Enrico Mezzetti

1.1k total citations
55 papers, 401 citations indexed

About

Enrico Mezzetti is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Enrico Mezzetti has authored 55 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Hardware and Architecture, 24 papers in Computer Networks and Communications and 9 papers in Computational Theory and Mathematics. Recurrent topics in Enrico Mezzetti's work include Real-Time Systems Scheduling (43 papers), Parallel Computing and Optimization Techniques (24 papers) and Embedded Systems Design Techniques (22 papers). Enrico Mezzetti is often cited by papers focused on Real-Time Systems Scheduling (43 papers), Parallel Computing and Optimization Techniques (24 papers) and Embedded Systems Design Techniques (22 papers). Enrico Mezzetti collaborates with scholars based in Spain, Italy and Netherlands. Enrico Mezzetti's co-authors include Jaume Abella, Francisco J. Cazorla, Tullio Vardanega, Leonidas Kosmidis, Carles Hernández, Eduardo Quiñones, Mikel Azkarate-Askasua, Jon Pérez, Guillem Bernat and A. Colin and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Computer.

In The Last Decade

Enrico Mezzetti

45 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enrico Mezzetti Spain 12 306 141 82 54 42 55 401
Yuanrui Zhang United States 12 251 0.8× 232 1.6× 69 0.8× 41 0.8× 34 0.8× 43 362
Luca Santinelli France 14 531 1.7× 197 1.4× 80 1.0× 43 0.8× 115 2.7× 43 581
Kim Grüttner Germany 9 215 0.7× 92 0.7× 62 0.8× 31 0.6× 28 0.7× 62 287
Andrea Domenici Italy 10 156 0.5× 73 0.5× 182 2.2× 29 0.5× 62 1.5× 43 329
Dirk Ziegenbein Germany 15 490 1.6× 217 1.5× 42 0.5× 60 1.1× 153 3.6× 61 591
Federico Reghenzani Italy 11 192 0.6× 139 1.0× 70 0.9× 19 0.4× 14 0.3× 33 296
Georg von der Brüggen Germany 13 439 1.4× 301 2.1× 33 0.4× 31 0.6× 114 2.7× 50 527
Kai Lampka Switzerland 12 279 0.9× 165 1.2× 43 0.5× 30 0.6× 123 2.9× 28 368
G. Grünsteidl Austria 6 448 1.5× 379 2.7× 48 0.6× 37 0.7× 173 4.1× 9 544
Unmesh D. Bordoloi Sweden 12 386 1.3× 225 1.6× 84 1.0× 25 0.5× 114 2.7× 38 463

Countries citing papers authored by Enrico Mezzetti

Since Specialization
Citations

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

Fields of papers citing papers by Enrico Mezzetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Mezzetti

This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Mezzetti. A scholar is included among the top collaborators of Enrico Mezzetti 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 Enrico Mezzetti. Enrico Mezzetti 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.
Mezzetti, Enrico, et al.. (2025). Probabilistic Timing Estimates in Scenarios Under Testing Constraints. QRU Quaderns de Recerca en Urbanisme. 560–569.
2.
Hernández, Carles, et al.. (2023). Accurately Measuring Contention in Mesh NoCs in Time-Sensitive Embedded Systems. ACM Transactions on Design Automation of Electronic Systems. 28(3). 1–34. 1 indexed citations
3.
Mezzetti, Enrico, et al.. (2023). ASCOM: Affordable Sequence-aware COntention Modeling in Crossbar-based MPSoCs. UPCommons institutional repository (Universitat Politècnica de Catalunya). 471–474.
4.
Mezzetti, Enrico, et al.. (2023). On Neural Networks Redundancy and Diversity for Their Use in Safety-Critical Systems. Computer. 56(5). 41–50. 4 indexed citations
5.
Kosmidis, Leonidas, et al.. (2022). Vector Extensions in COTS Processors to Increase Guaranteed Performance in Real-Time Systems. ACM Transactions on Embedded Computing Systems. 22(2). 1–26. 4 indexed citations
6.
Abella, Jaume, et al.. (2021). Leveraging Hardware QoS to Control Contention in the Xilinx Zynq UltraScale+ MPSoC. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 196. 26. 10 indexed citations
7.
Girbal, Sylvain, et al.. (2020). Tracing Hardware Monitors in the GR712RC Multicore Platform: Challenges and Lessons Learnt from a Space Case Study. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 165. 1 indexed citations
8.
Mezzetti, Enrico, et al.. (2020). HRM: Merging Hardware Event Monitors for Improved Timing Analysis of Complex MPSoCs. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(11). 3662–3673. 4 indexed citations
9.
Kosmidis, Leonidas, et al.. (2019). Generating and Exploiting Deep Learning Variants to Increase Heterogeneous Resource Utilization in the NVIDIA Xavier. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 22 indexed citations
10.
Mezzetti, Enrico, et al.. (2019). Increasing the Reliability of Software Timing Analysis for Cache-Based Processors. IEEE Transactions on Computers. 68(6). 836–851. 3 indexed citations
11.
Mezzetti, Enrico, et al.. (2019). ePAPI: Performance Application Programming Interface for Embedded Platforms. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations
12.
Abella, Jaume, Enrico Mezzetti, & Francisco J. Cazorla. (2019). On assessing the viability of probabilistic scheduling with dependent tasks. QRU Quaderns de Recerca en Urbanisme. 625–634. 1 indexed citations
13.
Cazorla, Francisco J., Jaume Abella, Carles Hernández, et al.. (2018). Fitting Software Execution-Time Exceedance into a Residual Random Fault in ISO-26262. IEEE Transactions on Reliability. 67(3). 1314–1327. 6 indexed citations
14.
Hernández, Carles, et al.. (2018). NoCo: ILP-Based Worst-Case Contention Estimation for Mesh Real-Time Manycores. QRU Quaderns de Recerca en Urbanisme. 41. 265–276. 7 indexed citations
15.
Cazorla, Francisco J., Jaume Abella, Enrico Mezzetti, et al.. (2017). Reconciling Time Predictability and Performance in Future Computing Systems. IEEE Design and Test. 35(2). 48–56. 3 indexed citations
16.
Mezzetti, Enrico, et al.. (2015). EPC: Extended Path Coverage for Measurement-Based Probabilistic Timing Analysis. UPCommons institutional repository (Universitat Politècnica de Catalunya). 338–349. 15 indexed citations
17.
Mezzetti, Enrico, et al.. (2014). Putting RUN into Practice: Implementation and Evaluation. Padua Research Archive (University of Padova). 75–84. 11 indexed citations
18.
Mezzetti, Enrico, et al.. (2013). Limited preemptive scheduling of non-independent task sets. 18. 3 indexed citations
19.
Mezzetti, Enrico, et al.. (2013). Kernel-level time composability for avionics applications. Research Padua Archive (University of Padua). 1552–1554. 1 indexed citations
20.
Mezzetti, Enrico. (1999). Uso legittimo delle armi. Iris (Roma Tre University). 124–142.

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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