Giacomo Gabrielli

561 total citations
20 papers, 281 citations indexed

About

Giacomo Gabrielli is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Giacomo Gabrielli has authored 20 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 18 papers in Hardware and Architecture and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Giacomo Gabrielli's work include Parallel Computing and Optimization Techniques (18 papers), Interconnection Networks and Systems (15 papers) and Advanced Data Storage Technologies (11 papers). Giacomo Gabrielli is often cited by papers focused on Parallel Computing and Optimization Techniques (18 papers), Interconnection Networks and Systems (15 papers) and Advanced Data Storage Technologies (11 papers). Giacomo Gabrielli collaborates with scholars based in Italy, United Kingdom and United States. Giacomo Gabrielli's co-authors include Pierfrancesco Foglia, Cosimo Antonio Prete, Alessandro Bardine, Alastair Reid, A. Martínez, Alejandro Rico, Stuart Biles, Paul M. Walker, Grigorios Magklis and Per Stenström and has published in prestigious journals such as IEEE Micro, IET Computers & Digital Techniques and Research Explorer (The University of Manchester).

In The Last Decade

Giacomo Gabrielli

13 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giacomo Gabrielli Italy 7 235 197 85 33 23 20 281
Stuart Biles United States 5 342 1.5× 272 1.4× 65 0.8× 43 1.3× 23 1.0× 7 393
Derek Lockhart United States 8 249 1.1× 182 0.9× 119 1.4× 23 0.7× 20 0.9× 14 308
Weikang Qiao United States 10 193 0.8× 165 0.8× 118 1.4× 68 2.1× 29 1.3× 15 296
Adrià Armejach Spain 9 220 0.9× 202 1.0× 61 0.7× 31 0.9× 21 0.9× 38 286
B. Juurlink Netherlands 11 184 0.8× 177 0.9× 77 0.9× 24 0.7× 43 1.9× 33 263
John S. O’Donnell United States 4 304 1.3× 171 0.9× 50 0.6× 56 1.7× 14 0.6× 6 331
Christina Giannoula Greece 6 130 0.6× 109 0.6× 99 1.2× 47 1.4× 31 1.3× 21 235
Jason Poovey United States 7 194 0.8× 159 0.8× 60 0.7× 35 1.1× 43 1.9× 9 279
Sanjay Jinturkar United States 12 206 0.9× 160 0.8× 95 1.1× 55 1.7× 30 1.3× 22 316
Hongbo Rong United States 10 265 1.1× 163 0.8× 65 0.8× 70 2.1× 42 1.8× 29 317

Countries citing papers authored by Giacomo Gabrielli

Since Specialization
Citations

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

Fields of papers citing papers by Giacomo Gabrielli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giacomo Gabrielli

This figure shows the co-authorship network connecting the top 25 collaborators of Giacomo Gabrielli. A scholar is included among the top collaborators of Giacomo Gabrielli 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 Giacomo Gabrielli. Giacomo Gabrielli 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.
Gabrielli, Giacomo, et al.. (2025). LoopFrog: In-Core Hint-Based Loop Parallelization. 490–503.
2.
Gabrielli, Giacomo, et al.. (2024). OptiWISE: Combining Sampling and Instrumentation for Granular CPI Analysis. Apollo (University of Cambridge). 373–385.
3.
Luján, Mikel, et al.. (2021). Loopapalooza: Investigating Limits of Loop-Level Parallelism with a Compiler-Driven Approach. Research Explorer (The University of Manchester). 128–138. 1 indexed citations
4.
Gabrielli, Giacomo, et al.. (2021). Speculative Vectorisation with Selective Replay. 223–236. 1 indexed citations
5.
Biles, Stuart, Giacomo Gabrielli, Grigorios Magklis, et al.. (2017). The ARM Scalable Vector Extension. IEEE Micro. 37(2). 26–39. 167 indexed citations
6.
Al‐Hashimi, Bashir M., et al.. (2014). Advanced SIMD: Extending the reach of contemporary SIMD architectures. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014. 1–4. 2 indexed citations
7.
Al‐Hashimi, Bashir M., et al.. (2014). Advanced SIMD: Extending the reach of contemporary SIMD architectures. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014. 1–4. 2 indexed citations
8.
Gabrielli, Giacomo, et al.. (2013). MALEC: A Multiple Access Low Energy Cache. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013. 368–373. 3 indexed citations
9.
Bardine, Alessandro, et al.. (2010). Way adaptable D-NUCA caches. CINECA IRIS Institutial research information system (University of Pisa). 2(3/4). 215–215. 19 indexed citations
10.
Bardine, Alessandro, et al.. (2009). A power-efficient migration mechanism for D-NUCA caches. Design, Automation, and Test in Europe. 1. 598–601. 10 indexed citations
11.
Foglia, Pierfrancesco, et al.. (2009). Reducing Sensitivity to NoC Latency in NUCA Caches. CINECA IRIS Institutial research information system (University of Pisa). 1. 12–18.
12.
Foglia, Pierfrancesco, et al.. (2009). Impact of on-chip network parameters on NUCA cache performances. IET Computers & Digital Techniques. 3(5). 501–512. 6 indexed citations
13.
Foglia, Pierfrancesco, et al.. (2009). A power-efficient migration mechanism for D-NUCA caches. 598–601. 10 indexed citations
14.
Foglia, Pierfrancesco, et al.. (2008). Performance Sensitivity of NUCA Caches to On-Chip Network Parameters. CINECA IRIS Institutial research information system (University of Pisa). 167–174. 1 indexed citations
15.
Bardine, Alessandro, et al.. (2008). Leveraging Data Promotion for Low Power D-NUCA Caches. CINECA IRIS Institutial research information system (University of Pisa). 307–316. 15 indexed citations
16.
Bardine, Alessandro, et al.. (2008). On-Chip Networks: Impact on the Performances of NUCA Caches. CINECA IRIS Institutial research information system (University of Pisa). 1. 55–56. 1 indexed citations
17.
Bardine, Alessandro, et al.. (2008). NUCA caches: Analysis of Performance Sensitivity to NOC Parameters. CINECA IRIS Institutial research information system (University of Pisa). 1. 103–106. 1 indexed citations
18.
Bardine, Alessandro, Pierfrancesco Foglia, Giacomo Gabrielli, Cosimo Antonio Prete, & Per Stenström. (2007). Improving power efficiency of D-NUCA caches. ACM SIGARCH Computer Architecture News. 35(4). 53–58. 9 indexed citations
19.
Bardine, Alessandro, Giacomo Gabrielli, Pierfrancesco Foglia, & Cosimo Antonio Prete. (2007). Evaluating Power Consumption of D-Nuca Caches. 1. 9–12.
20.
Bardine, Alessandro, Pierfrancesco Foglia, Giacomo Gabrielli, & Cosimo Antonio Prete. (2007). Analysis of static and dynamic energy consumption in NUCA caches. CINECA IRIS Institutial research information system (University of Pisa). 105–112. 33 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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