Dora Giammarresi
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Antonio RestivoMarcella AnselmoMaria MadoniaDerick WoodSebastian SeibertWolfgang ThomasJürgen AlbertGiuseppe F. Italiano
- Topics
- DNA and Biological Computing (17 papers)semigroups and automata theory (16 papers)Algorithms and Data Compression (12 papers)
- Journals
- Proceedings of the VLDB EndowmentTheoretical Computer ScienceLecture notes in computer science
- Partner nations
- ItalyGermanySouth Korea
In The Last Decade
Dora Giammarresi
25 papers receiving 261 citations
Peers
Comparison fields: 5 of 27
- Computational Theory and Mathematics 206
- Molecular Biology 197
- Artificial Intelligence 177
- Computer Vision and Pattern Recognition 27
- Computer Networks and Communications 25
Countries citing papers authored by Dora Giammarresi
This map shows the geographic impact of Dora Giammarresi'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 Dora Giammarresi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dora Giammarresi more than expected).
Fields of papers citing papers by Dora Giammarresi
This network shows the impact of papers produced by Dora Giammarresi. 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 Dora Giammarresi. The network helps show where Dora Giammarresi may publish in the future.
Co-authorship network of co-authors of Dora Giammarresi
This figure shows the co-authorship network connecting the top 25 collaborators of Dora Giammarresi. A scholar is included among the top collaborators of Dora Giammarresi 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 Dora Giammarresi. Dora Giammarresi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | Formal Languages and Automata: Models, Methods and Application. In Honour of the 70th Birthday of Antonio Restivo Preface | 1 |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | Matrix-based complexity functions and recognizable picture languages. | 7 |
| 9 | 19 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 21 | |
| 13 | Extended Context-free Grammars and Normal Form Algorithms | 1 |
| 14 | 10 | |
| 15 | 5 | |
| 16 | 38 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 9 | |
| 20 | 74 |
About Dora Giammarresi
Dora Giammarresi is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 27 papers that have together received 290 indexed citations. Recurring topics across this work include DNA and Biological Computing (17 papers), semigroups and automata theory (16 papers) and Algorithms and Data Compression (12 papers). The work is most often cited by research in Computational Theory and Mathematics (206 citations), Artificial Intelligence (177 citations) and Computational Mathematics (2 citations). Dora Giammarresi has collaborated with scholars based in Italy, Germany and South Korea. Frequent co-authors include Antonio Restivo, Marcella Anselmo, Maria Madonia, Derick Wood, Sebastian Seibert, Wolfgang Thomas, Jürgen Albert, Giuseppe F. Italiano, Kunsoo Park and Sung Gwan Park. Their work appears in journals such as Proceedings of the VLDB Endowment, Theoretical Computer Science and Lecture notes in computer science.
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.