Viola Schiaffonati
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Biomedical Engineering
- Cognitive Neuroscience
- General Health Professions
- Co-authors
- Stefano CanaliAndréa AlivertiFrancesco AmigoniMonica ReggianiEdoardo DatteriMario VerdicchioPedro U. LimaGerhard K. Kraetzschmar
- Topics
- Ethics and Social Impacts of AI (8 papers)Computability, Logic, AI Algorithms (8 papers)Philosophy and History of Science (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputerPattern Recognition Letters
In The Last Decade
Viola Schiaffonati
40 papers receiving 370 citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 63
- Artificial Intelligence 63
- Biomedical Engineering 44
- Cognitive Neuroscience 43
- General Health Professions 40
Countries citing papers authored by Viola Schiaffonati
This map shows the geographic impact of Viola Schiaffonati'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 Viola Schiaffonati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viola Schiaffonati more than expected).
Fields of papers citing papers by Viola Schiaffonati
This network shows the impact of papers produced by Viola Schiaffonati. 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 Viola Schiaffonati. The network helps show where Viola Schiaffonati may publish in the future.
Co-authorship network of co-authors of Viola Schiaffonati
This figure shows the co-authorship network connecting the top 25 collaborators of Viola Schiaffonati. A scholar is included among the top collaborators of Viola Schiaffonati 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 Viola Schiaffonati. Viola Schiaffonati 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 | 6 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 134 | |
| 7 | 14 | |
| 8 | Computer, robot ed esperimenti | 1 |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 10 | |
| 12 | 6 | |
| 13 | 2 | |
| 14 | The role and relevance of experimentation in informatics | 4 |
| 15 | 29 | |
| 16 | 6 | |
| 17 | From Philosophy of Science to Philosophy of Engineering: The Case of AI | 1 |
| 18 | 4 | |
| 19 | 1 | |
| 20 | Using Artificial Intelligence for Supporting Museum Organization | 0 |
About Viola Schiaffonati
Viola Schiaffonati is a scholar working on History and Philosophy of Science, Health Informatics and Safety Research, having authored 43 papers that have together received 395 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (8 papers), Computability, Logic, AI Algorithms (8 papers) and Philosophy and History of Science (7 papers). The work is most often cited by research in Health Informatics (14 citations), Safety Research (39 citations) and Information Systems and Management (31 citations). Viola Schiaffonati has collaborated with scholars based in Italy, Portugal and Germany. Frequent co-authors include Stefano Canali, Andréa Aliverti, Francesco Amigoni, Monica Reggiani, Edoardo Datteri, Mario Verdicchio, Pedro U. Lima, Gerhard K. Kraetzschmar, Daniele Chiffi and Daniele Nardi. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer and Pattern Recognition Letters.
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.