Dympna O’Sullivan
- Artificial Intelligence top 5%
- Health Information Management top 1%
- Cognitive Neuroscience top 10%
- General Health Professions top 10%
- Human-Computer Interaction top 5%
- Co-authors
- Simone StumpfAdrian BussoneJo LumsdenLilit HakobyanHannah BartlettWojtek MichalowskiSzymon WilkKen Farion
- Topics
- Electronic Health Records Systems (17 papers)Biomedical Text Mining and Ontologies (13 papers)Semantic Web and Ontologies (9 papers)
- Partner nations
- IrelandUnited KingdomCanada
In The Last Decade
Dympna O’Sullivan
58 papers receiving 958 citations
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 272
- Health Information Management 135
- Cognitive Neuroscience 126
- General Health Professions 109
- Human-Computer Interaction 97
Countries citing papers authored by Dympna O’Sullivan
This map shows the geographic impact of Dympna O’Sullivan'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 Dympna O’Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dympna O’Sullivan more than expected).
Fields of papers citing papers by Dympna O’Sullivan
This network shows the impact of papers produced by Dympna O’Sullivan. 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 Dympna O’Sullivan. The network helps show where Dympna O’Sullivan may publish in the future.
Co-authorship network of co-authors of Dympna O’Sullivan
This figure shows the co-authorship network connecting the top 25 collaborators of Dympna O’Sullivan. A scholar is included among the top collaborators of Dympna O’Sullivan 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 Dympna O’Sullivan. Dympna O’Sullivan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | The Design of a Framework for the Detection of Web-Based Dark Patterns | 2 |
| 7 | 16 | |
| 8 | 16 | |
| 9 | AFGuide System to Support Personalized Management of Atrial Fibrillation | 2 |
| 10 | 2 | |
| 11 | 215 | |
| 12 | Real-world Gyroscope-based Gait Event Detection and Gait Feature Extraction | 27 |
| 13 | 37 | |
| 14 | An Ontology-Driven Information Model for Interoperability of Personal and Electronic Health Records | 8 |
| 15 | 37 | |
| 16 | 168 | |
| 17 | 23 | |
| 18 | 11 | |
| 19 | 16 | |
| 20 | Capturing and reusing case-based context for image retrieval | 1 |
About Dympna O’Sullivan
Dympna O’Sullivan is a scholar working on Health Information Management, Family Practice and Applied Psychology, having authored 62 papers that have together received 988 indexed citations. Recurring topics across this work include Electronic Health Records Systems (17 papers), Biomedical Text Mining and Ontologies (13 papers) and Semantic Web and Ontologies (9 papers). The work is most often cited by research in Health Informatics (76 citations), Health Information Management (135 citations) and Human-Computer Interaction (97 citations). Dympna O’Sullivan has collaborated with scholars based in Ireland, United Kingdom and Canada. Frequent co-authors include Simone Stumpf, Adrian Bussone, Jo Lumsden, Lilit Hakobyan, Hannah Bartlett, Wojtek Michalowski, Szymon Wilk, Ken Farion, Paolo Fraccaro and Peter Weller. Their work appears in journals such as PLoS ONE, Sensors and International Journal of Environmental Research and Public Health.
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.