Laura Nenzi
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Software top 10%
- Molecular Biology
- Co-authors
- Luca BortolussiGuido SanguinettiEzio BartocciMichele LoretiEric MedvetMartín GarrigaChristos TsigkanosCarlo Ghezzi
- Topics
- Japanese History and Culture (8 papers)Formal Methods in Verification (7 papers)Gene Regulatory Network Analysis (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe American Historical ReviewApplied Sciences
- Partner nations
- ItalyAustriaUnited Kingdom
In The Last Decade
Laura Nenzi
18 papers receiving 127 citations
Peers
Comparison fields: 5 of 50
- Computational Theory and Mathematics 49
- Artificial Intelligence 47
- Computer Networks and Communications 29
- Software 25
- Molecular Biology 16
Countries citing papers authored by Laura Nenzi
This map shows the geographic impact of Laura Nenzi'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 Laura Nenzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Nenzi more than expected).
Fields of papers citing papers by Laura Nenzi
This network shows the impact of papers produced by Laura Nenzi. 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 Laura Nenzi. The network helps show where Laura Nenzi may publish in the future.
Co-authorship network of co-authors of Laura Nenzi
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Nenzi. A scholar is included among the top collaborators of Laura Nenzi 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 Laura Nenzi. Laura Nenzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | Specifying and Monitoring Properties of Stochastic Spatio-Temporal Systems in Signal Temporal Logic | 1 |
| 11 | 40 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 18 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | Cultured Travelers and Consumer Tourists in Edo-Period Sagami | 2 |
| 19 | 2 | |
| 20 | Journeys, Pilgrimages, Excursions: Religious Travels in the Early Modern Period | 4 |
About Laura Nenzi
Laura Nenzi is a scholar working on Cultural Studies, Software and History and Philosophy of Science, having authored 25 papers that have together received 142 indexed citations. Recurring topics across this work include Japanese History and Culture (8 papers), Formal Methods in Verification (7 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Software (25 citations), Computational Theory and Mathematics (49 citations) and Cultural Studies (14 citations). Laura Nenzi has collaborated with scholars based in Italy, Austria and United Kingdom. Frequent co-authors include Luca Bortolussi, Guido Sanguinetti, Ezio Bartocci, Michele Loreti, Eric Medvet, Martín Garriga, Christos Tsigkanos, Carlo Ghezzi, Schahram Dustdar and Peter I. Frazier. Their work appears in journals such as SHILAP Revista de lepidopterología, The American Historical Review and Applied 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.