Marcello Traiola

601 total citations
39 papers, 307 citations indexed

About

Marcello Traiola is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Marcello Traiola has authored 39 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 17 papers in Hardware and Architecture and 7 papers in Artificial Intelligence. Recurrent topics in Marcello Traiola's work include Low-power high-performance VLSI design (21 papers), Advancements in Semiconductor Devices and Circuit Design (13 papers) and Radiation Effects in Electronics (11 papers). Marcello Traiola is often cited by papers focused on Low-power high-performance VLSI design (21 papers), Advancements in Semiconductor Devices and Circuit Design (13 papers) and Radiation Effects in Electronics (11 papers). Marcello Traiola collaborates with scholars based in France, Italy and Germany. Marcello Traiola's co-authors include Alberto Bosio, Mario Barbareschi, A. Virazel, Patrick Girard, Ernesto Sánchez, Annachiara Ruospo, Ian O’Connor, Angeliki Kritikakou, Olivier Sentieys and Salvatore Barone and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and Computer.

In The Last Decade

Marcello Traiola

35 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcello Traiola France 10 260 112 65 22 21 39 307
Arjun Chaudhuri United States 10 233 0.9× 111 1.0× 48 0.7× 17 0.8× 11 0.5× 47 279
Annachiara Ruospo Italy 9 175 0.7× 77 0.7× 106 1.6× 40 1.8× 7 0.3× 39 253
Mohsen Raji Iran 10 254 1.0× 135 1.2× 25 0.4× 7 0.3× 20 1.0× 49 295
Mike Hutton United States 9 249 1.0× 231 2.1× 36 0.6× 9 0.4× 9 0.4× 35 300
Salvador Manich Spain 12 343 1.3× 309 2.8× 63 1.0× 11 0.5× 8 0.4× 40 407
Peter Alfke United States 6 225 0.9× 198 1.8× 38 0.6× 16 0.7× 9 0.4× 17 304
Milovan Blagojević United States 10 237 0.9× 143 1.3× 24 0.4× 14 0.6× 51 2.4× 12 320
Josie E. Rodriguez Condia Italy 9 227 0.9× 182 1.6× 43 0.7× 18 0.8× 11 0.5× 52 282
Saman Adham Canada 8 277 1.1× 198 1.8× 27 0.4× 19 0.9× 8 0.4× 22 312
Rongjian Liang United States 10 165 0.6× 122 1.1× 29 0.4× 19 0.9× 8 0.4× 35 264

Countries citing papers authored by Marcello Traiola

Since Specialization
Citations

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

Fields of papers citing papers by Marcello Traiola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcello Traiola

This figure shows the co-authorship network connecting the top 25 collaborators of Marcello Traiola. A scholar is included among the top collaborators of Marcello Traiola 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 Marcello Traiola. Marcello Traiola 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.
Traiola, Marcello, Fernando Fernandes dos Santos, Paolo Rech, et al.. (2024). Impact of High-Level Synthesis on Reliability of Artificial Neural Network Hardware Accelerators. IEEE Transactions on Nuclear Science. 71(4). 845–853. 6 indexed citations
2.
Santos, Fernando Fernandes dos, et al.. (2024). Cross-Layer Reliability Evaluation and Efficient Hardening of Large Vision Transformers Models. 1–6. 8 indexed citations
3.
Traiola, Marcello, et al.. (2024). Efficient Neural Networks: from SW optimization to specialized HW accelerators. SPIRE - Sciences Po Institutional REpository. 17–18.
4.
Traiola, Marcello, et al.. (2024). Special Session: Impact of Compiler Optimizations on the Reliability of a RISC-V-Based Core. SPIRE - Sciences Po Institutional REpository. 1–6.
5.
Ruospo, Annachiara, et al.. (2023). A Survey on Deep Learning Resilience Assessment Methodologies. Computer. 56(2). 57–66. 23 indexed citations
6.
Kritikakou, Angeliki, et al.. (2023). Impact of Transient Faults on Timing Behavior and Mitigation with Near-Zero WCET Overhead. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
7.
Traiola, Marcello, Angeliki Kritikakou, & Olivier Sentieys. (2023). harDNNing: a machine-learning-based framework for fault tolerance assessment and protection of DNNs. 1–6. 7 indexed citations
8.
Kritikakou, Angeliki, et al.. (2023). Design with low complexity fine-grained Dual Core Lock-Step (DCLS) RISC-V processors. SPIRE - Sciences Po Institutional REpository. 224–229. 6 indexed citations
9.
Traiola, Marcello, Angeliki Kritikakou, & Olivier Sentieys. (2023). A machine-learning-guided framework for fault-tolerant DNNs. 1–2. 5 indexed citations
10.
Ruospo, Annachiara, et al.. (2021). Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks. HAL (Le Centre pour la Communication Scientifique Directe). 1–5. 5 indexed citations
11.
Barone, Salvatore, Marcello Traiola, Mario Barbareschi, & Alberto Bosio. (2021). Multi-Objective Application-Driven Approximate Design Method. IEEE Access. 9. 86975–86993. 15 indexed citations
12.
Traiola, Marcello, et al.. (2021). Design Space Exploration of Approximation-Based Quadruple Modular Redundancy Circuits. HAL (Le Centre pour la Communication Scientifique Directe). 1–9. 6 indexed citations
13.
Traiola, Marcello, A. Virazel, Patrick Girard, Mario Barbareschi, & Alberto Bosio. (2020). A Survey of Testing Techniques for Approximate Integrated Circuits. Proceedings of the IEEE. 108(12). 2178–2194. 15 indexed citations
14.
Traiola, Marcello, et al.. (2020). QAMR: an Approximation-Based Fully Reliable TMR Alternative for Area Overhead Reduction. HAL (Le Centre pour la Communication Scientifique Directe). 8 indexed citations
15.
Traiola, Marcello, A. Virazel, Patrick Girard, Mario Barbareschi, & Alberto Bosio. (2020). Maximizing Yield for Approximate Integrated Circuits. HAL (Le Centre pour la Communication Scientifique Directe). 810–815. 6 indexed citations
16.
Traiola, Marcello, Alessandro Savino, & Stefano Di Carlo. (2019). Probabilistic estimation of the application-level impact of precision scaling in approximate computing applications. Microelectronics Reliability. 102. 113309–113309. 11 indexed citations
17.
Traiola, Marcello, et al.. (2018). Investigation of Mean-Error Metrics for Testing Approximate Integrated Circuits. HAL (Le Centre pour la Communication Scientifique Directe). 1–6. 7 indexed citations
18.
Traiola, Marcello, et al.. (2017). Can we Approximate the Test of Integrated Circuits?. HAL (Le Centre pour la Communication Scientifique Directe). 7 indexed citations
19.
Traiola, Marcello, A. Virazel, Patrick Girard, Mario Barbareschi, & Alberto Bosio. (2017). Towards digital circuit approximation by exploiting fault simulation. HAL (Le Centre pour la Communication Scientifique Directe). 1–7. 4 indexed citations
20.
Traiola, Marcello, et al.. (2017). Towards approximation during test of Integrated Circuits. HAL (Le Centre pour la Communication Scientifique Directe). 28–33. 11 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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