Michael P. O’Mahony

2.4k total citations
52 papers, 1.3k citations indexed

About

Michael P. O’Mahony is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Michael P. O’Mahony has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Information Systems, 21 papers in Artificial Intelligence and 11 papers in Computer Science Applications. Recurrent topics in Michael P. O’Mahony's work include Recommender Systems and Techniques (28 papers), Expert finding and Q&A systems (11 papers) and Sentiment Analysis and Opinion Mining (8 papers). Michael P. O’Mahony is often cited by papers focused on Recommender Systems and Techniques (28 papers), Expert finding and Q&A systems (11 papers) and Sentiment Analysis and Opinion Mining (8 papers). Michael P. O’Mahony collaborates with scholars based in Ireland. Michael P. O’Mahony's co-authors include Barry Smyth, Neil Hurley, G.C.M. Silvestre, Nicholas Kushmerick, Markus Schaal, Ruihai Dong, Kevin McCarthy, Kenneth Bryan, Pádraig Cunningham and Kevin McNally and has published in prestigious journals such as Expert Systems with Applications, International Journal of Food Microbiology and Journal of General Virology.

In The Last Decade

Michael P. O’Mahony

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael P. O’Mahony Ireland 19 855 636 258 197 170 52 1.3k
Francisco García‐Sánchez Spain 19 663 0.8× 694 1.1× 111 0.4× 179 0.9× 135 0.8× 51 1.2k
Dhruv Gupta Germany 8 765 0.9× 404 0.6× 115 0.4× 171 0.9× 178 1.0× 27 1.1k
Bee-Chung Chen United States 22 1.0k 1.2× 1.0k 1.6× 252 1.0× 243 1.2× 460 2.7× 40 1.8k
Jon Herlocker United States 7 1.1k 1.3× 382 0.6× 209 0.8× 216 1.1× 178 1.0× 11 1.3k
Roberto Turrin Italy 14 1.2k 1.4× 604 0.9× 122 0.5× 223 1.1× 377 2.2× 29 1.4k
Mark D. Smucker Canada 18 958 1.1× 915 1.4× 179 0.7× 79 0.4× 187 1.1× 70 1.6k
Marco Cristo Brazil 18 588 0.7× 517 0.8× 99 0.4× 80 0.4× 73 0.4× 57 1.1k
Hyea Kyeong Kim South Korea 8 573 0.7× 232 0.4× 168 0.7× 94 0.5× 83 0.5× 16 813
Leandro Balby Marinho Brazil 15 794 0.9× 490 0.8× 90 0.3× 177 0.9× 88 0.5× 51 1.1k
Milad Shokouhi United Kingdom 22 895 1.0× 740 1.2× 98 0.4× 226 1.1× 179 1.1× 72 1.5k

Countries citing papers authored by Michael P. O’Mahony

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. O’Mahony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. O’Mahony. 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 Michael P. O’Mahony. The network helps show where Michael P. O’Mahony may publish in the future.

Co-authorship network of co-authors of Michael P. O’Mahony

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. O’Mahony. A scholar is included among the top collaborators of Michael P. O’Mahony 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 Michael P. O’Mahony. Michael P. O’Mahony 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
1.
Jerbi, Houssem, et al.. (2017). Towards the Recommendation of Personalised Activity Sequences in the Tourism Domain. Arrow@dit (Dublin Institute of Technology). 26–30. 6 indexed citations
2.
O’Mahony, Michael P., et al.. (2016). Emerging Capitalism in Central Europe and Southeast Asia: A Comparison of Political Economies. Southeast Asian Economies. 33(1). 116–117. 2 indexed citations
3.
Jerbi, Houssem, et al.. (2015). Evaluating the Relative Performance of Collaborative Filtering Recommender Systems.. JUCS - Journal of Universal Computer Science. 21. 1849–1868. 5 indexed citations
4.
Dorronsoro, Gilles, et al.. (2013). Mobilisations As a Result of Deliberation and Polarising Crisis. 63(5). 815–839. 1 indexed citations
5.
O’Mahony, Michael P., et al.. (2013). CatStream. 25–36. 10 indexed citations
6.
O’Mahony, Michael P., et al.. (2013). Ranking in information streams. 99–100. 2 indexed citations
7.
Dong, Ruihai, Kevin McCarthy, Michael P. O’Mahony, Markus Schaal, & Barry Smyth. (2012). Towards an intelligent reviewer's assistant. Research Repository UCD (University College Dublin). 8 indexed citations
8.
Brabazon, Dermot, et al.. (2012). CONTENT ON DEMAND FOR FOURTH YEAR ADVANCED MATERIALS AND MANUFACTURING STUDENTS. Arrow@dit (Dublin Institute of Technology). 1 indexed citations
9.
O’Mahony, Michael P., et al.. (2011). A multi-criteria evaluation of a user generated content based recommender system. Conference on Recommender Systems. 14 indexed citations
10.
McNally, Kevin, Michael P. O’Mahony, & Barry Smyth. (2011). Evaluating user reputation in collaborative web search. Research Repository UCD (University College Dublin). 2 indexed citations
11.
McNally, Kevin, Michael P. O’Mahony, Maurice Coyle, Peter Briggs, & Barry Smyth. (2011). A Case Study of Collaboration and Reputation in Social Web Search. ACM Transactions on Intelligent Systems and Technology. 3(1). 1–29. 28 indexed citations
12.
O’Mahony, Michael P. & Barry Smyth. (2010). A classification-based review recommender. Arrow@dit (Dublin Institute of Technology). 6 indexed citations
13.
O’Mahony, Michael P. & Barry Smyth. (2010). The Readability of Helpful Product Reviews. Research Repository UCD (University College Dublin). 1 indexed citations
14.
O’Mahony, Michael P., et al.. (2010). Towards tagging and categorization for micro-blogs. National Conference on Artificial Intelligence. 11 indexed citations
15.
McNally, Kevin, Michael P. O’Mahony, Barry Smyth, Maurice Coyle, & Peter Briggs. (2010). Collaboration and Reputation in Social Web Search. Arrow@dit (Dublin Institute of Technology). 4 indexed citations
16.
O’Mahony, Michael P. & Barry Smyth. (2009). Learning to recommend helpful hotel reviews. Research Repository UCD (University College Dublin). 305–308. 83 indexed citations
17.
O’Mahony, Michael P. & Barry Smyth. (2009). A classification-based review recommender. Knowledge-Based Systems. 23(4). 323–329. 81 indexed citations
18.
O’Mahony, Michael P., Neil Hurley, & G.C.M. Silvestre. (2005). Recommender systems: attack types and strategies. National Conference on Artificial Intelligence. 334–339. 60 indexed citations
19.
O’Mahony, Michael P., Neil Hurley, & G.C.M. Silvestre. (2004). Efficient and secure collaborative filtering through intelligent neighbour selection. European Conference on Artificial Intelligence. 383–387. 8 indexed citations
20.
O’Mahony, Michael P., Neil Hurley, Nicholas Kushmerick, & G.C.M. Silvestre. (2004). Collaborative recommendation. ACM Transactions on Internet Technology. 4(4). 344–377. 228 indexed citations

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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