Countries citing papers authored by Christopher Brewster
Since
Specialization
Citations
This map shows the geographic impact of Christopher Brewster'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 Christopher Brewster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Brewster more than expected).
Fields of papers citing papers by Christopher Brewster
This network shows the impact of papers produced by Christopher Brewster. 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 Christopher Brewster. The network helps show where Christopher Brewster may publish in the future.
Co-authorship network of co-authors of Christopher Brewster
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Brewster.
A scholar is included among the top collaborators of Christopher Brewster 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 Christopher Brewster. Christopher Brewster is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Raaijmakers, Stephan & Christopher Brewster. (2018). Exploiting ontologies for deep learning: A case for sentiment mining. TNO Repository. 2198.2 indexed citations
4.
Brewster, Christopher, et al.. (2013). Legibility, privacy and creativity: linked data in a surveillance society. Aston Publications Explorer (Aston University). 58–69.2 indexed citations
5.
Beneito-Montagut, Roser, et al.. (2013). Governmental social media use for emergency communication. ORCA Online Research @Cardiff (Cardiff University).14 indexed citations
6.
Lanfranchi, Vitaveska, Suvodeep Mazumdar, Eva Blomqvist, & Christopher Brewster. (2013). Roadmapping discussion summary:social media and linked data for emergency response. Aston Publications Explorer (Aston University).1 indexed citations
Mounce, S. R., et al.. (2010). Knowledge management for more sustainable water systems. Journal of Information Technology in Construction. 15(11). 140–148.10 indexed citations
9.
Brewster, Christopher, et al.. (2008). Contemporary issues in HRM: gaining a competitive advantage. 3rd edition. Oxford University Press eBooks.
10.
Wilks, Yorick, David Benyon, Christopher Brewster, Pavel Ircing, & Oli Mival. (2008). Dialogue, speech and images: the companions project data set. Language Resources and Evaluation.4 indexed citations
11.
Zhang, Ziqi, José Iria, Christopher Brewster, & Fabio Ciravegna. (2008). A Comparative Evaluation of Term Recognition Algorithms. Language Resources and Evaluation. 2108–2111.98 indexed citations
12.
Ahmad, Khurshid, Christopher Brewster, & Mark Stevenson. (2007). Words and Intelligence I: Selected Papers by Yorick Wilks (Text, Speech and Language Technology). Springer eBooks.
13.
Alani, Harith, Christopher Brewster, & Nigel Shadbolt. (2006). Ranking Ontologies with AKTiveRank. ePrints Soton (University of Southampton).12 indexed citations
14.
Iria, José, Christopher Brewster, Fabio Ciravegna, & Yorick Wilks. (2006). An incremental tri-partite approach to ontology learning. Language Resources and Evaluation. 197–202.4 indexed citations
15.
Brewster, Christopher, Harith Alani, Srinandan Dasmahapatra, & Yorick Wilks. (2004). Data Driven Ontology Evaluation. Language Resources and Evaluation.208 indexed citations
16.
Brewster, Christopher, Fabio Ciravegna, & Yorick Wilks. (2003). Background and foreground knowledge in dynamic ontology construction. Aston Publications Explorer (Aston University).8 indexed citations
17.
Bontcheva, Kalina, Christopher Brewster, Fabio Ciravegna, et al.. (2001). Using HLT for Acquiring, Retrieving and Publishing Knowledge in AKT. Meeting of the Association for Computational Linguistics.2 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.