Olivia Di Matteo
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Computational Theory and Mathematics
- Spectroscopy
- Co-authors
- L. L. Sánchez-SotoHubert de GuiseR. M. WoloshynPeter GysbersT. MiyagiP. NavrátilP. C. SrivastavaIlias Kotsireas
- Topics
- Quantum Computing Algorithms and Architecture (11 papers)Quantum Information and Cryptography (8 papers)Neural Networks and Reservoir Computing (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Physics Condensed MatterPhysical review. A
In The Last Decade
Olivia Di Matteo
14 papers receiving 138 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 110
- Atomic and Molecular Physics, and Optics 65
- Electrical and Electronic Engineering 29
- Computational Theory and Mathematics 12
- Spectroscopy 11
Countries citing papers authored by Olivia Di Matteo
This map shows the geographic impact of Olivia Di Matteo'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 Olivia Di Matteo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivia Di Matteo more than expected).
Fields of papers citing papers by Olivia Di Matteo
This network shows the impact of papers produced by Olivia Di Matteo. 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 Olivia Di Matteo. The network helps show where Olivia Di Matteo may publish in the future.
Co-authorship network of co-authors of Olivia Di Matteo
This figure shows the co-authorship network connecting the top 25 collaborators of Olivia Di Matteo. A scholar is included among the top collaborators of Olivia Di Matteo 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 Olivia Di Matteo. Olivia Di Matteo 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 46 | |
| 11 | 5 | |
| 12 | 37 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 4 |
About Olivia Di Matteo
Olivia Di Matteo is a scholar working on Artificial Intelligence, Algebra and Number Theory and Computer Science Applications, having authored 15 papers that have together received 144 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (11 papers), Quantum Information and Cryptography (8 papers) and Neural Networks and Reservoir Computing (2 papers). The work is most often cited by research in Artificial Intelligence (110 citations), Atomic and Molecular Physics, and Optics (65 citations) and Computational Mathematics (1 citation). Olivia Di Matteo has collaborated with scholars based in Canada, Germany and Spain. Frequent co-authors include L. L. Sánchez-Soto, Hubert de Guise, R. M. Woloshyn, Peter Gysbers, T. Miyagi, P. Navrátil, P. C. Srivastava, Ilias Kotsireas, Tor M. Aamodt and Dragomir Ž. Ðoković. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Physics Condensed Matter and Physical review. A.
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.