Antonio E. Porreca
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Mechanical Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Luca ManzoniGiancarlo MauriClaudio ZandronAlberto LeporatiAlberto DennunzioEnrico FormentiMario J. Pérez-JímenezSergiu Ivanov
- Topics
- DNA and Biological Computing (34 papers)Advanced biosensing and bioanalysis techniques (24 papers)semigroups and automata theory (13 papers)
In The Last Decade
Antonio E. Porreca
39 papers receiving 372 citations
Peers
Comparison fields: 5 of 45
- Molecular Biology 338
- Computational Theory and Mathematics 196
- Mechanical Engineering 107
- Artificial Intelligence 38
- Electrical and Electronic Engineering 14
Countries citing papers authored by Antonio E. Porreca
This map shows the geographic impact of Antonio E. Porreca'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 Antonio E. Porreca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio E. Porreca more than expected).
Fields of papers citing papers by Antonio E. Porreca
This network shows the impact of papers produced by Antonio E. Porreca. 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 Antonio E. Porreca. The network helps show where Antonio E. Porreca may publish in the future.
Co-authorship network of co-authors of Antonio E. Porreca
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio E. Porreca. A scholar is included among the top collaborators of Antonio E. Porreca 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 Antonio E. Porreca. Antonio E. Porreca 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 | 14 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 12 | |
| 10 | 8 | |
| 11 | On the complexity of occurrence and convergence problems in reaction systems | 1 |
| 12 | 19 | |
| 13 | 26 | |
| 14 | 16 | |
| 15 | P Systems with Active Membranes Working in Logarithmic Space. | 5 |
| 16 | 18 | |
| 17 | Improving Universality Results on Parallel Enzymatic Numerical P Systems | 16 |
| 18 | Unconventional computation and natural computation : 12th International Conference, UCNC 2013, Milan, Italy, July 1-5, 2013, proceedings | 1 |
| 19 | 15 | |
| 20 | 11 |
About Antonio E. Porreca
Antonio E. Porreca is a scholar working on Computational Theory and Mathematics, Molecular Biology and Mechanical Engineering, having authored 41 papers that have together received 390 indexed citations. Recurring topics across this work include DNA and Biological Computing (34 papers), Advanced biosensing and bioanalysis techniques (24 papers) and semigroups and automata theory (13 papers). The work is most often cited by research in Computational Theory and Mathematics (196 citations), Molecular Biology (338 citations) and Mechanical Engineering (107 citations). Antonio E. Porreca has collaborated with scholars based in Italy, France and Moldova. Frequent co-authors include Luca Manzoni, Giancarlo Mauri, Claudio Zandron, Alberto Leporati, Alberto Dennunzio, Enrico Formenti, Mario J. Pérez-Jímenez, Sergiu Ivanov, Artiom Alhazov and Ion Petre. Their work appears in journals such as Information Sciences, 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.