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).
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.
Shekhar, Ravi, et al.. (2021). Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection. Queen Mary Research Online (Queen Mary University of London). 30–34.6 indexed citations
Agres, Kat, Stephen J. McGregor, Matthew Purver, & Geraínt A. Wiggins. (2016). Conceptualizing Creativity: From Distributional Semantics to Conceptual Spaces. Queen Mary Research Online (Queen Mary University of London).3 indexed citations
McGregor, Stephen J., Geraínt A. Wiggins, & Matthew Purver. (2014). Computational Creativity: A Philosophical Approach, and an Approach to Philosophy.. ICCC. 254–262.4 indexed citations
11.
Howes, Christine, Patrick G. T. Healey, Matthew Purver, & Arash Eshghi. (2012). Finishing each other’s . . . Responding to incomplete contributions in dialogue. Cognitive Science. 34(34).7 indexed citations
12.
Purver, Matthew, et al.. (2012). Experimenting with Distant Supervision for Emotion Classification. Conference of the European Chapter of the Association for Computational Linguistics. 482–491.129 indexed citations
13.
Howes, Christine, Matthew Purver, Rose McCabe, Patrick G. T. Healey, & Mary Lavelle. (2012). Predicting Adherence to Treatment for Schizophrenia from Dialogue Transcripts. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 79–83.14 indexed citations
14.
Howes, Christine, et al.. (2010). Tracking Lexical and Syntactic Alignment in Conversation. eScholarship (California Digital Library). 32(32).21 indexed citations
Ehlen, Patrick, Matthew Purver, & John Niekrasz. (2007). A Meeting Browser that Learns.. National Conference on Artificial Intelligence. 33–40.7 indexed citations
17.
Niekrasz, John, Matthew Purver, John Dowding, & Stanley Peters. (2005). Ontology-Based Discourse Understanding for a Persistent Meeting Assistant.. National Conference on Artificial Intelligence. 26–33.18 indexed citations
18.
Kempson, Ruth & Matthew Purver. (2004). Incremental Parsing, or Incremental Grammar?. SAS-Space (University of London).4 indexed citations
19.
Kempson, Ruth & Matthew Purver. (2004). Incrementality, Alignment and Shared Utterances. SAS-Space (University of London).7 indexed citations
20.
Purver, Matthew, et al.. (2003). Incremental Generation by Incremental Parsing: Tactical Generation in Dynamic Syntax.10 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.