Peter Bruza

5.0k total citations · 1 hit paper
147 papers, 2.5k citations indexed

About

Peter Bruza is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Peter Bruza has authored 147 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Artificial Intelligence, 38 papers in Information Systems and 16 papers in Molecular Biology. Recurrent topics in Peter Bruza's work include Topic Modeling (40 papers), Semantic Web and Ontologies (36 papers) and Information Retrieval and Search Behavior (27 papers). Peter Bruza is often cited by papers focused on Topic Modeling (40 papers), Semantic Web and Ontologies (36 papers) and Information Retrieval and Search Behavior (27 papers). Peter Bruza collaborates with scholars based in Australia, United Kingdom and Hong Kong. Peter Bruza's co-authors include Jerome R. Busemeyer, Dawei Song, Simon Dennis, Catarina Moreira, Bevan Koopman, Kirsty Kitto, Raymond Y.K. Lau, Guido Zuccon, Laurianne Sitbon and Chun Ouyang and has published in prestigious journals such as Trends in Cognitive Sciences, Cognitive Psychology and Frontiers in Psychology.

In The Last Decade

Peter Bruza

138 papers receiving 2.3k citations

Hit Papers

Quantum Models of Cognition and Decision 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Bruza Australia 25 1.6k 677 375 230 205 147 2.5k
Cristian S. Calude New Zealand 24 1.1k 0.7× 139 0.2× 339 0.9× 416 1.8× 115 0.6× 192 2.7k
Srijan Kumar United States 20 889 0.6× 667 1.0× 121 0.3× 104 0.5× 434 2.1× 72 1.9k
Jie Yang Netherlands 19 1.0k 0.7× 711 1.1× 105 0.3× 35 0.2× 125 0.6× 134 1.8k
Dov M. Gabbay United Kingdom 38 5.1k 3.3× 335 0.5× 75 0.2× 135 0.6× 51 0.2× 289 6.2k
Yuchen Li China 22 679 0.4× 280 0.4× 76 0.2× 108 0.5× 753 3.7× 137 1.9k
Michael Lesk United States 21 2.1k 1.3× 1.0k 1.5× 151 0.4× 187 0.8× 32 0.2× 102 3.4k
Yun Liu China 23 655 0.4× 508 0.8× 144 0.4× 36 0.2× 691 3.4× 165 2.0k
Henry E. Kyburg United States 30 2.1k 1.3× 118 0.2× 99 0.3× 124 0.5× 108 0.5× 125 5.0k
Peter Grünwald Netherlands 21 923 0.6× 87 0.1× 48 0.1× 166 0.7× 143 0.7× 98 1.8k
Wei Lu Singapore 33 3.9k 2.5× 589 0.9× 40 0.1× 580 2.5× 952 4.6× 127 4.9k

Countries citing papers authored by Peter Bruza

Since Specialization
Citations

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

Fields of papers citing papers by Peter Bruza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Bruza

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Bruza. A scholar is included among the top collaborators of Peter Bruza 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 Peter Bruza. Peter Bruza 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.
Tiwari, Prayag, et al.. (2022). Kernel method based on non-linear coherent states in quantum feature space. Journal of Physics A Mathematical and Theoretical. 55(35). 355301–355301. 17 indexed citations
2.
Moreira, Catarina, Prayag Tiwari, Hari Mohan Pandey, Peter Bruza, & Andreas Wichert. (2020). Quantum-like influence diagrams for decision-making. Neural Networks. 132. 190–210. 25 indexed citations
3.
Koopman, Bevan, Guido Zuccon, Peter Bruza, Laurianne Sitbon, & Michael Lawley. (2016). Information retrieval as semantic inference: A graph inference model applied to medical search. QUT ePrints (Queensland University of Technology). 1 indexed citations
4.
Symonds, Michael, Peter Bruza, & Laurianne Sitbon. (2014). The efficiency of corpus-based distributional models for literature-based discovery on large data sets. Science & Engineering Faculty. 49–57. 3 indexed citations
5.
Blutner, Reinhard, Emmanuel M. Pothos, & Peter Bruza. (2013). A Quantum Probability Perspective on Borderline Vagueness. Topics in Cognitive Science. 5(4). 711–736. 34 indexed citations
6.
Bruza, Peter, Guido Zuccon, & Laurianne Sitbon. (2013). Modelling the information seeking user by the decisions they make. QUT ePrints (Queensland University of Technology). 2 indexed citations
7.
Koopman, Bevan, et al.. (2012). Exploiting SNOMED CT Concepts & Relationships for Clinical Information Retrieval: Australian e-Health Research Centre and Queensland University of Technology at the TREC 2012 Medical Track. Text REtrieval Conference. 7 indexed citations
8.
Symonds, Michael, Guido Zuccon, Bevan Koopman, Peter Bruza, & Anthony Nguyen. (2012). Semantic Judgement of Medical Concepts: Combining Syntagmatic and Paradigmatic Information with the Tensor Encoding Model. QUT ePrints (Queensland University of Technology). 15–22. 6 indexed citations
9.
Symonds, Michael, Peter Bruza, Laurianne Sitbon, & Ian Turner. (2011). Modelling Word Meaning using Efficient Tensor Representations. QUT ePrints (Queensland University of Technology). 313–322. 10 indexed citations
10.
Koopman, Bevan, Peter Bruza, Laurianne Sitbon, & Michael Lawley. (2011). AEHRC & QUT at TREC 2011 Medical Track: a concept-based information retrieval approach. Text REtrieval Conference. 9 indexed citations
11.
Wang, Jun, Dawei Song, Peng Zhang, Yuexian Hou, & Peter Bruza. (2010). Explanation of Relevance Judgement Discrepancy with Quantum Interference. QUT ePrints (Queensland University of Technology). 1 indexed citations
12.
Bruza, Peter, et al.. (2010). Semantic Oscillations: Encoding Context and Structure in Complex Valued Holographic Vectors. National Conference on Artificial Intelligence. 705(1-2). 247–52. 11 indexed citations
13.
Kitto, Kirsty & Peter Bruza. (2010). Meaning in context. 1 indexed citations
14.
Kitto, Kirsty, et al.. (2010). Testing for the non-separability of bi-ambiguous compounds. QUT ePrints (Queensland University of Technology). 62–69.
15.
Bruza, Peter, Azhar Iqbal, & Kirsty Kitto. (2010). The role of non-factorizability in determining "pseudo-classical" non-separability. QUT ePrints (Queensland University of Technology). 2 indexed citations
16.
Song, Dawei, Mounia Lalmas, C. J. van Rijsbergen, et al.. (2010). How quantum theory is developing the field of Information Retrieval. Open Research Online (The Open University). 105–108. 8 indexed citations
17.
Bruza, Peter, William F. Lawless, Keith van Rijsbergen, Donald Sofge, & Bob Coecke. (2008). Quantum Interaction: Proceedings of the Second Quantum Interaction Symposium - Qi-2008. 6 indexed citations
18.
Song, Dawei, Qiang Huang, Stefan Rüger, & Peter Bruza. (2008). Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows. 334–345. 4 indexed citations
19.
Barros, Alistair, Marlon Dumas, & Peter Bruza. (2005). The Move to Web Service Ecosystems. QUT ePrints (Queensland University of Technology). 18 indexed citations
20.
Bruza, Peter, et al.. (2001). Informal Inference via Information Flow. 237–241. 1 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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