Giuliano Laccetti
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Hardware and Architecture top 10%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Luisa D’AmoreA. MurliMarco LapegnaGiulio GiuntaRaffaele MontellaDiego RomanoAlfredo PetrosinoSokol Kosta
- Topics
- Distributed and Parallel Computing Systems (18 papers)Parallel Computing and Optimization Techniques (15 papers)Cloud Computing and Resource Management (11 papers)
- Partner nations
- ItalyDenmarkUnited States
In The Last Decade
Giuliano Laccetti
42 papers receiving 409 citations
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 149
- Information Systems 86
- Hardware and Architecture 69
- Computer Vision and Pattern Recognition 57
- Artificial Intelligence 46
Countries citing papers authored by Giuliano Laccetti
This map shows the geographic impact of Giuliano Laccetti'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 Giuliano Laccetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuliano Laccetti more than expected).
Fields of papers citing papers by Giuliano Laccetti
This network shows the impact of papers produced by Giuliano Laccetti. 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 Giuliano Laccetti. The network helps show where Giuliano Laccetti may publish in the future.
Co-authorship network of co-authors of Giuliano Laccetti
This figure shows the co-authorship network connecting the top 25 collaborators of Giuliano Laccetti. A scholar is included among the top collaborators of Giuliano Laccetti 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 Giuliano Laccetti. Giuliano Laccetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 20 | |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 26 | |
| 9 | 19 | |
| 10 | 2 | |
| 11 | 13 | |
| 12 | 7 | |
| 13 | 5 | |
| 14 | 20 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | A Grid-Based RPC System for Medical Imaging | 1 |
| 18 | 0 | |
| 19 | 51 | |
| 20 | 4 |
About Giuliano Laccetti
Giuliano Laccetti is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Graphics and Computer-Aided Design, having authored 46 papers that have together received 431 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (18 papers), Parallel Computing and Optimization Techniques (15 papers) and Cloud Computing and Resource Management (11 papers). The work is most often cited by research in Hardware and Architecture (69 citations), Computer Networks and Communications (149 citations) and Numerical Analysis (32 citations). Giuliano Laccetti has collaborated with scholars based in Italy, Denmark and United States. Frequent co-authors include Luisa D’Amore, A. Murli, Marco Lapegna, Giulio Giunta, Raffaele Montella, Diego Romano, Alfredo Petrosino, Sokol Kosta, Diana Di Luccio and Giuseppe Scotti. Their work appears in journals such as IEEE Access, Pattern Recognition and Future Generation Computer Systems.
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.