John Thangarajah

2.0k total citations
79 papers, 1.1k citations indexed

About

John Thangarajah is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, John Thangarajah has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in John Thangarajah's work include Multi-Agent Systems and Negotiation (52 papers), Logic, Reasoning, and Knowledge (30 papers) and AI-based Problem Solving and Planning (19 papers). John Thangarajah is often cited by papers focused on Multi-Agent Systems and Negotiation (52 papers), Logic, Reasoning, and Knowledge (30 papers) and AI-based Problem Solving and Planning (19 papers). John Thangarajah collaborates with scholars based in Australia, United States and United Kingdom. John Thangarajah's co-authors include Lin Padgham, Michael Winikoff, James Harland, Stacy Marsella, Karl Tuyls, Catholijn M. Jonker, Neil Yorke‐Smith, David Morley, Tim Miller and Simon Duff and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Software Engineering and Computers & Structures.

In The Last Decade

John Thangarajah

77 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Thangarajah Australia 17 802 162 132 112 100 79 1.1k
H. Penny Nii United States 10 435 0.5× 134 0.8× 116 0.9× 66 0.6× 78 0.8× 17 812
Giovanni Guida Italy 18 728 0.9× 76 0.5× 202 1.5× 69 0.6× 45 0.5× 92 1.2k
Héctor Muñoz‐Avila United States 19 1.1k 1.3× 173 1.1× 215 1.6× 48 0.4× 60 0.6× 72 1.2k
Anand S. Rao Australia 7 1.1k 1.4× 320 2.0× 230 1.7× 159 1.4× 129 1.3× 9 1.4k
Viviana Mascardi Italy 15 627 0.8× 160 1.0× 211 1.6× 84 0.8× 58 0.6× 101 829
Marie-Pierre Gleizes France 11 421 0.5× 233 1.4× 155 1.2× 105 0.9× 87 0.9× 37 750
Walter Van de Velde Belgium 11 508 0.6× 102 0.6× 204 1.5× 117 1.0× 48 0.5× 42 753
Grzegorz J. Nalepa Poland 15 387 0.5× 122 0.8× 253 1.9× 168 1.5× 25 0.3× 119 769
Kutluhan Erol United States 13 947 1.2× 292 1.8× 158 1.2× 81 0.7× 35 0.3× 19 1.2k
Jomi Fred Hübner Brazil 14 837 1.0× 257 1.6× 179 1.4× 230 2.1× 160 1.6× 84 1.1k

Countries citing papers authored by John Thangarajah

Since Specialization
Citations

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

Fields of papers citing papers by John Thangarajah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Thangarajah

This figure shows the co-authorship network connecting the top 25 collaborators of John Thangarajah. A scholar is included among the top collaborators of John Thangarajah 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 John Thangarajah. John Thangarajah 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.
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
3.
Zambetta, Fabio, et al.. (2017). Integrating Skills and Simulation to Solve Complex Navigation Tasks in Infinite Mario. IEEE Transactions on Games. 10(1). 101–106. 5 indexed citations
4.
Thangarajah, John, et al.. (2015). Agent Oriented Modelling of Tactical Decision Making. Adaptive Agents and Multi-Agents Systems. 2. 1051–1060. 4 indexed citations
5.
Thangarajah, John, James Harland, & Neil Yorke‐Smith. (2015). Estimating the Progress of Maintenance Goals. Adaptive Agents and Multi-Agents Systems. 1645–1646. 3 indexed citations
6.
Abushark, Yoosef B., John Thangarajah, Tim Miller, James Harland, & Michael Winikoff. (2015). Early Detection of Design Faults Relative to Requirement Specifications in Agent-Based Models. Adaptive Agents and Multi-Agents Systems. 1071–1079. 7 indexed citations
7.
Abushark, Yoosef B., John Thangarajah, Tim Miller, & James Harland. (2014). Checking consistency of agent designs against interaction protocols for early-phase defect location. Adaptive Agents and Multi-Agents Systems. 933–940. 8 indexed citations
8.
Thangarajah, John, et al.. (2014). Tactics Development Framework. Adaptive Agents and Multi-Agents Systems. 2. 2 indexed citations
9.
Thangarajah, John, James Harland, David Morley, & Neil Yorke‐Smith. (2014). Towards quantifying the completeness of BDI goals. Adaptive Agents and Multi-Agents Systems. 1369–1370. 5 indexed citations
10.
Thangarajah, John, et al.. (2014). Reasoning with agent preferences in normative multi-agent systems. Adaptive Agents and Multi-Agents Systems. 1373–1374. 2 indexed citations
11.
Thangarajah, John, et al.. (2014). Tactics development framework (demonstration). Adaptive Agents and Multi-Agents Systems. 1639–1640. 2 indexed citations
12.
Abushark, Yoosef B. & John Thangarajah. (2013). AUML protocols: from specification to detailed design. Adaptive Agents and Multi-Agents Systems. 1173–1174. 1 indexed citations
13.
Thangarajah, John, et al.. (2013). A BDI game master agent for computer role-playing games. Adaptive Agents and Multi-Agents Systems. 1187–1188. 2 indexed citations
14.
Thangarajah, John, Sebastian Sardiña, & Lin Padgham. (2012). Measuring plan coverage and overlap for agent reasoning. Adaptive Agents and Multi-Agents Systems. 1049–1056. 11 indexed citations
15.
Wong, Wilson, Lawrence Cavedon, John Thangarajah, & Lin Padgham. (2012). Strategies for Mixed-Initiative Conversation Management using Question-Answer Pairs. RMIT Research Repository (RMIT University Library). 2821–2834. 8 indexed citations
16.
Wong, Wilson, John Thangarajah, & Lin Padgham. (2011). Health conversational system based on contextual matching of community-driven question-answer pairs. RMIT Research Repository (RMIT University Library). 2577–2580. 9 indexed citations
17.
Padgham, Lin, John Thangarajah, & Michael Winikoff. (2008). Prometheus design tool. RMIT Research Repository (RMIT University Library). 1882–1883. 23 indexed citations
18.
Thangarajah, John, James Harland, David Morley, & Neil Yorke‐Smith. (2008). Suspending and resuming tasks in BDI agents. Adaptive Agents and Multi-Agents Systems. 405–412. 14 indexed citations
19.
Padgham, Lin, John Thangarajah, & Michael Winikoff. (2006). Tool Support for Agent Development using the Prometheus Methodology. RMIT Research Repository (RMIT University Library). 383–388. 36 indexed citations
20.
Winikoff, Michael, Lin Padgham, James Harland, & John Thangarajah. (2002). Declarative and procedural goals in intelligent agent systems. RMIT Research Repository (RMIT University Library). 470–481. 109 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by H. Penny Nii Breakdown of academic impact, for papers by Giovanni Guida Breakdown of academic impact, for papers by Héctor Muñoz‐Avila Breakdown of academic impact, for papers by Anand S. Rao Breakdown of academic impact, for papers by Viviana Mascardi Breakdown of academic impact, for papers by Marie-Pierre Gleizes Breakdown of academic impact, for papers by Walter Van de Velde Breakdown of academic impact, for papers by Grzegorz J. Nalepa Breakdown of academic impact, for papers by Kutluhan Erol Breakdown of academic impact, for papers by Jomi Fred Hübner
Rankless by CCL
2026