Sabrina Mantaci
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Co-authors
- Antonio RestivoMarinella SciortinoGiovanna RosoneJuhani KarhumäkiDora GiammarresiFilippo MignosiLuca Versari
- Topics
- Algorithms and Data Compression (17 papers)semigroups and automata theory (13 papers)DNA and Biological Computing (6 papers)
In The Last Decade
Sabrina Mantaci
21 papers receiving 216 citations
Peers
Comparison fields: 5 of 23
- Artificial Intelligence 183
- Computational Theory and Mathematics 111
- Molecular Biology 103
- Hardware and Architecture 20
- Computer Vision and Pattern Recognition 11
Countries citing papers authored by Sabrina Mantaci
This map shows the geographic impact of Sabrina Mantaci'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 Sabrina Mantaci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabrina Mantaci more than expected).
Fields of papers citing papers by Sabrina Mantaci
This network shows the impact of papers produced by Sabrina Mantaci. 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 Sabrina Mantaci. The network helps show where Sabrina Mantaci may publish in the future.
Co-authorship network of co-authors of Sabrina Mantaci
This figure shows the co-authorship network connecting the top 25 collaborators of Sabrina Mantaci. A scholar is included among the top collaborators of Sabrina Mantaci 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 Sabrina Mantaci. Sabrina Mantaci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | String attractors and combinatorics on words | 0 |
| 2 | 2 | |
| 3 | Formal Languages and Automata: Models, Methods and Application. In Honour of the 70th Birthday of Antonio Restivo Preface | 1 |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 8 | |
| 8 | Sorting suffixes of a text via its Lyndon factorization | 2 |
| 9 | 1 | |
| 10 | 28 | |
| 11 | 57 | |
| 12 | 20 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | Indecomposable prefix codes and prime trees. | 4 |
| 19 | Tree Codes and Equations. | 1 |
| 20 | 2 |
About Sabrina Mantaci
Sabrina Mantaci is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 23 papers that have together received 222 indexed citations. Recurring topics across this work include Algorithms and Data Compression (17 papers), semigroups and automata theory (13 papers) and DNA and Biological Computing (6 papers). The work is most often cited by research in Computational Theory and Mathematics (111 citations), Artificial Intelligence (183 citations) and Hardware and Architecture (20 citations). Sabrina Mantaci has collaborated with scholars based in Italy, Finland and France. Frequent co-authors include Antonio Restivo, Marinella Sciortino, Giovanna Rosone, Juhani Karhumäki, Dora Giammarresi, Filippo Mignosi and Luca Versari. Their work appears in journals such as Theoretical Computer Science, International Journal of Approximate Reasoning and Information Processing Letters.
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.