This map shows the geographic impact of Mark T. Keane'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 Mark T. Keane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Keane more than expected).
This network shows the impact of papers produced by Mark T. Keane. 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 Mark T. Keane. The network helps show where Mark T. Keane may publish in the future.
Co-authorship network of co-authors of Mark T. Keane
This figure shows the co-authorship network connecting the top 25 collaborators of Mark T. Keane.
A scholar is included among the top collaborators of Mark T. Keane 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 Mark T. Keane. Mark T. Keane 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.
Cassens, Jörg, et al.. (2021). Explanation in Human Thinking. Proceedings of the Annual Meeting of the Cognitive Science Society. 43(43).1 indexed citations
2.
Kenny, Eoin M., et al.. (2021). Bayesian Case-Exclusion and Explainable AI (XAI) for Sustainable Farming. Arrow@dit (Dublin Institute of Technology).3 indexed citations
3.
Aggarwal, Manish, M. Hanmandlu, Mark T. Keane, & Kanad K. Biswas. (2018). Intuitionistic Fuzzy Logit Model of Discrete Choice. IEEE Transactions on Emerging Topics in Computational Intelligence. 3(1). 85–89.2 indexed citations
4.
Keane, Mark T., et al.. (2016). Helping News Editors Write Better Headlines: A Recommender to Improve the Keyword Contents and Shareability of News Headlines. Arrow@dit (Dublin Institute of Technology).2 indexed citations
5.
Leavy, Susan, et al.. (2016). Mining the Cultural Memory of Irish Industrial Schools Using Word Embedding and Text Classification. Research Repository UCD (University College Dublin).1 indexed citations
Keane, Mark T., Jeffrey Loewenstein, Phil Maguire, et al.. (2014). Triangulating Surprise: Expectations, Uncertainty, and Making Sense. Arrow@dit (Dublin Institute of Technology). 36(36). 70–71.1 indexed citations
8.
Maguire, Phil, et al.. (2013). A Computational Theory of Subjective Probability [Featuring a Proof that the Conjunction Effect is not a Fallacy]. Arrow@dit (Dublin Institute of Technology). 35(35).5 indexed citations
O’Donoghue, Diarmuid & Mark T. Keane. (2012). A Creative Analogy Machine: Results and Challenges. Maynooth University ePrints and eTheses Archive (Maynooth University). 17–24.4 indexed citations
11.
Keane, Mark T., et al.. (2007). An energy-efficient, multi-agent sensor network for detecting diffuse events. International Joint Conference on Artificial Intelligence. 1390–1395.14 indexed citations
12.
Keane, Mark T., et al.. (2005). How Understanding Novel Compounds is Facilitated by Priming from Similar, Known Compounds. eScholarship (California Digital Library). 27(27).5 indexed citations
13.
Church, Karen, Mark T. Keane, & Barry Smyth. (2005). Towards more intelligent mobile search. International Joint Conference on Artificial Intelligence. 1675–1677.5 indexed citations
14.
Keane, Mark T., et al.. (2004). Role swapping in multi-agent sensor webs. European Conference on Artificial Intelligence. 1055–1056.1 indexed citations
15.
Lynott, Dermot & Mark T. Keane. (2004). A Model of Novel Compound Production. eScholarship (California Digital Library). 26(26).
16.
Lynott, Dermot & Mark T. Keane. (2003). The Role of Knowledge Support in Creating Noun-Noun Compounds. Research Explorer (The University of Manchester). 25(25). 746–751.7 indexed citations
17.
Keane, Mark T., et al.. (2001). Similarity Processing Depends on the Similarities Present: Effects of Relational Prominence in Similarity and Analogical Processing. eScholarship (California Digital Library). 23(23).3 indexed citations
18.
Eysenck, Michael W. & Mark T. Keane. (2000). Resources for teaching cognitive psychology : supplementary material for congnitive psychology a student's handbook, 4th edition [by] Michael W. Eysenck, Mark T. Keane. Psychology Press eBooks.4 indexed citations
19.
Veale, Tony & Mark T. Keane. (1992). Conceptual scaffolding: using metaphors to build knowledge structures. European Conference on Artificial Intelligence. 174–178.2 indexed citations
20.
Keane, Mark T.. (1988). Where's the Beef? The Absence of Pragmatic Factors in Pragmatic Theories of Analogy.. European Conference on Artificial Intelligence. 327–332.7 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.