H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 35 Citations 5,326 164 World Ranking 5851 National Ranking 166

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Epistemology

Peter Bruza focuses on Information retrieval, Artificial intelligence, Cognitive science, Quantum cognition and Relevance. His research in Information retrieval intersects with topics in Axiom and Propositional calculus. His Artificial intelligence research is multidisciplinary, relying on both Aboutness, Information model and Natural language processing.

His Cognitive science research is multidisciplinary, incorporating perspectives in Quantum, Kochen–Specker theorem, Quantum entanglement and Word Association. His Quantum cognition research integrates issues from Basis, Context, Interpretation, Probabilistic logic and Quantum probability. His work carried out in the field of Relevance brings together such families of science as Hypermedia, User interface, Hypertext and Information processor.

His most cited work include:

  • Quantum Models of Cognition and Decision (565 citations)
  • Quantum Models of Cognition and Decision: Frontmatter (321 citations)
  • Query expansion using term relationships in language models for information retrieval (167 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Artificial intelligence, Information retrieval, Natural language processing, Quantum and Quantum cognition. His Artificial intelligence study integrates concerns from other disciplines, such as Context and Machine learning. His Information retrieval study frequently links to other fields, such as Term.

The study incorporates disciplines such as Similarity and Syntagmatic analysis in addition to Natural language processing. His work in Quantum addresses subjects such as Theoretical computer science, which are connected to disciplines such as Structure. His studies examine the connections between Quantum cognition and genetics, as well as such issues in Cognitive science, with regards to Quantum logic.

He most often published in these fields:

  • Artificial intelligence (35.25%)
  • Information retrieval (28.06%)
  • Natural language processing (15.47%)

What were the highlights of his more recent work (between 2013-2021)?

  • Artificial intelligence (35.25%)
  • Probabilistic logic (10.07%)
  • Information retrieval (28.06%)

In recent papers he was focusing on the following fields of study:

Peter Bruza focuses on Artificial intelligence, Probabilistic logic, Information retrieval, Quantum cognition and Quantum. His research integrates issues of Machine learning, Set and Natural language processing in his study of Artificial intelligence. His Probabilistic logic research incorporates elements of Semantics, Theoretical computer science, Bayesian network and Bayesian inference.

His research on Information retrieval focuses in particular on Relevance. His Quantum cognition study combines topics in areas such as Information processing, Cognitive science, Quantum probability, Kochen–Specker theorem and Axiom. His Cognitive science study deals with Information science intersecting with Context.

Between 2013 and 2021, his most popular works were:

  • Medical Semantic Similarity with a Neural Language Model (114 citations)
  • Quantum cognition: a new theoretical approach to psychology (99 citations)
  • Integrating and Evaluating Neural Word Embeddings in Information Retrieval (82 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Epistemology

Peter Bruza spends much of his time researching Information retrieval, Artificial intelligence, Quantum cognition, Probabilistic logic and Data science. The concepts of his Information retrieval study are interwoven with issues in Language model, Graph and Information needs. His Artificial intelligence research includes themes of Pattern recognition and Natural language processing.

Peter Bruza has researched Quantum cognition in several fields, including Mathematical economics, Decision model, Cognitive model, Quantum probability and Bayes' theorem. Peter Bruza combines subjects such as Cognitive science, Complementarity and Bayesian probability with his study of Quantum probability. His research in Probabilistic logic intersects with topics in Relational database, Bayesian network, Semantics and Theoretical computer science.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Quantum Models of Cognition and Decision

Jerome R. Busemeyer;Peter D. Bruza.
(2012)

1018 Citations

Quantum Models of Cognition and Decision: Frontmatter

Jerome R. Busemeyer;Peter D. Bruza.
(2012)

494 Citations

Query expansion using term relationships in language models for information retrieval

Jing Bai;Dawei Song;Peter Bruza;Jian-Yun Nie.
conference on information and knowledge management (2005)

243 Citations

Is there something quantum-like about the human mental lexicon?

Peter Bruza;Kirsty Kitto;Douglas Nelson;Cathy McEvoy.
Journal of Mathematical Psychology (2009)

224 Citations

Quantum cognition: a new theoretical approach to psychology

Peter D. Bruza;Zheng Wang;Jerome R. Busemeyer.
Trends in Cognitive Sciences (2015)

187 Citations

Query ReFormulation on the internet: empirical data and the hyperindex search engine

P. D. Bruza;S. Dennis.
RIAO '97 Computer-Assisted Information Searching on Internet (1997)

153 Citations

Medical Semantic Similarity with a Neural Language Model

Lance De Vine;Guido Zuccon;Bevan Koopman;Laurianne Sitbon.
conference on information and knowledge management (2014)

150 Citations

Stratified hypermedia structures for information disclosure

P. D. Bruza;T. P. van der Weide.
The Computer Journal (1992)

137 Citations

Interactive Internet search: keyword, directory and query reformulation mechanisms compared

Peter Bruza;Robert McArthur;Simon Dennis.
international acm sigir conference on research and development in information retrieval (2000)

130 Citations

Integrating and Evaluating Neural Word Embeddings in Information Retrieval

Guido Zuccon;Bevan Koopman;Peter Bruza;Leif Azzopardi.
australasian document computing symposium (2015)

129 Citations

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