M. Sgaravatto

2.5k total citations
28 papers, 147 citations indexed

About

M. Sgaravatto is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems. According to data from OpenAlex, M. Sgaravatto has authored 28 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 15 papers in Information Systems and Management and 9 papers in Information Systems. Recurrent topics in M. Sgaravatto's work include Distributed and Parallel Computing Systems (26 papers), Advanced Data Storage Technologies (15 papers) and Scientific Computing and Data Management (15 papers). M. Sgaravatto is often cited by papers focused on Distributed and Parallel Computing Systems (26 papers), Advanced Data Storage Technologies (15 papers) and Scientific Computing and Data Management (15 papers). M. Sgaravatto collaborates with scholars based in Italy, Switzerland and Romania. M. Sgaravatto's co-authors include L. Zangrando, Paolo Andreetto, Moreno Marzolla, Sergio Traldi, A. Gianelle, M. Mazzucato, E Frizziero, A. Dorigo, F. Prelz and S. Fantinel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and Journal of Physics Conference Series.

In The Last Decade

M. Sgaravatto

22 papers receiving 134 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Sgaravatto Italy 7 135 67 46 38 4 28 147
S. Fantinel Italy 4 91 0.7× 33 0.5× 52 1.1× 21 0.6× 5 1.3× 12 105
L. Zangrando Italy 6 70 0.5× 41 0.6× 27 0.6× 19 0.5× 2 0.5× 24 94
Mark Grondona United States 6 146 1.1× 44 0.7× 78 1.7× 59 1.6× 4 1.0× 8 168
Flavia Donno Switzerland 7 120 0.9× 37 0.6× 28 0.6× 48 1.3× 6 1.5× 22 132
Paolo Andreetto Italy 6 80 0.6× 46 0.7× 33 0.7× 23 0.6× 3 0.8× 24 108
D. Hufnagel United States 7 95 0.7× 41 0.6× 29 0.6× 25 0.7× 5 1.3× 21 110
E. Giorgio Italy 5 55 0.4× 40 0.6× 30 0.7× 10 0.3× 7 1.8× 17 82
Felipe Bertrand United States 6 112 0.8× 47 0.7× 33 0.7× 58 1.5× 6 1.5× 7 125
Fabrizio Furano Switzerland 7 142 1.1× 56 0.8× 23 0.5× 28 0.7× 6 1.5× 26 146
Sergio Andreozzi Italy 7 170 1.3× 66 1.0× 83 1.8× 54 1.4× 10 2.5× 26 191

Countries citing papers authored by M. Sgaravatto

Since Specialization
Citations

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

Fields of papers citing papers by M. Sgaravatto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Sgaravatto

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

All Works

20 of 20 papers shown
1.
Andreetto, Paolo, Alberto Crescente, S. Fantinel, et al.. (2021). Accounting in the CloudVeneto private cloud. SHILAP Revista de lepidopterología. 251. 2022–2022.
2.
Andreetto, Paolo, Alberto Crescente, S. Fantinel, et al.. (2020). Evolution of the CloudVeneto.it private cloud to support research and innovation. SHILAP Revista de lepidopterología. 245. 7013–7013. 1 indexed citations
3.
Andreetto, Paolo, Alberto Crescente, S. Fantinel, et al.. (2019). Merging OpenStack-based private clouds: the case of CloudVeneto.it. SHILAP Revista de lepidopterología. 214. 7010–7010. 10 indexed citations
4.
Andreetto, Paolo, F.E. Costa, Alberto Crescente, et al.. (2017). The Cloud Area Padovana: from pilot to production. Journal of Physics Conference Series. 898. 52007–52007. 3 indexed citations
5.
6.
Zangrando, L., M. Verlato, F. Fanzago, & M. Sgaravatto. (2017). Synergy: a service for optimising the resource allocation in the cloud based environments. 32–32. 1 indexed citations
7.
García, Álvaro López, L. Zangrando, M. Sgaravatto, et al.. (2017). Improved Cloud resource allocation: how INDIGO-DataCloud is overcoming the current limitations in Cloud schedulers. Journal of Physics Conference Series. 898. 92010–92010. 4 indexed citations
8.
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
9.
Bauer, D., D. Colling, Marc Dobson, et al.. (2015). The Diverse use of Clouds by CMS. Journal of Physics Conference Series. 664(2). 22012–22012. 6 indexed citations
10.
Boccali, T., Giacinto Donvito, Domenico Diacono, et al.. (2014). An Xrootd Italian Federation. Journal of Physics Conference Series. 513(4). 42013–42013. 1 indexed citations
11.
Colling, D., Adam Huffman, C. Grandi, et al.. (2014). Using the CMS High Level Trigger as a Cloud Resource. Journal of Physics Conference Series. 513(3). 32019–32019. 5 indexed citations
12.
Andreetto, Paolo, Marco Cecchi, A. Dorigo, et al.. (2011). Status and Developments of the CREAM Computing Element Service. Journal of Physics Conference Series. 331(6). 62024–62024. 6 indexed citations
13.
Zangrando, L., B. Kónya, M. Sgaravatto, et al.. (2010). EMI Execution Service Specification 1.0. CERN Document Server (European Organization for Nuclear Research).
14.
Lorenzo, Patricia M. Di, A. Sciabà, N.J. Thackray, et al.. (2010). The CREAM-CE: First experiences, results and requirements of the four LHC experiments. Journal of Physics Conference Series. 219(6). 62022–62022.
15.
Andreetto, Paolo, A. Dorigo, E Frizziero, et al.. (2010). Using CREAM and CEMonitor for job submission and management in the gLite middleware. Journal of Physics Conference Series. 219(6). 62001–62001. 2 indexed citations
16.
Cecchi, Marco, A. Dorigo, F. Giacomini, et al.. (2009). The gLite Workload Management System. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 32(2). 209–212. 14 indexed citations
17.
Andreetto, Paolo, E Frizziero, A. Gianelle, et al.. (2009). Design and implementation of the gLite CREAM job management service. Future Generation Computer Systems. 26(4). 654–667. 30 indexed citations
18.
Andreetto, Paolo, S. Da Ronco, A. Dorigo, et al.. (2008). Job submission and management through web services: the experience with the CREAM service. Journal of Physics Conference Series. 119(6). 62004–62004. 7 indexed citations
19.
Hood, Robert, Christine Morin, Stephen Pickles, M. Sgaravatto, & Heon Y. Yeom. (2007). Use-Cases and Requirements for Grid Checkpoint and Recovery. 3 indexed citations
20.
Giacomini, F., et al.. (2002). Planning on the Grid: A Status Report. 1 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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