Violetta Lonati
- Computer Science Applications top 2%
- Information Systems top 10%
- Artificial Intelligence
- Developmental and Educational Psychology top 10%
- Software top 10%
- Co-authors
- Mattia MongaMarco ArrigoCrispino TostoGiuseppe ChiazzeseDario MalchiodiMassimiliano GoldwurmCarlo BellettiniCruz Izu
- Topics
- Teaching and Learning Programming (25 papers)semigroups and automata theory (8 papers)Educational Games and Gamification (8 papers)
- Partner nations
- ItalyUnited StatesFinland
In The Last Decade
Violetta Lonati
43 papers receiving 298 citations
Peers
Comparison fields: 5 of 50
- Computer Science Applications 214
- Information Systems 74
- Artificial Intelligence 73
- Developmental and Educational Psychology 73
- Software 49
Countries citing papers authored by Violetta Lonati
This map shows the geographic impact of Violetta Lonati'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 Violetta Lonati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Violetta Lonati more than expected).
Fields of papers citing papers by Violetta Lonati
This network shows the impact of papers produced by Violetta Lonati. 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 Violetta Lonati. The network helps show where Violetta Lonati may publish in the future.
Co-authorship network of co-authors of Violetta Lonati
This figure shows the co-authorship network connecting the top 25 collaborators of Violetta Lonati. A scholar is included among the top collaborators of Violetta Lonati 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 Violetta Lonati. Violetta Lonati 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 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | An Analysis of the Performance of Italian Schools in Bebras and in the National Student Assessment INVALSI | 1 |
| 10 | 5 | |
| 11 | A playful tool to introduce lower secondary school pupils to recursive thinking | 2 |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | Working for a leap in the general perception of computing | 4 |
| 16 | 2 | |
| 17 | 17 | |
| 18 | 5 | |
| 19 | 22 | |
| 20 | 2 |
About Violetta Lonati
Violetta Lonati is a scholar working on Computer Science Applications, Software and Discrete Mathematics and Combinatorics, having authored 45 papers that have together received 318 indexed citations. Recurring topics across this work include Teaching and Learning Programming (25 papers), semigroups and automata theory (8 papers) and Educational Games and Gamification (8 papers). The work is most often cited by research in Computer Science Applications (214 citations), Software (49 citations) and Developmental and Educational Psychology (73 citations). Violetta Lonati has collaborated with scholars based in Italy, United States and Finland. Frequent co-authors include Mattia Monga, Marco Arrigo, Crispino Tosto, Giuseppe Chiazzese, Dario Malchiodi, Massimiliano Goldwurm, Carlo Bellettini, Cruz Izu, Claudio Mirolo and Alberto Bertoni. Their work appears in journals such as SIAM Journal on Computing, Theoretical Computer Science and Information and Computation.
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.