Gianluca Peco
- Computer Networks and Communications
- Hardware and Architecture
- Electrical and Electronic Engineering
- Nuclear and High Energy Physics
- Information Systems and Management
- Topics
- Distributed and Parallel Computing Systems (8 papers)Advanced Data Storage Technologies (6 papers)Particle Detector Development and Performance (5 papers)
- Cited by
- Computer Networks and CommunicationsHardware and ArchitectureNuclear and High Energy Physics
- Journals
- IEEE Transactions on Nuclear ScienceJournal of Physics Conference SeriesArchivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
- Partner nations
- ItalySwitzerlandRomania
In The Last Decade
Gianluca Peco
10 papers receiving 33 citations
Peers
Comparison fields: 5 of 7
- Computer Networks and Communications 34
- Hardware and Architecture 9
- Electrical and Electronic Engineering 9
- Nuclear and High Energy Physics 9
- Information Systems and Management 4
Countries citing papers authored by Gianluca Peco
This map shows the geographic impact of Gianluca Peco'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 Gianluca Peco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Peco more than expected).
Fields of papers citing papers by Gianluca Peco
This network shows the impact of papers produced by Gianluca Peco. 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 Gianluca Peco. The network helps show where Gianluca Peco may publish in the future.
Co-authorship network of co-authors of Gianluca Peco
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Peco. A scholar is included among the top collaborators of Gianluca Peco 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 Gianluca Peco. Gianluca Peco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | The Message Logger for the LHCb On-Line Farm | 2 |
| 9 | The Monitor System for the LHCb On-Line Farm | 1 |
| 10 | Reliability of Datagram Transmission on Gigabit Ethernet at Full Link Load | 9 |
| 11 | The Task Manager for the LHCb On-Line Farm | 2 |
About Gianluca Peco
Gianluca Peco is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Information Systems and Management, having authored 11 papers that have together received 35 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (8 papers), Advanced Data Storage Technologies (6 papers) and Particle Detector Development and Performance (5 papers). The work is most often cited by research in Computer Networks and Communications (34 citations), Hardware and Architecture (9 citations) and Nuclear and High Energy Physics (9 citations). Gianluca Peco has collaborated with scholars based in Italy, Switzerland and Romania. Frequent co-authors include V. Vagnoni, D. Galli, U. Marconi, Niko Neufeld, J.P. Dufey, D. Bortolotti, A. Barczyk, A. Carbone, Francesca Bonifazi and Benjamin Gaidioz. Their work appears in journals such as IEEE Transactions on Nuclear Science, Journal of Physics Conference Series and Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).
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.