Julia Ive
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Machine Learning in Healthcare
- Sentiment Analysis and Opinion Mining
Papers in
-
- Natural Language Processing Techniques 19
- Machine Learning in Healthcare 12
- Topic Modeling 8
- Sentiment Analysis and Opinion Mining 2
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- Artificial Intelligence in Healthcare and Education 4
- Co-authors
- Lucia Specia (12 shared papers)Sumithra U. Velupillai (7 shared papers)Pranava Madhyastha (4 shared papers)Robert Stewart (3 shared papers)Rina Dutta (1 shared paper)Frédéric Blain (2 shared papers)François Yvon (5 shared papers)Stephen Puntis (1 shared paper)
- Journals
- Language Resources and Evaluation (2 papers)npj Digital Medicine (2 papers)Computational Linguistics (2 papers)Journal of Data and Information Quality (1 paper)Machine Translation (1 paper)
- Partner nations
- United KingdomFranceSweden
In The Last Decade
Julia Ive
39 papers receiving 416 citations
Peers
Comparison fields: 5 of 46
- Health Informatics 36
- Artificial Intelligence 308
- Social Psychology 67
- Computer Vision and Pattern Recognition 71
- Health Information Management 10
Countries citing papers authored by Julia Ive
This map shows the geographic impact of Julia Ive'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 Julia Ive with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Ive more than expected).
Fields of papers citing papers by Julia Ive
This network shows the impact of papers produced by Julia Ive. 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 Julia Ive. The network helps show where Julia Ive may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Ive, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2019 | 59 | |
| 3 | 2020 | 56 | |
| 4 | 2018 | 53 | |
| 5 | Exploring Transformer Text Generation for Medical Dataset Augmentation. | 2020 | 31 |
| 6 | deepQuest: A Framework for Neural-based Quality Estimation | 2018 | 25 |
| 7 | 2020 | 15 | |
| 8 | 2023 | 10 | |
| 9 | Diagnosing High-Quality Statistical Machine Translation Using Traces of Post-Edition Operations | 2016 | 8 |
| 10 | 2021 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2018 | 5 | |
| 15 | A Post-Editing Dataset in the Legal Domain: Do we Underestimate Neural Machine Translation Quality? | 2020 | 5 |
| 16 | 2022 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2015 | 4 | |
| 20 | 2016 | 4 |
About Julia Ive
Julia Ive is a scholar working on Artificial Intelligence, Health Informatics, Social Psychology, Safety Research and Molecular Biology, having authored 42 papers that have together received 438 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Machine Learning in Healthcare (12 papers), Topic Modeling (8 papers), Biomedical Text Mining and Ontologies (6 papers), Mental Health via Writing (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Sentiment Analysis and Opinion Mining (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Health Informatics (36 citations), Artificial Intelligence (308 citations), Social Psychology (67 citations), Computer Vision and Pattern Recognition (71 citations) and Health Information Management (10 citations). Julia Ive has collaborated with scholars based in United Kingdom, France and Sweden. Frequent co-authors include Lucia Specia, Sumithra U. Velupillai, Pranava Madhyastha, Robert Stewart, Rina Dutta, Frédéric Blain, François Yvon, Stephen Puntis, Rudolf N. Cardinal and Angus Roberts. Their work appears in journals such as Language Resources and Evaluation, npj Digital Medicine, Computational Linguistics, Journal of Data and Information Quality and Machine Translation.
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.