Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Argumentation in artificial intelligence
2007415 citationsTrevor Bench‐Capon, Paul E. Dunneprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Paul E. Dunne'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 Paul E. Dunne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul E. Dunne more than expected).
This network shows the impact of papers produced by Paul E. Dunne. 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 Paul E. Dunne. The network helps show where Paul E. Dunne may publish in the future.
Co-authorship network of co-authors of Paul E. Dunne
This figure shows the co-authorship network connecting the top 25 collaborators of Paul E. Dunne.
A scholar is included among the top collaborators of Paul E. Dunne 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 Paul E. Dunne. Paul E. Dunne is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dunne, Paul E., et al.. (2016). Investigating the relationship between argumentation semantics via signatures. International Joint Conference on Artificial Intelligence. 1051–1057.5 indexed citations
3.
Dunne, Paul E., et al.. (2014). Characteristics of multiple viewpoints in abstract argumentation. Principles of Knowledge Representation and Reasoning. 72–81.7 indexed citations
4.
Dunne, Paul E. & Michael Wooldridge. (2012). Towards tractable Boolean games. Adaptive Agents and Multi-Agents Systems. 939–946.9 indexed citations
Dvořák, Wolfgang, Paul E. Dunne, & Stefan Woltran. (2011). Parametric properties of ideal semantics. International Joint Conference on Artificial Intelligence. 851–856.7 indexed citations
7.
Wyner, Adam, Trevor Bench‐Capon, & Paul E. Dunne. (2009). Instantiating Knowledge Bases in Abstract Argumentation Frameworks. National Conference on Artificial Intelligence.4 indexed citations
8.
Baroni, Pietro, Paul E. Dunne, & Massimiliano Giacomin. (2009). Computational properties of resolution-based grounded semantics. Institutional Research Information System (Università degli Studi di Brescia). 683–689.3 indexed citations
9.
Dunne, Paul E., Anthony Hunter, Peter McBurney, Simon Parsons, & Michael Wooldridge. (2009). Inconsistency tolerance in weighted argument systems. Lincoln Repository (University of Lincoln). 851–858.32 indexed citations
10.
Dunne, Paul E.. (2008). The Computational Complexity of Ideal Semantics I: Abstract Argumentation Frameworks. 533. 147–158.13 indexed citations
11.
Dunne, Paul E., Wiebe van der Hoek, Sarit Kraus, & Michael Wooldridge. (2008). Cooperative Boolean games. Adaptive Agents and Multi-Agents Systems. 1015–1022.51 indexed citations
12.
Bench‐Capon, Trevor, et al.. (2008). A Methodology for Action-Selection using Value-Based Argumentation. 264–275.5 indexed citations
13.
Wooldridge, Michael, Thomas Ågotnes, Paul E. Dunne, & Wiebe van der Hoek. (2007). Logic for automated mechanism design: a progress report. National Conference on Artificial Intelligence. 9–16.16 indexed citations
Wooldridge, Michael, Paul E. Dunne, & Simon Parsons. (2006). On the complexity of linking deductive and abstract argument systems. National Conference on Artificial Intelligence. 299–304.12 indexed citations
16.
Chevaleyre, Yann, Paul E. Dunne, Ulle Endriss, et al.. (2005). ISSUES IN MULTI AGENT RESOURCE ALLOCATION. UvA-DARE (University of Amsterdam). 30(1). 3–31.282 indexed citations
17.
Dunne, Paul E.. (2004). Context Dependence in multiagent resource allocation. European Conference on Artificial Intelligence. 1001–1002.
18.
Dunne, Paul E., Michael R. Laurence, & Michael Wooldridge. (2004). Tractability results for automatic contracting. European Conference on Artificial Intelligence. 1003–1004.4 indexed citations
19.
Bench‐Capon, Trevor & Paul E. Dunne. (1989). Some computational properties of a model for electronic documents. 2(4). 231–256.5 indexed citations
20.
Dunne, Paul E.. (1985). Lower bounds on the complexity of 1-time only branching programs. Warwick Research Archive Portal (University of Warwick). 90–99.14 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.