Anna Currey
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Speech Recognition and Synthesis
- Semantic Web and Ontologies
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- Multimodal Machine Learning Applications
- Handwritten Text Recognition Techniques
Papers in
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- Natural Language Processing Techniques 13
- Topic Modeling 11
- Text Readability and Simplification 3
- Speech Recognition and Synthesis 1
- Speech and dialogue systems 1
- Semantic Web and Ontologies 1
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- Multimodal Machine Learning Applications 5
- Co-authors
- Kenneth Heafield (6 shared papers)Antonio Valerio Miceli Barone (2 shared papers)Ulrich Germann (1 shared paper)Barry Haddow (1 shared paper)Alexandra Birch (1 shared paper)Philip Williams (1 shared paper)Rico Sennrich (1 shared paper)Georgiana Dinu (5 shared papers)
- Journals
- University of Groningen research database (University of Groningen / Centre for Information Technology) (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)Edinburgh Research Explorer (University of Edinburgh) (4 papers)Edinburgh Research Explorer (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Anna Currey
12 papers receiving 267 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 295
- Computer Vision and Pattern Recognition 134
- Language and Linguistics 10
- Health Informatics 1
- Human-Computer Interaction 2
Countries citing papers authored by Anna Currey
This map shows the geographic impact of Anna Currey'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 Anna Currey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Currey more than expected).
Fields of papers citing papers by Anna Currey
This network shows the impact of papers produced by Anna Currey. 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 Anna Currey. The network helps show where Anna Currey may publish in the future.
Co-authors
The 22 scholars most cited alongside Anna Currey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 97 | |
| 2 | 2017 | 89 | |
| 3 | 2019 | 36 | |
| 4 | 2022 | 15 | |
| 5 | 2018 | 14 | |
| 6 | 2022 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2016 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2025 | 0 | |
| 14 | 2024 | 0 |
About Anna Currey
Anna Currey is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Infectious Diseases, Organic Chemistry and Surgery, having authored 14 papers that have together received 304 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers), Multimodal Machine Learning Applications (5 papers), Text Readability and Simplification (3 papers), Speech Recognition and Synthesis (1 paper), Speech and dialogue systems (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Artificial Intelligence (295 citations), Computer Vision and Pattern Recognition (134 citations), Language and Linguistics (10 citations), Health Informatics (1 citation) and Human-Computer Interaction (2 citations). Anna Currey has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Kenneth Heafield, Antonio Valerio Miceli Barone, Ulrich Germann, Barry Haddow, Alexandra Birch, Philip Williams, Rico Sennrich, Georgiana Dinu, Prashant Mathur and Maria Nădejde. Their work appears in journals such as University of Groningen research database (University of Groningen / Centre for Information Technology), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Edinburgh Research Explorer (University of Edinburgh) and Edinburgh Research Explorer.
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.