Paula Buttery
- Artificial Intelligence top 5%
- Food Science top 10%
- Developmental and Educational Psychology top 10%
- Molecular Biology
- Language and Linguistics top 5%
- Co-authors
- Andrew CainesJohn A. HawkinsChristian BentzDouwe KielaAlice HutchingsAnnemarie VerkerkFelix HillSergio Pastrana
- Topics
- Natural Language Processing Techniques (33 papers)Topic Modeling (22 papers)Speech and dialogue systems (12 papers)
- Partner nations
- United KingdomSouth SudanUnited States
In The Last Decade
Paula Buttery
46 papers receiving 543 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 246
- Food Science 102
- Developmental and Educational Psychology 80
- Molecular Biology 69
- Language and Linguistics 60
Countries citing papers authored by Paula Buttery
This map shows the geographic impact of Paula Buttery'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 Paula Buttery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Buttery more than expected).
Fields of papers citing papers by Paula Buttery
This network shows the impact of papers produced by Paula Buttery. 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 Paula Buttery. The network helps show where Paula Buttery may publish in the future.
Co-authorship network of co-authors of Paula Buttery
This figure shows the co-authorship network connecting the top 25 collaborators of Paula Buttery. A scholar is included among the top collaborators of Paula Buttery 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 Paula Buttery. Paula Buttery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | REPROLANG 2020: Automatic Proficiency Scoring of Czech, English, German, Italian, and Spanish Learner Essays | 5 |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 24 | |
| 12 | Crowdsourcing a Multi-lingual Speech Corpus: Recording, Transcription and Annotation of the CrowdIS Corpora | 2 |
| 13 | Automated speech-unit delimitation in spoken learner English | 4 |
| 14 | Predicting Author Age from Weibo Microblog Posts. | 6 |
| 15 | 3 | |
| 16 | 19 | |
| 17 | 50 | |
| 18 | 28 | |
| 19 | The role of verb subcategorization frames and selectional preferences in sentence processing: an investigation using corpus-derived measures. | 0 |
| 20 | The Cambridge Cookie-Theft Corpus: A Corpus of Directed and Spontaneous Speech of Brain-Damaged Patients and Healthy Individuals | 8 |
About Paula Buttery
Paula Buttery is a scholar working on Artificial Intelligence, Cultural Studies and Language and Linguistics, having authored 51 papers that have together received 576 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (33 papers), Topic Modeling (22 papers) and Speech and dialogue systems (12 papers). The work is most often cited by research in Artificial Intelligence (246 citations), Cultural Studies (59 citations) and Developmental and Educational Psychology (80 citations). Paula Buttery has collaborated with scholars based in United Kingdom, South Sudan and United States. Frequent co-authors include Andrew Caines, John A. Hawkins, Christian Bentz, Douwe Kiela, Alice Hutchings, Annemarie Verkerk, Felix Hill, Sergio Pastrana, Ted Briscoe and Andreas Vlachos. Their work appears in journals such as PLoS ONE, ACM Computing Surveys and Meat Science.
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.