T. Boccali

96.4k total citations
37 papers, 106 citations indexed

About

T. Boccali is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Hardware and Architecture. According to data from OpenAlex, T. Boccali has authored 37 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Networks and Communications, 14 papers in Nuclear and High Energy Physics and 12 papers in Hardware and Architecture. Recurrent topics in T. Boccali's work include Distributed and Parallel Computing Systems (31 papers), Advanced Data Storage Technologies (25 papers) and Parallel Computing and Optimization Techniques (12 papers). T. Boccali is often cited by papers focused on Distributed and Parallel Computing Systems (31 papers), Advanced Data Storage Technologies (25 papers) and Parallel Computing and Optimization Techniques (12 papers). T. Boccali collaborates with scholars based in Italy, United States and Switzerland. T. Boccali's co-authors include D. Spiga, D. Ciangottini, Davide Salomoni, Giacinto Donvito, L dell’Agnello, Daniele Cesini, D. Bonacorsi, M. Duranti, T. Tedeschi and R. Di Maria and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Scientific Programming.

In The Last Decade

T. Boccali

34 papers receiving 97 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Boccali Italy 6 79 37 24 20 13 37 106
S. Roiser Switzerland 6 56 0.7× 52 1.4× 19 0.8× 18 0.9× 10 0.8× 25 93
R. Santinelli Switzerland 4 112 1.4× 44 1.2× 57 2.4× 17 0.8× 27 2.1× 10 140
J. Closier Switzerland 5 127 1.6× 47 1.3× 60 2.5× 15 0.8× 35 2.7× 10 153
M. Lamanna Switzerland 6 77 1.0× 47 1.3× 27 1.1× 20 1.0× 16 1.2× 14 134
L. Tuura United States 6 114 1.4× 66 1.8× 40 1.7× 26 1.3× 12 0.9× 23 139
M. S. Neubauer United States 6 29 0.4× 35 0.9× 12 0.5× 10 0.5× 15 1.2× 22 82
M. Girone Switzerland 5 59 0.7× 52 1.4× 28 1.2× 7 0.3× 9 0.7× 18 99
Carmela Cioffi Switzerland 3 80 1.0× 35 0.9× 38 1.6× 12 0.6× 18 1.4× 9 101
G Castellani Switzerland 2 75 0.9× 28 0.8× 37 1.5× 13 0.7× 19 1.5× 4 93
Kilian Schwarz Germany 4 45 0.6× 43 1.2× 23 1.0× 11 0.6× 29 2.2× 12 99

Countries citing papers authored by T. Boccali

Since Specialization
Citations

This map shows the geographic impact of T. Boccali'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 T. Boccali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Boccali more than expected).

Fields of papers citing papers by T. Boccali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Boccali

This figure shows the co-authorship network connecting the top 25 collaborators of T. Boccali. A scholar is included among the top collaborators of T. Boccali 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 T. Boccali. T. Boccali 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.
Barbet, Jean-Michel, T. Boccali, Vincenzo Innocente, et al.. (2024). HEPScore: A new CPU benchmark for the WLCG. SHILAP Revista de lepidopterología. 295. 7024–7024. 2 indexed citations
2.
Boccali, T., et al.. (2023). Enabling CMS Experiment to the utilization of multiple hardware architectures: a Power9 Testbed at CINECA. Journal of Physics Conference Series. 2438(1). 12031–12031.
3.
Adelman-McCarthy, Jennifer, T. Boccali, René Caspart, et al.. (2023). Extending the distributed computing infrastructure of the CMS experiment with HPC resources. Journal of Physics Conference Series. 2438(1). 12039–12039. 1 indexed citations
4.
Boccali, T.. (2022). High Energy Physics computing for the next decade. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1043. 167434–167434.
5.
Boccali, T., et al.. (2021). A possible solution for HEP processing on network secluded Computing Nodes. 2–2. 3 indexed citations
6.
Boccali, T.. (2020). CMS Software and Offline preparation for future runs. Journal of Physics Conference Series. 1525(1). 12037–12037. 1 indexed citations
7.
Boccali, T.. (2019). Computing models in high energy physics. SHILAP Revista de lepidopterología. 4. 100034–100034. 8 indexed citations
8.
Spiga, D., T. Boccali, D. Ciangottini, et al.. (2019). Exploiting private and commercial clouds to generate on-demand CMS computing facilities with DODAS. SHILAP Revista de lepidopterología. 214. 7027–7027. 8 indexed citations
9.
Boccali, T., D. Bonacorsi, C. Bozzi, et al.. (2019). Extension of the INFN Tier-1 on a HPC system. Springer Link (Chiba Institute of Technology). 5 indexed citations
10.
dell’Agnello, L, T. Boccali, Daniele Cesini, et al.. (2019). INFN Tier–1: a distributed site. SHILAP Revista de lepidopterología. 214. 8002–8002. 4 indexed citations
11.
Storchi, Loriano, et al.. (2019). The BondMachine toolkit: Enabling Machine Learning on FPGA. CERN Document Server (European Organization for Nuclear Research). 20–20. 1 indexed citations
12.
Meoni, Marco, et al.. (2017). XRootD popularity on hadoop clusters. Journal of Physics Conference Series. 898. 72027–72027. 1 indexed citations
13.
Cesini, Daniele, Lucia Morganti, Enrico Calore, et al.. (2017). Power-Efficient Computing: Experiences from the COSA Project. Scientific Programming. 2017. 1–14. 7 indexed citations
14.
Bagnasco, S., T. Boccali, Miguel Caballer, et al.. (2017). Geographically distributed Batch System as a Service: the INDIGO-DataCloud approach exploiting HTCondor. Journal of Physics Conference Series. 898. 52033–52033. 2 indexed citations
15.
Boccali, T., et al.. (2017). Elastic CNAF DataCenter extension via opportunistic resources. Proceedings Of Science. 31–31. 4 indexed citations
16.
Boccali, T., Daniele Cesini, Vincenzo Ciaschini, et al.. (2017). Extending the farm on external sites: the INFN Tier-1 experience. Journal of Physics Conference Series. 898. 82018–82018. 2 indexed citations
17.
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
18.
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
19.
Boccali, T.. (2003). High level Trigger at CMS with the Tracker. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 511(1-2). 150–152. 1 indexed citations
20.
Boccali, T.. (1999). Gluon splitting to bb and cc at the Z resonance. Nuclear Physics B - Proceedings Supplements. 75(3). 241–245.

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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