Giovanni Squillero

3.5k total citations
157 papers, 2.0k citations indexed

About

Giovanni Squillero is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Giovanni Squillero has authored 157 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Hardware and Architecture, 59 papers in Electrical and Electronic Engineering and 53 papers in Artificial Intelligence. Recurrent topics in Giovanni Squillero's work include VLSI and Analog Circuit Testing (77 papers), Evolutionary Algorithms and Applications (39 papers) and Integrated Circuits and Semiconductor Failure Analysis (35 papers). Giovanni Squillero is often cited by papers focused on VLSI and Analog Circuit Testing (77 papers), Evolutionary Algorithms and Applications (39 papers) and Integrated Circuits and Semiconductor Failure Analysis (35 papers). Giovanni Squillero collaborates with scholars based in Italy, France and Germany. Giovanni Squillero's co-authors include M. Sonza Reorda, Fulvio Corno, Ernesto Sánchez, Alberto Tonda, M. Violante, Maurizio Rebaudengo, George Davey Smith, Riccardo Cantoro, Luis Entrena and Paolo Bernardi and has published in prestigious journals such as Scientific Reports, IEEE Access and Information Sciences.

In The Last Decade

Giovanni Squillero

147 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Squillero Italy 22 1.2k 1.1k 431 394 249 157 2.0k
P. Prinetto Italy 26 2.0k 1.7× 2.0k 1.8× 213 0.5× 411 1.0× 203 0.8× 294 2.7k
Fabrizio Ferrandi Italy 18 1.4k 1.1× 682 0.6× 193 0.4× 156 0.4× 195 0.8× 151 1.8k
Masahiro Fujita Japan 26 1.9k 1.5× 1.5k 1.4× 675 1.6× 924 2.3× 1.9k 7.6× 336 3.6k
Nicola Bombieri Italy 18 554 0.5× 198 0.2× 148 0.3× 109 0.3× 185 0.7× 129 1.1k
Saša Misailovíc United States 23 1.4k 1.1× 1.1k 1.1× 557 1.3× 418 1.1× 224 0.9× 85 2.3k
Siddharth Garg United States 27 1.4k 1.2× 1.5k 1.4× 1.1k 2.5× 83 0.2× 47 0.2× 148 2.9k
Hiroto Yasuura Japan 22 1.2k 1.0× 1.1k 1.0× 204 0.5× 35 0.1× 288 1.2× 164 2.1k
Adrian Sampson United States 19 1.5k 1.2× 1.7k 1.6× 420 1.0× 93 0.2× 148 0.6× 50 2.5k
Behrooz Parhami United States 18 268 0.2× 471 0.4× 215 0.5× 72 0.2× 275 1.1× 125 1.3k
Giovanni Agosta Italy 15 377 0.3× 232 0.2× 412 1.0× 52 0.1× 107 0.4× 95 1.0k

Countries citing papers authored by Giovanni Squillero

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Squillero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Squillero

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Squillero. A scholar is included among the top collaborators of Giovanni Squillero 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 Giovanni Squillero. Giovanni Squillero 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.
Quer, Stefano, et al.. (2025). Flying-Probe Testing: A Trajectory Planner and a Benchmark Suite. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(12). 4807–4817.
2.
Cantoro, Riccardo, et al.. (2023). Enabling Inter-Product Transfer Learning on MCU Performance Screening. 1–6. 1 indexed citations
3.
Bartoli, Alberto, Andrea De Lorenzo, Eric Medvet, & Giovanni Squillero. (2019). Multi-level diversity promotion strategies for Grammar-guided Genetic Programming. Applied Soft Computing. 83. 105599–105599. 8 indexed citations
4.
Squillero, Giovanni, et al.. (2019). Evolutionary Antivirus Signature Optimization. 10. 928–935. 1 indexed citations
5.
6.
Cantoro, Riccardo, et al.. (2016). Observability solutions for in-field functional test of processor-based systems: A survey and quantitative test case evaluation. Microprocessors and Microsystems. 47. 392–403. 8 indexed citations
7.
Bucur, Doina, Giovanni Iacca, Giovanni Squillero, & Alberto Tonda. (2014). The impact of topology on energy consumption for collection tree protocols: An experimental assessment through evolutionary computation. Applied Soft Computing. 16. 210–222. 6 indexed citations
8.
Brabazon, Anthony, Gianni A. Di, Rolf Drechsler, et al.. (2011). Applications of Evolutionary ComputationEvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG, Torino, Italy, April 27-29, 2011, Proceedings, Part II. PORTO Publications Open Repository TOrino (Politecnico di Torino). 6625. 1–510. 3 indexed citations
9.
Squillero, Giovanni, et al.. (2007). Interactive presentation: An enhanced technique for the automatic generation of effective diagnosis-oriented test programs for processor. Design, Automation, and Test in Europe. 1158–1163. 1 indexed citations
10.
Giacobini, Mario, Gianni A. Di, Andréas Fink, et al.. (2007). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes: Preface. Lecture notes in computer science. 1 indexed citations
11.
Bolzani, L., et al.. (2007). An Automated Methodology for Cogeneration of Test Blocks for Peripheral Cores. 179. 265–270. 8 indexed citations
12.
Bernardi, Paolo, et al.. (2005). Diagnosing Faulty Functional Units in Processors by Using Automatically Generated Test Sets. 37–41. 1 indexed citations
13.
Corno, Fulvio, et al.. (2003). Fully Automatic Test Program Generation for Microprocessor Cores. Design, Automation, and Test in Europe. 1. 11006–11011. 61 indexed citations
14.
Bonino, Dario, Fulvio Corno, & Giovanni Squillero. (2003). An Evolutionary Approach to Web Request Prediction. PORTO Publications Open Repository TOrino (Politecnico di Torino). 3 indexed citations
15.
Corno, Fulvio, M. Sonza Reorda, & Giovanni Squillero. (2002). Reducing test application time through interleaved scan. 89–94. 3 indexed citations
16.
Corno, Fulvio, et al.. (2002). New Techniques for Speeding-Up Fault-Injection Campaigns. Design, Automation, and Test in Europe. 847–852. 37 indexed citations
17.
Corno, Fulvio, M. Sonza Reorda, Giovanni Squillero, & M. Violante. (2001). On the test of microprocessor IP cores. Design, Automation, and Test in Europe. 209–213. 49 indexed citations
18.
Corno, Fulvio, et al.. (2001). On the test of microprocessor IP cores. 209–213. 42 indexed citations
19.
Corno, Fulvio, et al.. (2000). RT-level Fault Simulation Techniques based on Simulation Command Scripts. PORTO Publications Open Repository TOrino (Politecnico di Torino). 825–830. 9 indexed citations
20.
Corno, Fulvio, Maurizio Rebaudengo, M. Sonza Reorda, Giovanni Squillero, & M. Violante. (2000). Low Power BIST via Hybrid Cellular Automata. PORTO Publications Open Repository TOrino (Politecnico di Torino). 29–34. 8 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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