Gabriele Puppis
- Artificial Intelligence
- Computational Theory and Mathematics
- Computer Networks and Communications
- Molecular Biology
- Signal Processing
- Co-authors
- Angelo MontanariPietro SalaMichael BenediktAnca MuschollCristian RiverosUgo Dal LagoMichał PilipczukTiziano Villa
- Topics
- semigroups and automata theory (14 papers)DNA and Biological Computing (6 papers)Logic, Reasoning, and Knowledge (4 papers)
- Journals
- Theoretical Computer ScienceJournal of Computer and System SciencesLecture notes in computer science
- Partner nations
- FranceItalyUnited Kingdom
In The Last Decade
Gabriele Puppis
15 papers receiving 35 citations
Peers
Comparison fields: 5 of 10
- Artificial Intelligence 28
- Computational Theory and Mathematics 28
- Computer Networks and Communications 12
- Molecular Biology 8
- Signal Processing 5
Countries citing papers authored by Gabriele Puppis
This map shows the geographic impact of Gabriele Puppis'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 Gabriele Puppis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Puppis more than expected).
Fields of papers citing papers by Gabriele Puppis
This network shows the impact of papers produced by Gabriele Puppis. 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 Gabriele Puppis. The network helps show where Gabriele Puppis may publish in the future.
Co-authorship network of co-authors of Gabriele Puppis
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Puppis. A scholar is included among the top collaborators of Gabriele Puppis 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 Gabriele Puppis. Gabriele Puppis 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 | 4 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 4 |
About Gabriele Puppis
Gabriele Puppis is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 19 papers that have together received 39 indexed citations. Recurring topics across this work include semigroups and automata theory (14 papers), DNA and Biological Computing (6 papers) and Logic, Reasoning, and Knowledge (4 papers). The work is most often cited by research in Computational Theory and Mathematics (28 citations), Artificial Intelligence (28 citations) and Software (2 citations). Gabriele Puppis has collaborated with scholars based in France, Italy and United Kingdom. Frequent co-authors include Angelo Montanari, Pietro Sala, Michael Benedikt, Anca Muscholl, Cristian Riveros, Ugo Dal Lago, Michał Pilipczuk, Tiziano Villa, Davide Bresolin and Sylvain Salvati. Their work appears in journals such as Theoretical Computer Science, Journal of Computer and System Sciences 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.