Evangelia Kyrimi
- Artificial Intelligence
- Surgery
- Emergency Medicine
- Public Health, Environmental and Occupational Health
- Nephrology
- Co-authors
- William MarshNorman FentonScott McLachlanKudakwashe DubeNigel TaiMartin NeilJared M. WohlgemutZane Perkins
- Topics
- Electronic Health Records Systems (7 papers)Bayesian Modeling and Causal Inference (6 papers)Machine Learning in Healthcare (5 papers)
- Journals
- International Journal of Medical InformaticsJournal of Biomedical InformaticsArtificial Intelligence in Medicine
- Partner nations
- United KingdomNew ZealandAustralia
In The Last Decade
Evangelia Kyrimi
21 papers receiving 194 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 43
- Surgery 39
- Emergency Medicine 29
- Public Health, Environmental and Occupational Health 27
- Nephrology 26
Countries citing papers authored by Evangelia Kyrimi
This map shows the geographic impact of Evangelia Kyrimi'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 Evangelia Kyrimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evangelia Kyrimi more than expected).
Fields of papers citing papers by Evangelia Kyrimi
This network shows the impact of papers produced by Evangelia Kyrimi. 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 Evangelia Kyrimi. The network helps show where Evangelia Kyrimi may publish in the future.
Co-authorship network of co-authors of Evangelia Kyrimi
This figure shows the co-authorship network connecting the top 25 collaborators of Evangelia Kyrimi. A scholar is included among the top collaborators of Evangelia Kyrimi 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 Evangelia Kyrimi. Evangelia Kyrimi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 19 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 28 | |
| 12 | 17 | |
| 13 | 22 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 7 | |
| 17 | 8 | |
| 18 | 26 | |
| 19 | 13 | |
| 20 | A Progressive Explanation of Inference in 'Hybrid' Bayesian Networks for Supporting Clinical Decision Making | 4 |
About Evangelia Kyrimi
Evangelia Kyrimi is a scholar working on Health Information Management, Health Informatics and Critical Care and Intensive Care Medicine, having authored 23 papers that have together received 198 indexed citations. Recurring topics across this work include Electronic Health Records Systems (7 papers), Bayesian Modeling and Causal Inference (6 papers) and Machine Learning in Healthcare (5 papers). The work is most often cited by research in Health Informatics (15 citations), Health Information Management (21 citations) and Critical Care and Intensive Care Medicine (21 citations). Evangelia Kyrimi has collaborated with scholars based in United Kingdom, New Zealand and Australia. Frequent co-authors include William Marsh, Norman Fenton, Scott McLachlan, Kudakwashe Dube, Nigel Tai, Martin Neil, Jared M. Wohlgemut, Zane Perkins, G. A. Hitman and H. Ishii. Their work appears in journals such as International Journal of Medical Informatics, Journal of Biomedical Informatics and Artificial Intelligence in Medicine.
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.