Countries citing papers authored by Colm O’Riordan
Since
Specialization
Citations
This map shows the geographic impact of Colm O’Riordan'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 Colm O’Riordan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colm O’Riordan more than expected).
This network shows the impact of papers produced by Colm O’Riordan. 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 Colm O’Riordan. The network helps show where Colm O’Riordan may publish in the future.
Co-authorship network of co-authors of Colm O’Riordan
This figure shows the co-authorship network connecting the top 25 collaborators of Colm O’Riordan.
A scholar is included among the top collaborators of Colm O’Riordan 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 Colm O’Riordan. Colm O’Riordan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Qureshi, M. Atif, et al.. (2014). CIRGIRGDISCO at RepLab2014 Reputation Dimension Task: Using Wikipedia Graph Structure for Classifying the Reputation Dimension of a Tweet.. CLEF (Working Notes). 1512–1518.
4.
O’Riordan, Colm, et al.. (2014). An Investigation into the Correlation between Willingness for Web Search Personalization and SNS Usage Patterns.. BOA (University of Milano-Bicocca). 1127. 80–84.1 indexed citations
5.
Qureshi, M. Atif, Colm O’Riordan, & Gabriella Pasi. (2014). Exploiting wikipedia to identify domain-specific key terms/phrases from a short-text collection. BOA (University of Milano-Bicocca). 1127. 63–74.2 indexed citations
6.
Qureshi, M. Atif, et al.. (2014). YummyKarachi: Using Real-Time Tweets for Restaurant Recommendations in an Unsafe Location. Arrow - TU Dublin (Technological University Dublin).1 indexed citations
7.
Qureshi, M. Atif, Colm O’Riordan, & Gabriella Pasi. (2012). Concept Term Expansion Approach for Monitoring Reputation of Companies on Twitter. BOA (University of Milano-Bicocca).3 indexed citations
8.
O’Riordan, Colm, et al.. (2012). CIRGDISCO at RepLab2012 Filtering Task: A Two-Pass Approach for Company Name Disambiguation in Tweets. BOA (University of Milano-Bicocca). 1178.2 indexed citations
Fallon, U, Andrew W. Murphy, Colm O’Riordan, et al.. (2007). Primary care utilisation rates in pre-school children.. PubMed. 100(8). suppl 23–7.14 indexed citations
14.
Howley, Enda & Colm O’Riordan. (2007). Agent Interactions and Implicit Trust in IPD Environments.. Adaptive Agents and Multi-Agents Systems. 87–101.
15.
O’Riordan, Colm, et al.. (2007). Evolutionary and lifetime learning in varying NK fitness landscape changing environments: an analysis of both fitness and diversity. National Conference on Artificial Intelligence. 706–711.1 indexed citations
16.
Cummins, Ronan & Colm O’Riordan. (2006). Term-Weighting in Information Retrieval using Genetic Programming: A three stage process. European Conference on Artificial Intelligence. 793–794.4 indexed citations
17.
O’Riordan, Colm, et al.. (2003). Using Problem Generators to Analyze the Relationship between Epistasis and Inversion in GAs.. International Conference on Artificial Intelligence. 643–649.1 indexed citations
18.
O’Riordan, Colm. (2000). A forgiving strategy for the Iterated Prisoner's Dilemma .. Journal of Artificial Societies and Social Simulation. 3(4). 1–3.15 indexed citations
19.
O’Riordan, Colm, et al.. (2000). A multi-agent system for intelligent online education. 10(3). 263–274.5 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.