Jon Chamberlain

1.7k citations
52 papers · 919 · h-index 16

Impact in

Papers in

Jon Chamberlain

51 papers receiving 844 citations

Peers

Jon Chamberlain
Comparison fields: 5 of 111
  • Computer Science Applications 161
  • Oceanography 173
  • Artificial Intelligence 433
  • Global and Planetary Change 282
  • Aquatic Science 61
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Citations per field
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Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Jon Chamberlain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon Chamberlain Line = papers co-authored together Jon Chamberlain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001157
2 2008100
3 201357
4 200754
5
Phrase Detectives: A Web-based collaborative annotation game
200854
6 201851
7 201939
8 201738
9 201934
10 201831
11 202119
12 201418
13 201116
14
ANAWIKI: Creating Anaphorically Annotated Resources through Web Cooperation.
200815
15 200915
16 195915
17 201814
18 200914
19
Phrase Detectives Corpus 1.0 Crowdsourced Anaphoric Coreference.
201613
20 200813

About Jon Chamberlain

Jon Chamberlain is a scholar working on Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition, Information Systems and Sociology and Political Science, having authored 52 papers that have together received 919 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (17 papers), Topic Modeling (17 papers), Speech and dialogue systems (16 papers), Mobile Crowdsensing and Crowdsourcing (16 papers), Multimodal Machine Learning Applications (5 papers), Information Retrieval and Search Behavior (5 papers), Marine Bivalve and Aquaculture Studies (4 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Computer Science Applications (161 citations), Oceanography (173 citations), Artificial Intelligence (433 citations), Global and Planetary Change (282 citations) and Aquatic Science (61 citations). Jon Chamberlain has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Udo Kruschwitz, Massimo Poesio, Tony Russell‐Rose, Dario Stucchi, Silviu Paun, Christopher W. McKindsey, Andréa M. Weise, Chris J Cromey, Philippe Archambault and Myriam D. Callier. Their work appears in journals such as Language Resources and Evaluation, Aquaculture, ACM Transactions on Interactive Intelligent Systems, Journal of Wildlife Management and Transactions of the Association for Computational Linguistics.

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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