Francesca Tomasi
- Artificial Intelligence
- Literature and Literary Theory top 10%
- Information Systems
- Conservation top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Fabio VitaliSilvio PeroniAldo GangemiMarieke van ErpAnnalisa CappellaDaniele GibelliMatteo PozziClaudia Dolci
- Topics
- Semantic Web and Ontologies (28 papers)Digital Humanities and Scholarship (18 papers)Library Science and Information Systems (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsJournal of Documentation
- Partner nations
- ItalyNetherlandsIndia
In The Last Decade
Francesca Tomasi
35 papers receiving 125 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 74
- Literature and Literary Theory 37
- Information Systems 35
- Conservation 26
- Computer Vision and Pattern Recognition 19
Countries citing papers authored by Francesca Tomasi
This map shows the geographic impact of Francesca Tomasi'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 Francesca Tomasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Tomasi more than expected).
Fields of papers citing papers by Francesca Tomasi
This network shows the impact of papers produced by Francesca Tomasi. 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 Francesca Tomasi. The network helps show where Francesca Tomasi may publish in the future.
Co-authorship network of co-authors of Francesca Tomasi
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Tomasi. A scholar is included among the top collaborators of Francesca Tomasi 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 Francesca Tomasi. Francesca Tomasi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | An OWL 2 Formal Ontology for the Text Encoding Initiative | 0 |
| 12 | 0 | |
| 13 | Filologia digitale. Fra teoria, metodologia e tecnica | 0 |
| 14 | 1 | |
| 15 | 4 | |
| 16 | Digital editions as a new model of conceptual authority data | 2 |
| 17 | 1 | |
| 18 | L’edizione digitale e la rappresentazione della conoscenza. Un esempio: Vespasiano da Bisticci e le sue lettere | 3 |
| 19 | L'umanista digitale | 2 |
| 20 | Metodologie informatiche e discipline umanistiche | 8 |
About Francesca Tomasi
Francesca Tomasi is a scholar working on General Arts and Humanities, Literature and Literary Theory and Space and Planetary Science, having authored 51 papers that have together received 140 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (28 papers), Digital Humanities and Scholarship (18 papers) and Library Science and Information Systems (7 papers). The work is most often cited by research in Conservation (26 citations), Space and Planetary Science (5 citations) and Literature and Literary Theory (37 citations). Francesca Tomasi has collaborated with scholars based in Italy, Netherlands and India. Frequent co-authors include Fabio Vitali, Silvio Peroni, Aldo Gangemi, Marieke van Erp, Annalisa Cappella, Daniele Gibelli, Matteo Pozzi, Claudia Dolci, Mario Lauria and Chiarella Sforza. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Documentation.
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.