Jon Chamberlain
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
Papers in
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- Natural Language Processing Techniques 20
- Topic Modeling 20
- Speech and dialogue systems 17
- Semantic Web and Ontologies 5
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- Mobile Crowdsensing and Crowdsourcing 20
- Co-authors
- Udo Kruschwitz (37 shared papers)Massimo Poesio (34 shared papers)Tony Russell‐Rose (7 shared papers)Dario Stucchi (1 shared paper)Silviu Paun (7 shared papers)Leif Azzopardi (1 shared paper)Livio Robaldo (5 shared papers)Myriam D. Callier (1 shared paper)
- Journals
- Language Resources and Evaluation (3 papers)Aquaculture (2 papers)Transactions of the Association for Computational Linguistics (1 paper)Business Information Review (1 paper)Journal of Wildlife Management (1 paper)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Jon Chamberlain
62 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 113
- Computer Science Applications 212
- Artificial Intelligence 542
- Oceanography 179
- Global and Planetary Change 296
- Aquatic Science 69
Countries citing papers authored by Jon Chamberlain
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
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.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 164 | |
| 2 | 2008 | 106 | |
| 3 | 2013 | 72 | |
| 4 | Phrase Detectives: A Web-based collaborative annotation game | 2008 | 65 |
| 5 | 2018 | 57 | |
| 6 | 2018 | 55 | |
| 7 | 2007 | 55 | |
| 8 | 2019 | 43 | |
| 9 | 2017 | 39 | |
| 10 | 2019 | 34 | |
| 11 | 2013 | 30 | |
| 12 | 2021 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2014 | 20 | |
| 15 | 2009 | 19 | |
| 16 | 2020 | 19 | |
| 17 | 2009 | 18 | |
| 18 | 2008 | 17 | |
| 19 | 2011 | 16 | |
| 20 | 2008 | 15 |
About Jon Chamberlain
Jon Chamberlain is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Computer Vision and Pattern Recognition and Ecology, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (20 papers), Topic Modeling (20 papers), Mobile Crowdsensing and Crowdsourcing (20 papers), Speech and dialogue systems (17 papers), Multimodal Machine Learning Applications (6 papers), Data Visualization and Analytics (5 papers), Semantic Web and Ontologies (5 papers) and Information Retrieval and Search Behavior (5 papers). The work is most often cited by research in Computer Science Applications (212 citations), Artificial Intelligence (542 citations), Oceanography (179 citations), Global and Planetary Change (296 citations) and Aquatic Science (69 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, Leif Azzopardi, Livio Robaldo, Myriam D. Callier, Christopher W. McKindsey and Andréa M. Weise. Their work appears in journals such as Language Resources and Evaluation, Aquaculture, Transactions of the Association for Computational Linguistics, Business Information Review and Journal of Wildlife Management.
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.