Silvia Bernardini
- Artificial Intelligence top 1%
- Language and Linguistics top 0.5%
- Molecular Biology
- Neurology top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Marco BaroniAdriano FerraresiEros ZanchettaUbaldo BonuccelliClaudio LucettiPaolo Del DottoAnna TetiDominic Stewart
- Topics
- Natural Language Processing Techniques (21 papers)Translation Studies and Practices (19 papers)linguistics and terminology studies (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Cell BiologyHepatology
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Silvia Bernardini
70 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 1.2k
- Language and Linguistics 585
- Molecular Biology 569
- Neurology 433
- Cognitive Neuroscience 227
Countries citing papers authored by Silvia Bernardini
This map shows the geographic impact of Silvia Bernardini'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 Silvia Bernardini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Bernardini more than expected).
Fields of papers citing papers by Silvia Bernardini
This network shows the impact of papers produced by Silvia Bernardini. 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 Silvia Bernardini. The network helps show where Silvia Bernardini may publish in the future.
Co-authorship network of co-authors of Silvia Bernardini
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Bernardini. A scholar is included among the top collaborators of Silvia Bernardini 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 Silvia Bernardini. Silvia Bernardini 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 | 0 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 13 | |
| 6 | BootCaT: Bootstrapping corpora and terms from the web | 174 |
| 7 | Introducing the La Repubblica Corpus: A Large, Annotated, TEI(XML)-compliant Corpus of Newspaper Italian | 87 |
| 8 | 12 | |
| 9 | 80 | |
| 10 | 35 | |
| 11 | 68 | |
| 12 | 34 | |
| 13 | 18 | |
| 14 | 120 | |
| 15 | I corpora nella didattica della traduzione : atti del seminario di studi internazionale, Bertinoro 14-15 novembre 1997 | 1 |
| 16 | Competence, capacity, corpora : a study in corpus-aided language learning | 13 |
| 17 | 79 | |
| 18 | 36 | |
| 19 | 28 | |
| 20 | 14 |
About Silvia Bernardini
Silvia Bernardini is a scholar working on Language and Linguistics, Artificial Intelligence and Neurology, having authored 74 papers that have together received 3.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Translation Studies and Practices (19 papers) and linguistics and terminology studies (11 papers). The work is most often cited by research in Language and Linguistics (585 citations), Artificial Intelligence (1.2k citations) and Neurology (433 citations). Silvia Bernardini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Marco Baroni, Adriano Ferraresi, Eros Zanchetta, Ubaldo Bonuccelli, Claudio Lucetti, Paolo Del Dotto, Anna Teti, Dominic Stewart, Gianna Gambaccini and Silvia Migliaccio. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and Hepatology.
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.