Honoria Ocagli
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Artificial Intelligence
- Physiology
- Public Health, Environmental and Occupational Health
- Co-authors
- Darío GregoriGiulia LorenzoniCorrado LaneraLucia StivanelloCristina CanovaDaniele BottigliengoDanila AzzolinaSabino Iliceto
- Topics
- Viral Infections and Immunology Research (4 papers)Machine Learning in Healthcare (3 papers)Emergency and Acute Care Studies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaNutrientsInternational Journal of Environmental Research and Public Health
In The Last Decade
Honoria Ocagli
34 papers receiving 253 citations
Peers
Comparison fields: 5 of 95
- Cardiology and Cardiovascular Medicine 56
- Epidemiology 49
- Artificial Intelligence 41
- Physiology 38
- Public Health, Environmental and Occupational Health 31
Countries citing papers authored by Honoria Ocagli
This map shows the geographic impact of Honoria Ocagli'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 Honoria Ocagli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Honoria Ocagli more than expected).
Fields of papers citing papers by Honoria Ocagli
This network shows the impact of papers produced by Honoria Ocagli. 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 Honoria Ocagli. The network helps show where Honoria Ocagli may publish in the future.
Co-authorship network of co-authors of Honoria Ocagli
This figure shows the co-authorship network connecting the top 25 collaborators of Honoria Ocagli. A scholar is included among the top collaborators of Honoria Ocagli 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 Honoria Ocagli. Honoria Ocagli 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 | 7 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 42 | |
| 18 | 4 | |
| 19 | 17 | |
| 20 | 9 |
About Honoria Ocagli
Honoria Ocagli is a scholar working on Health Informatics, Issues, ethics and legal aspects and Anesthesiology and Pain Medicine, having authored 37 papers that have together received 260 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (4 papers), Machine Learning in Healthcare (3 papers) and Emergency and Acute Care Studies (3 papers). The work is most often cited by research in Health Informatics (26 citations), Geriatrics and Gerontology (19 citations) and Health Information Management (20 citations). Honoria Ocagli has collaborated with scholars based in Italy, Türkiye and India. Frequent co-authors include Darío Gregori, Giulia Lorenzoni, Corrado Lanera, Lucia Stivanello, Cristina Canova, Daniele Bottigliengo, Danila Azzolina, Sabino Iliceto, Clara Minto and Paola De Paolis. Their work appears in journals such as SHILAP Revista de lepidopterología, Nutrients 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.