Countries citing papers authored by Jon Chamberlain
Since
Specialization
Citations
This map shows the geographic impact of Jon Chamberlain'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 Jon Chamberlain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Chamberlain more than expected).
This network shows the impact of papers produced by Jon Chamberlain. 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 Jon Chamberlain. The network helps show where Jon Chamberlain may publish in the future.
Co-authorship network of co-authors of Jon Chamberlain
This figure shows the co-authorship network connecting the top 25 collaborators of Jon Chamberlain.
A scholar is included among the top collaborators of Jon Chamberlain 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 Jon Chamberlain. Jon Chamberlain is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Herzog, Stefan M., et al.. (2020). Towards a Framework for Harm Prevention in Web Search. University of Regensburg Publication Server (University of Regensburg). 30–46.4 indexed citations
6.
Chamberlain, Jon, et al.. (2019). Metrics of games-with-a-purpose for NLP applications. Queen Mary Research Online (Queen Mary University of London).4 indexed citations
Bartle, Richard A., et al.. (2019). Wormingo. Queen Mary Research Online (Queen Mary University of London). 1–7.9 indexed citations
10.
Chamberlain, Jon, Udo Kruschwitz, & Orland Hoeber. (2018). Scalable Visualisation of Sentiment and Stance. Language Resources and Evaluation.2 indexed citations
Chamberlain, Jon, Massimo Poesio, & Udo Kruschwitz. (2016). Phrase Detectives Corpus 1.0 Crowdsourced Anaphoric Coreference.. Language Resources and Evaluation. 2039–2046.13 indexed citations
13.
Poesio, Massimo, et al.. (2015). Phrase Detectives: Utilizing Collective Intelligence for Internet-Scale Language Resource Creation (Extended Abstract) ∗. International Joint Conference on Artificial Intelligence. 4202–4206.
14.
Chamberlain, Jon. (2014). User Performance Indicators In Task-Based Data Collection Systems. 31–36.2 indexed citations
15.
Poesio, Massimo, et al.. (2013). Phrase Detectives: Utilizing Collective Intelligence for Internet-Scale Language Resource Creation. University of Regensburg Publication Server (University of Regensburg). 1–4.9 indexed citations
Kelly, Maeve S., Jon Chamberlain, & Christopher M. Pearce. (2010). Recent advances in sea-urchin aquaculture and enhancement in Scotland and Ireland.. 108(1). 23–29.11 indexed citations
18.
Kruschwitz, Udo, Jon Chamberlain, & Massimo Poesio. (2009). (Linguistic) Science Through Web Collaboration in the ANAWIKI Project. Institutional Research Information System (Università degli Studi di Trento).7 indexed citations
19.
Poesio, Massimo, Udo Kruschwitz, & Jon Chamberlain. (2008). ANAWIKI: Creating Anaphorically Annotated Resources through Web Cooperation.. Language Resources and Evaluation.15 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.