Gianluca Peco

2.1k total citations
11 papers, 35 citations indexed

About

Gianluca Peco is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Information Systems and Management. According to data from OpenAlex, Gianluca Peco has authored 11 papers receiving a total of 35 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 5 papers in Nuclear and High Energy Physics and 2 papers in Information Systems and Management. Recurrent topics in Gianluca Peco's work include Distributed and Parallel Computing Systems (8 papers), Advanced Data Storage Technologies (6 papers) and Particle Detector Development and Performance (5 papers). Gianluca Peco is often cited by papers focused on Distributed and Parallel Computing Systems (8 papers), Advanced Data Storage Technologies (6 papers) and Particle Detector Development and Performance (5 papers). Gianluca Peco collaborates with scholars based in Italy, Switzerland and Romania. Gianluca Peco's 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 and has published in prestigious journals such as IEEE Transactions on Nuclear Science, Journal of Physics Conference Series and Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).

In The Last Decade

Gianluca Peco

10 papers receiving 33 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gianluca Peco Italy	4	34	9	9	9	4	11	35
A. Carbone Italy	4	28 0.8×	10 1.1×	5 0.6×	6 0.7×	9 2.3×	9	31
A. Hirstius Switzerland	2	24 0.7×	8 0.9×	7 0.8×	5 0.6×	3 0.8×	3	26
E. Gottschalk United States	5	13 0.4×	9 1.0×	7 0.8×	21 2.3×	4 1.0×	12	36
D. Bortolotti Italy	4	22 0.6×	9 1.0×	6 0.7×	8 0.9×		8	28
S. Stancu Switzerland	5	44 1.3×	8 0.9×	11 1.2×	11 1.2×	6 1.5×	17	55
E. Berman United States	4	17 0.5×	4 0.4×	8 0.9×	10 1.1×	5 1.3×	12	29
S. Piperov United States	4	25 0.7×	6 0.7×	12 1.3×	21 2.3×	10 2.5×	8	44
B. Blumenfeld United States	4	26 0.8×	5 0.6×	3 0.3×	9 1.0×	10 2.5×	6	34
W. Rinaldi Italy	3	12 0.4×	7 0.8×	10 1.1×	9 1.0×	1 0.3×	10	26
V. Jary Czechia	3	18 0.5×	6 0.7×	10 1.1×	25 2.8×		12	31

Countries citing papers authored by Gianluca Peco

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Codispoti, G., R. Di Maria, D. Bonacorsi, et al.. (2016). Elastic Extension of a CMS Computing Centre Resources on External Clouds. Journal of Physics Conference Series. 762. 12013–12013. 1 indexed citations

Bortolotti, D., A. Carbone, D. Galli, et al.. (2011). Comparison of UDP Transmission Performance Between IP-Over-InfiniBand and 10-Gigabit Ethernet. IEEE Transactions on Nuclear Science. 58(4). 1606–1612. 3 indexed citations

Bortolotti, D., A. Carbone, D. Galli, et al.. (2010). High rate packet transmission via IP-over-InfiniBand using commodity hardware. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1. 1–6.

Carbone, A., Armando Fella, D. Galli, et al.. (2009). High rate packet transmission on 10 Gbit/s Ethernet LAN using commodity hardware. 167–182. 3 indexed citations

Carbone, A., et al.. (2008). The Monitoring and Control System of the LHCb Event Filter Farm. IEEE Transactions on Nuclear Science. 55(1). 370–378. 1 indexed citations

Bonifazi, Francesca, A. Carbone, L dell’Agnello, et al.. (2008). LHCb experience with LFC replication. Journal of Physics Conference Series. 119(4). 42005–42005. 4 indexed citations

Barczyk, A., D. Bortolotti, A. Carbone, et al.. (2006). High rate packets transmission on ethernet LAN using commodity hardware. IEEE Transactions on Nuclear Science. 53(3). 810–816. 9 indexed citations

Bonifazi, Francesca, D. Bortolotti, Angelo Carbone, et al.. (2005). The Message Logger for the LHCb On-Line Farm. CERN Bulletin. 1–20. 2 indexed citations

Bonifazi, Francesca, D. Bortolotti, Angelo Carbone, et al.. (2005). The Monitor System for the LHCb On-Line Farm. CERN Bulletin. 1–69. 1 indexed citations

10.

Barczyk, A., A. Carbone, J.P. Dufey, et al.. (2004). Reliability of Datagram Transmission on Gigabit Ethernet at Full Link Load. CERN Bulletin. 1–37. 9 indexed citations

11.

Bonifazi, Francesca, D. Bortolotti, D. Galli, et al.. (2004). The Task Manager for the LHCb On-Line Farm. CERN Bulletin. 1–39. 2 indexed citations

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.

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