Paola Daniore
- Health Informatics top 0.5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- General Health Professions
- Co-authors
- Kerstin Noëlle VokingerUrs J. MuehlematterVasileios NittasViktor von WylThomas GrischottThomas RosemannChangWon C. LeeAriadna Tibau
- Topics
- Mobile Health and mHealth Applications (5 papers)Privacy, Security, and Data Protection (4 papers)Digital Mental Health Interventions (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of OncologyJournal of Medical Internet Research
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Paola Daniore
19 papers receiving 554 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Health Informatics 227
- Artificial Intelligence 146
- Radiology, Nuclear Medicine and Imaging 141
- Biomedical Engineering 72
- General Health Professions 69
Countries citing papers authored by Paola Daniore
This map shows the geographic impact of Paola Daniore'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 Paola Daniore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Daniore more than expected).
Fields of papers citing papers by Paola Daniore
This network shows the impact of papers produced by Paola Daniore. 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 Paola Daniore. The network helps show where Paola Daniore may publish in the future.
Co-authorship network of co-authors of Paola Daniore
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Daniore. A scholar is included among the top collaborators of Paola Daniore 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 Paola Daniore. Paola Daniore 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 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 25 | |
| 10 | 1 | |
| 11 | 31 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 26 | |
| 16 | 5 | |
| 17 | 18 | |
| 18 | Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysisbreakdown → | 373 |
| 19 | 49 | |
| 20 | 1 |
About Paola Daniore
Paola Daniore is a scholar working on Health Informatics, Applied Psychology and Health Information Management, having authored 20 papers that have together received 570 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (5 papers), Privacy, Security, and Data Protection (4 papers) and Digital Mental Health Interventions (4 papers). The work is most often cited by research in Health Informatics (227 citations), Medical Laboratory Technology (19 citations) and Health Information Management (51 citations). Paola Daniore has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Kerstin Noëlle Vokinger, Urs J. Muehlematter, Vasileios Nittas, Viktor von Wyl, Thomas Grischott, Thomas Rosemann, ChangWon C. Lee, Ariadna Tibau, Aaron S. Kesselheim and Thomas J. Hwang. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Oncology and Journal of Medical Internet Research.
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.