Brian Logan

3.2k total citations
146 papers, 1.5k citations indexed

About

Brian Logan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Brian Logan has authored 146 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Artificial Intelligence, 27 papers in Computational Theory and Mathematics and 25 papers in Management Science and Operations Research. Recurrent topics in Brian Logan's work include Logic, Reasoning, and Knowledge (65 papers), Multi-Agent Systems and Negotiation (63 papers) and Formal Methods in Verification (23 papers). Brian Logan is often cited by papers focused on Logic, Reasoning, and Knowledge (65 papers), Multi-Agent Systems and Negotiation (63 papers) and Formal Methods in Verification (23 papers). Brian Logan collaborates with scholars based in United Kingdom, Netherlands and Australia. Brian Logan's co-authors include Natasha Alechina, Georgios Theodoropoulos, Michael Lees, Mehdi Dastani, Aaron Sloman, Thomas Chesney, Iain Coyne, Lavindra de Silva, Paul Davidsson and Yuan Yao and has published in prestigious journals such as Proceedings of the IEEE, Philosophical Transactions of the Royal Society B Biological Sciences and Communications of the ACM.

In The Last Decade

Brian Logan

134 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Logan United Kingdom 22 722 286 279 232 182 146 1.5k
Nathan Griffiths United Kingdom 16 609 0.8× 247 0.9× 226 0.8× 330 1.4× 62 0.3× 103 1.6k
Charles L. Isbell United States 22 1.4k 1.9× 107 0.4× 142 0.5× 161 0.7× 151 0.8× 105 2.0k
Jeremy Pitt United Kingdom 20 671 0.9× 226 0.8× 269 1.0× 471 2.0× 51 0.3× 201 2.0k
Dave Cliff United Kingdom 21 753 1.0× 367 1.3× 259 0.9× 161 0.7× 110 0.6× 86 1.8k
Frank Dignum Netherlands 23 1.7k 2.3× 382 1.3× 321 1.2× 376 1.6× 102 0.6× 239 2.4k
Jimmy H. M. Lee Hong Kong 14 349 0.5× 236 0.8× 261 0.9× 70 0.3× 63 0.3× 95 1.1k
Talal Rahwan United Kingdom 23 423 0.6× 709 2.5× 308 1.1× 193 0.8× 89 0.5× 93 2.0k
Daniel Kudenko⋆ United Kingdom 21 883 1.2× 197 0.7× 264 0.9× 191 0.8× 163 0.9× 116 1.5k
Avelino J. González United States 20 718 1.0× 136 0.5× 114 0.4× 79 0.3× 63 0.3× 149 1.5k
David V. Pynadath United States 22 1.3k 1.8× 313 1.1× 399 1.4× 220 0.9× 57 0.3× 62 1.9k

Countries citing papers authored by Brian Logan

Since Specialization
Citations

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

Fields of papers citing papers by Brian Logan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Logan

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Logan. A scholar is included among the top collaborators of Brian Logan 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 Brian Logan. Brian Logan 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.
Yao, Yuan, Natasha Alechina, Brian Logan, & John Thangarajah. (2021). Intention Progression using Quantitative Summary Information. Autonomous Agents and Multi-Agent Systems. 1416–1424. 1 indexed citations
2.
Alechina, Natasha, Joseph Y. Halpern, Ian A. Kash, & Brian Logan. (2018). Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems. Journal of Artificial Intelligence Research. 62. 433–458. 2 indexed citations
3.
Logan, Brian, John Thangarajah, & Neil Yorke‐Smith. (2017). Progressing Intention Progression: A Call for a Goal-Plan Tree Contest. Adaptive Agents and Multi-Agents Systems. 768–772. 8 indexed citations
4.
Alechina, Natasha, Joseph Y. Halpern, & Brian Logan. (2017). Causality, Responsibility and Blame in Team Plans. Adaptive Agents and Multi-Agents Systems. 1091–1099. 8 indexed citations
5.
Felli, Paolo, Brian Logan, & Sebastian Sardiña. (2016). Parallel behavior composition for manufacturing. Repository@Nottingham (University of Nottingham). 271–278. 4 indexed citations
6.
Yao, Yuan & Brian Logan. (2016). Action-Level Intention Selection for BDI Agents. Repository@Nottingham (University of Nottingham). 1227–1236. 14 indexed citations
7.
Alechina, Natasha, Brian Logan, Hoang Nga Nguyen, Franco Raimondi, & Leonardo Mostarda. (2015). Symbolic Model-checking for Resource-Bounded ATL. Adaptive Agents and Multi-Agents Systems. 1809–1810. 9 indexed citations
8.
Alechina, Natasha, Mehdi Dastani, & Brian Logan. (2013). Reasoning about normative update. International Joint Conference on Artificial Intelligence. 20–26. 21 indexed citations
9.
Alechina, Natasha, et al.. (2012). Axiom Pinpointing Using an Assumption-Based Truth Maintenance System.. Description Logics.
10.
Alechina, Natasha, Mehdi Dastani, & Brian Logan. (2012). Programming norm-aware agents. Adaptive Agents and Multi-Agents Systems. 1057–1064. 33 indexed citations
11.
Alechina, Natasha, Brian Logan, Mehdi Dastani, & John‐Jules Ch. Meyer. (2008). Reasoning about agent execution strategies. Adaptive Agents and Multi-Agents Systems. 1455–1458. 2 indexed citations
12.
Alechina, Natasha, et al.. (2008). Verifying time, memory and communication bounds in systems of reasoning agents. Adaptive Agents and Multi-Agents Systems. 2. 736–743. 9 indexed citations
13.
Chesney, Thomas, et al.. (2007). A Design for Researching Virtual Worlds - Opportunities and Limitations. Journal of the Association for Information Systems. 1380–1387. 1 indexed citations
14.
Alechina, Natasha, Mark Jago, & Brian Logan. (2006). Modal logics for communicating rule-based agents. European Conference on Artificial Intelligence. 322–326. 12 indexed citations
15.
Alechina, Natasha & Brian Logan. (2005). Verifying Bounds on Deliberation Time in Multi-Agent Systems.. 25–34.
16.
Alechina, Natasha, et al.. (2004). A Complete and Decidable Logic for Resource-Bounded Agents. Adaptive Agents and Multi-Agents Systems. 3. 606–613. 23 indexed citations
17.
Fraser, Mike, et al.. (2004). Reporters, Editors and Presenters: Using Embodied Agents to Report on Online Computer Games. Adaptive Agents and Multi-Agents Systems. 1530–1531. 4 indexed citations
18.
Sloman, Aaron & Brian Logan. (1997). Cognition and Affect: Architectures and Tools. 6 indexed citations
19.
Logan, Brian. (1995). Understanding problem structure as heuristic formation in design. 209–228.
20.
Logan, Brian, David Corne, & Tim Smithers. (1992). The Edinburgh designer system: an architecture for solving ill structured problems. OpenGrey (Institut de l'Information Scientifique et Technique). 282–286. 3 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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