Andrea Sorbi
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 10%
- Geometry and Topology top 5%
- Statistics and Probability top 5%
- Mathematical Physics top 10%
- Co-authors
- С. С. ГончаровS. Barry CooperClaudio BernardiFranco MontagnaS. A. BadaevAndré NiesSteffen LemppSebastiaan A. Terwijn
- Topics
- Computability, Logic, AI Algorithms (75 papers)semigroups and automata theory (42 papers)Advanced Topology and Set Theory (32 papers)
- Journals
- Communications in Nonlinear Science and Numerical SimulationTheoretical Computer ScienceJournal of Computer and System Sciences
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Andrea Sorbi
76 papers receiving 522 citations
Peers
Comparison fields: 5 of 56
- Computational Theory and Mathematics 497
- Artificial Intelligence 192
- Geometry and Topology 173
- Statistics and Probability 101
- Mathematical Physics 54
Countries citing papers authored by Andrea Sorbi
This map shows the geographic impact of Andrea Sorbi'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 Andrea Sorbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Sorbi more than expected).
Fields of papers citing papers by Andrea Sorbi
This network shows the impact of papers produced by Andrea Sorbi. 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 Andrea Sorbi. The network helps show where Andrea Sorbi may publish in the future.
Co-authorship network of co-authors of Andrea Sorbi
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Sorbi. A scholar is included among the top collaborators of Andrea Sorbi 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 Andrea Sorbi. Andrea Sorbi 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 | 1 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 13 | |
| 12 | 34 | |
| 13 | 4 | |
| 14 | 52 | |
| 15 | 3 | |
| 16 | Some remarks on tiling recognizable languages | 0 |
| 17 | 4 | |
| 18 | 5 | |
| 19 | The enumeration degrees of the Sigma_2^0 sets | 0 |
| 20 | 13 |
About Andrea Sorbi
Andrea Sorbi is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Statistics and Probability, having authored 87 papers that have together received 557 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (75 papers), semigroups and automata theory (42 papers) and Advanced Topology and Set Theory (32 papers). The work is most often cited by research in Computational Theory and Mathematics (497 citations), Geometry and Topology (173 citations) and Statistics and Probability (101 citations). Andrea Sorbi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include С. С. Гончаров, S. Barry Cooper, Claudio Bernardi, Franco Montagna, S. A. Badaev, André Nies, Steffen Lempp, Sebastiaan A. Terwijn, Joseph S. Miller and Keng Meng Ng. Their work appears in journals such as Communications in Nonlinear Science and Numerical Simulation, Theoretical Computer Science and Journal of Computer and System Sciences.
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.