Matthew Purver

4.4k citations
126 papers · 1.8k indexed · h-index 22

Matthew Purver

115 papers receiving 1.6k citations

Peers

Matthew Purver
Comparison fields: 5 of 93
  • Artificial Intelligence 1.2k
  • Language and Linguistics 415
  • Experimental and Cognitive Psychology 386
  • Social Psychology 210
  • Cognitive Neuroscience 125
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Citations per year

Countries citing papers authored by Matthew Purver

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Purver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Purver

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Purver. A scholar is included among the top collaborators of Matthew Purver 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 Matthew Purver. Matthew Purver 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
#WorkIndexed citations
1 0
2 0
3 1
4 2
5 4
6
Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection
6
7 2
8
Conceptualizing Creativity: From Distributional Semantics to Conceptual Spaces
3
9 16
10
Computational Creativity: A Philosophical Approach, and an Approach to Philosophy.
4
11
Finishing each other’s . . . Responding to incomplete contributions in dialogue
7
12
Experimenting with Distant Supervision for Emotion Classification
129
13
Predicting Adherence to Treatment for Schizophrenia from Dialogue Transcripts
14
14
Tracking Lexical and Syntactic Alignment in Conversation
21
15 35
16
A Meeting Browser that Learns.
7
17
Ontology-Based Discourse Understanding for a Persistent Meeting Assistant.
18
18
Incremental Parsing, or Incremental Grammar?
4
19
Incrementality, Alignment and Shared Utterances
7
20
Incremental Generation by Incremental Parsing: Tactical Generation in Dynamic Syntax
10

About Matthew Purver

Matthew Purver is a scholar working on Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology, having authored 126 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (51 papers), Natural Language Processing Techniques (51 papers) and Speech and dialogue systems (44 papers). The work is most often cited by research in Language and Linguistics (415 citations), Artificial Intelligence (1.2k citations) and Experimental and Cognitive Psychology (386 citations). Matthew Purver has collaborated with scholars based in United Kingdom, United States and Slovenia. Frequent co-authors include Julian Hough, Jonathan Ginzburg, Christine Howes, Patrick G. T. Healey, Karolina Sylwester, John Niekrasz, Ruth Kempson, Rose McCabe, Ronnie Cann and Thomas L. Griffiths. Their work appears in journals such as PLoS ONE, Frontiers in Psychology and Cognitive Science.

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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