G. Bagliesi

21.5k total citations
11 papers, 38 citations indexed

About

G. Bagliesi is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Information Systems and Management. According to data from OpenAlex, G. Bagliesi has authored 11 papers receiving a total of 38 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Nuclear and High Energy Physics and 3 papers in Information Systems and Management. Recurrent topics in G. Bagliesi's work include Distributed and Parallel Computing Systems (5 papers), Particle Detector Development and Performance (5 papers) and Advanced Data Storage Technologies (5 papers). G. Bagliesi is often cited by papers focused on Distributed and Parallel Computing Systems (5 papers), Particle Detector Development and Performance (5 papers) and Advanced Data Storage Technologies (5 papers). G. Bagliesi collaborates with scholars based in Italy, United Kingdom and Switzerland. G. Bagliesi's co-authors include H. Dietl, E. Focardi, B.J. Hosticka, E. Mazzoni, W. Buttler, Giacinto Donvito, G. Batignani, M. Biasotto, G. Lutz and P. Holl and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, The European Physical Journal C and Journal of Physics Conference Series.

In The Last Decade

G. Bagliesi

10 papers receiving 36 citations

Peers

G. Bagliesi
E. Dénes Switzerland
Viacheslav Filimonov Russia
M. Biglietti Switzerland
M. J. Kortelainen United States
C. Foudas United Kingdom
M. Matveev United States
P. Padley United States
M. Richter Norway
A. Borga Germany
M. Joos Switzerland
E. Dénes Switzerland
G. Bagliesi
Citations per year, relative to G. Bagliesi G. Bagliesi (= 1×) peers E. Dénes

Countries citing papers authored by G. Bagliesi

Since Specialization
Citations

This map shows the geographic impact of G. Bagliesi'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 G. Bagliesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Bagliesi more than expected).

Fields of papers citing papers by G. Bagliesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Bagliesi. 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 G. Bagliesi. The network helps show where G. Bagliesi may publish in the future.

Co-authorship network of co-authors of G. Bagliesi

This figure shows the co-authorship network connecting the top 25 collaborators of G. Bagliesi. A scholar is included among the top collaborators of G. Bagliesi 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 G. Bagliesi. G. Bagliesi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Ciangottini, D., G. Bagliesi, M. Biasotto, et al.. (2019). Integration of the Italian cache federation within the CMS computing model. CERN Document Server (European Organization for Nuclear Research). 14–14. 5 indexed citations
2.
Ciangottini, D., D. Spiga, T. Boccali, et al.. (2018). Distributed and On-demand Cache for CMS Experiment at LHC. 513. 336–337. 2 indexed citations
3.
Anisenkov, A. V., G. Bagliesi, S. Campana, et al.. (2017). Consolidating WLCG topology and configuration in the Computing Resource Information Catalogue. Journal of Physics Conference Series. 898. 92042–92042. 3 indexed citations
4.
Bagliesi, G., K. Bloom, C. Brew, et al.. (2012). Towards higher reliability of CMS computing facilities. Journal of Physics Conference Series. 396(3). 32041–32041. 1 indexed citations
5.
Filippis, N. De, G. Bagliesi, R. Bainbridge, et al.. (2008). Real-time dataflow and workflow with the CMS tracker data. Journal of Physics Conference Series. 119(7). 72015–72015. 1 indexed citations
6.
Bagliesi, G.. (2008). Reconstruction and identification of tau decays at CMS. Journal of Physics Conference Series. 119(3). 32005–32005. 6 indexed citations
7.
Bagliesi, G., L. Carminati, C. Mariotti, et al.. (2006). The experimental world. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3 indexed citations
8.
Bagliesi, G.. (2004). CMS high-level trigger selection. The European Physical Journal C. 33(S1). s1035–s1037. 2 indexed citations
9.
Wheadon, R., G. Tonelli, Piero Giorgio Verdini, et al.. (2002). Double-sided silicon detectors using n-side pad readout for the CMS silicon inner tracker. 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record. 1. 541–543.
10.
Bagliesi, G.. (2001). The CMS tracker and expected performances. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 466(2). 255–261. 1 indexed citations
11.
Holl, P., H. Dietl, J. Fent, et al.. (1987). The ALEPH minivertex detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 257(3). 587–590. 14 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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