Luca Ferrari
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Geophysics top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Giacomo CabriLetizia LeonardiP.V. SankarMartín Valencia-MorenoScott E. BryanFrancesco MazzariniIlaria IsolaFranco Zambonelli
- Topics
- Mobile Agent-Based Network Management (24 papers)Multi-Agent Systems and Negotiation (23 papers)Service-Oriented Architecture and Web Services (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied PhysicsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ItalyUnited StatesMexico
In The Last Decade
Luca Ferrari
81 papers receiving 486 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 196
- Computer Networks and Communications 119
- Information Systems 99
- Geophysics 93
- Computer Vision and Pattern Recognition 82
Countries citing papers authored by Luca Ferrari
This map shows the geographic impact of Luca Ferrari'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 Luca Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Ferrari more than expected).
Fields of papers citing papers by Luca Ferrari
This network shows the impact of papers produced by Luca Ferrari. 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 Luca Ferrari. The network helps show where Luca Ferrari may publish in the future.
Co-authorship network of co-authors of Luca Ferrari
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Ferrari. A scholar is included among the top collaborators of Luca Ferrari 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 Luca Ferrari. Luca Ferrari 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 | 5 | |
| 4 | Il digitale a scuola : per una implementazione sostenibile | 2 |
| 5 | Costruire esperienze didattiche di online collaborative learning | 3 |
| 6 | 2 | |
| 7 | 4 | |
| 8 | Rights to Broadcast Sporting Events under Italian Law | 2 |
| 9 | 4 | |
| 10 | Role-based Approaches for Engineering Interactions in Large-scale Multi-Agent Systems | 2 |
| 11 | 65 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | A Case Study in Role-based Agent Interactions to Perform Administrative Tasks. | 1 |
| 18 | 6 | |
| 19 | How to Dynamically Add Roles to Agents. | 1 |
| 20 | 13 |
About Luca Ferrari
Luca Ferrari is a scholar working on Acoustics and Ultrasonics, Computer Science Applications and Computer Networks and Communications, having authored 96 papers that have together received 522 indexed citations. Recurring topics across this work include Mobile Agent-Based Network Management (24 papers), Multi-Agent Systems and Negotiation (23 papers) and Service-Oriented Architecture and Web Services (16 papers). The work is most often cited by research in Geophysics (93 citations), Artificial Intelligence (196 citations) and Computer Networks and Communications (119 citations). Luca Ferrari has collaborated with scholars based in Italy, United States and Mexico. Frequent co-authors include Giacomo Cabri, Letizia Leonardi, P.V. Sankar, Martín Valencia-Moreno, Scott E. Bryan, Francesco Mazzarini, Ilaria Isola, Franco Zambonelli, Nicoletta Di Blas and Joie P. Jones. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.