Ilaria Chillotti
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Co-authors
- Malika IzabachèneNicolas GamaMariya GeorgievaHao ChenLing RenJean-Philippe BossuatDuhyeong KimTiziana Pisano
- Topics
- Cryptography and Data Security (6 papers)Complexity and Algorithms in Graphs (3 papers)Coding theory and cryptography (3 papers)
- Journals
- American Journal of Medical Genetics Part AInformation and ComputationJournal of Cryptology
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Ilaria Chillotti
7 papers receiving 451 citations
Hit Papers
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 423
- Information Systems 130
- Computational Theory and Mathematics 115
- Computer Vision and Pattern Recognition 63
- Computer Networks and Communications 57
Countries citing papers authored by Ilaria Chillotti
This map shows the geographic impact of Ilaria Chillotti'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 Ilaria Chillotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilaria Chillotti more than expected).
Fields of papers citing papers by Ilaria Chillotti
This network shows the impact of papers produced by Ilaria Chillotti. 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 Ilaria Chillotti. The network helps show where Ilaria Chillotti may publish in the future.
Co-authorship network of co-authors of Ilaria Chillotti
This figure shows the co-authorship network connecting the top 25 collaborators of Ilaria Chillotti. A scholar is included among the top collaborators of Ilaria Chillotti 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 Ilaria Chillotti. Ilaria Chillotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | TFHE: Fast Fully Homomorphic Encryption Over the Torusbreakdown → | 423 |
| 7 | 22 | |
| 8 | 4 |
About Ilaria Chillotti
Ilaria Chillotti is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Signal Processing, having authored 8 papers that have together received 476 indexed citations. Recurring topics across this work include Cryptography and Data Security (6 papers), Complexity and Algorithms in Graphs (3 papers) and Coding theory and cryptography (3 papers). The work is most often cited by research in Artificial Intelligence (423 citations), Computational Theory and Mathematics (115 citations) and Information Systems (130 citations). Ilaria Chillotti has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Malika Izabachène, Nicolas Gama, Mariya Georgieva, Hao Chen, Ling Ren, Jean-Philippe Bossuat, Duhyeong Kim, Tiziana Pisano, Wei Dai and Dario Pruna. Their work appears in journals such as American Journal of Medical Genetics Part A, Information and Computation and Journal of Cryptology.
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.