Massimo Torquati

2.2k citations
111 papers · 857 · h-index 15

Impact in

Papers in

    • Distributed and Parallel Computing Systems 38
    • Advanced Data Storage Technologies 26
    • Interconnection Networks and Systems 14
    • Advanced Database Systems and Queries 13
    • Distributed systems and fault tolerance 12
    • Parallel Computing and Optimization Techniques 52

Massimo Torquati

101 papers receiving 825 citations

Peers

Massimo Torquati
Comparison fields: 5 of 52
  • Hardware and Architecture 363
  • Computer Networks and Communications 494
  • Radiation 160
  • Nuclear and High Energy Physics 199
  • Information Systems 246
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Citations per field
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Citations per year

Countries citing papers authored by Massimo Torquati

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Torquati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Torquati, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Torquati Line = papers co-authored together Massimo Torquati links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198961
2 201750
3 201644
4 201031
5 199130
6 199229
7 199225
8 202124
9 201724
10 201723
11 201423
12 202117
13 201316
14 199216
15 201415
16 202013
17 201912
18 201712
19 201712
20 199012

About Massimo Torquati

Massimo Torquati is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Radiation and Artificial Intelligence, having authored 111 papers that have together received 857 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (52 papers), Distributed and Parallel Computing Systems (38 papers), Advanced Data Storage Technologies (26 papers), Cloud Computing and Resource Management (24 papers), Interconnection Networks and Systems (14 papers), Advanced Database Systems and Queries (13 papers), Particle Detector Development and Performance (13 papers) and Distributed systems and fault tolerance (12 papers). The work is most often cited by research in Hardware and Architecture (363 citations), Computer Networks and Communications (494 citations), Radiation (160 citations), Nuclear and High Energy Physics (199 citations) and Information Systems (246 citations). Massimo Torquati has collaborated with scholars based in Italy, United Kingdom and Brazil. Frequent co-authors include Marco Danelutto, Gabriele Mencagli, Marco Aldinucci, Daniele De Sensi, A. Brez, R. Bellazzini, M.M. Massai, G. Spandre, Franco Angelini and Tiziano De Matteis. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Future Generation Computer Systems, The International Journal of High Performance Computing Applications, IEEE Transactions on Nuclear Science and BioMed Research International.

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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