consumption Adjustment,
1

About Kevin McCarthy

Kevin McCarthy is a scholar working on Information Systems, Artificial Intelligence and Nature and Landscape Conservation, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (15 papers), Topic Modeling (5 papers) and Video Analysis and Summarization (5 papers). The work is most often cited by research in Information Systems (607 citations), Artificial Intelligence (401 citations) and Statistical and Nonlinear Physics (140 citations). Kevin McCarthy has collaborated with scholars based in Ireland, United States and Australia. Frequent co-authors include Barry Smyth, Owen Phelan, Lorraine McGinty, J.P. Reilly, María Salamó, Lorcan Coyle, Paddy Nixon, Michael P. O’Mahony, Ruihai Dong and Markus Schaal. Their work appears in journals such as Evolution, International Journal of Production Economics and Journal of Experimental Marine Biology and Ecology.

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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