Jon Chamberlain

33 papers and 592 indexed citations i.

About

Jon Chamberlain is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jon Chamberlain has authored 33 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 8 papers in Computer Science Applications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jon Chamberlain’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (9 papers). Jon Chamberlain is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (9 papers). Jon Chamberlain collaborates with scholars based in United Kingdom, Italy and Canada. Jon Chamberlain's co-authors include Massimo Poesio, Udo Kruschwitz, Ian Davies, Paul Read, Teresa F. Fernandes, Tony Russell‐Rose, Thom Nickell, Dario Stucchi, Chris J Cromey and Philippe Archambault and has published in prestigious journals such as Aquaculture, IEEE Access and Journal of Wildlife Management.

In The Last Decade

Co-authorship network of co-authors of Jon Chamberlain i

Fields of papers citing papers by Jon Chamberlain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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).

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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2025