Francisco J. Cazorla

6.0k total citations
235 papers, 3.4k citations indexed

About

Francisco J. Cazorla is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Francisco J. Cazorla has authored 235 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 214 papers in Hardware and Architecture, 113 papers in Computer Networks and Communications and 46 papers in Electrical and Electronic Engineering. Recurrent topics in Francisco J. Cazorla's work include Parallel Computing and Optimization Techniques (157 papers), Real-Time Systems Scheduling (140 papers) and Embedded Systems Design Techniques (94 papers). Francisco J. Cazorla is often cited by papers focused on Parallel Computing and Optimization Techniques (157 papers), Real-Time Systems Scheduling (140 papers) and Embedded Systems Design Techniques (94 papers). Francisco J. Cazorla collaborates with scholars based in Spain, United States and Italy. Francisco J. Cazorla's co-authors include Jaume Abella, Mateo Valero, Eduardo Quiñones, Leonidas Kosmidis, Marco Paolieri, Tullio Vardanega, Guillem Bernat, Roberto Gioiosa, Miquel Moretó and Carles Hernández and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and ACM Computing Surveys.

In The Last Decade

Francisco J. Cazorla

222 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francisco J. Cazorla Spain 32 2.9k 1.8k 590 410 244 235 3.4k
Jaume Abella Spain 24 1.9k 0.7× 937 0.5× 1.1k 1.9× 94 0.2× 254 1.0× 240 2.6k
C.M. Krishna United States 23 1.2k 0.4× 901 0.5× 783 1.3× 130 0.3× 146 0.6× 119 1.9k
Giuseppe Lipari Italy 30 3.1k 1.1× 2.1k 1.1× 249 0.4× 282 0.7× 140 0.6× 146 3.7k
Sang Lyul Min South Korea 31 2.4k 0.8× 2.7k 1.5× 385 0.7× 404 1.0× 291 1.2× 104 3.7k
William Fornaciari Italy 22 1.3k 0.4× 866 0.5× 664 1.1× 186 0.5× 181 0.7× 204 1.8k
Per Stenström Sweden 24 3.0k 1.0× 2.2k 1.2× 334 0.6× 360 0.9× 302 1.2× 130 3.3k
Marc Geilen Netherlands 26 2.1k 0.7× 1.6k 0.9× 303 0.5× 92 0.2× 212 0.9× 178 2.8k
Binoy Ravindran United States 23 1.2k 0.4× 1.6k 0.9× 266 0.5× 428 1.0× 223 0.9× 216 2.1k
Hiroto Yasuura Japan 22 1.2k 0.4× 703 0.4× 1.1k 1.9× 175 0.4× 204 0.8× 164 2.1k
Soonhoi Ha South Korea 27 1.9k 0.6× 1.4k 0.8× 426 0.7× 114 0.3× 154 0.6× 217 2.4k

Countries citing papers authored by Francisco J. Cazorla

Since Specialization
Citations

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

Fields of papers citing papers by Francisco J. Cazorla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisco J. Cazorla. 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 Francisco J. Cazorla. The network helps show where Francisco J. Cazorla may publish in the future.

Co-authorship network of co-authors of Francisco J. Cazorla

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco J. Cazorla. A scholar is included among the top collaborators of Francisco J. Cazorla 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 Francisco J. Cazorla. Francisco J. Cazorla 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.
Hassan, Mohamed, et al.. (2023). Tracking Coherence-Related Contention Delays in Real-Time Multicore Systems. QRU Quaderns de Recerca en Urbanisme. 461–470. 1 indexed citations
3.
Abella, Jaume, et al.. (2023). Dynamic and execution views to improve validation, testing, and optimization of autonomous driving software. Software Quality Journal. 31(2). 405–439.
4.
Pérez, Jon, Jaume Abella, Markus Borg, et al.. (2023). Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey. ACM Computing Surveys. 56(7). 1–40. 49 indexed citations
5.
Pérez, Jon, Francisco J. Cazorla, & Jaume Abella. (2023). Uncertainty Management in Dependable and Intelligent Embedded Software. Computer. 56(3). 114–117. 2 indexed citations
6.
Pérez, Jon, et al.. (2022). A Methodology for Selective Protection of Matrix Multiplications: A Diagnostic Coverage and Performance Trade-off for CNNs Executed on GPUs. QRU Quaderns de Recerca en Urbanisme. 9–18. 1 indexed citations
7.
Pérez, Jon, et al.. (2022). GPU Devices for Safety-Critical Systems: A Survey. ACM Computing Surveys. 55(7). 1–37. 21 indexed citations
8.
Pérez, Jon, et al.. (2022). On the Safe Deployment of Matrix Multiplication in Massively Parallel Safety-Related Systems. Applied Sciences. 12(8). 3779–3779. 2 indexed citations
9.
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
10.
Abella, Jaume, et al.. (2021). ADBench: benchmarking autonomous driving systems. Computing. 104(3). 481–502. 2 indexed citations
11.
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
12.
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
13.
Pérez, Jon, et al.. (2020). Multi-core Devices for Safety-critical Systems. ACM Computing Surveys. 53(4). 1–38. 42 indexed citations
14.
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
15.
Hernández, Carles, et al.. (2019). Worst-Case Energy Consumption: A New Challenge for Battery-Powered Critical Devices. IEEE Transactions on Sustainable Computing. 6(3). 522–530. 4 indexed citations
16.
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
17.
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
18.
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
19.
Kosmidis, Leonidas, Charlie Curtsinger, Eduardo Quiñones, et al.. (2013). Probabilistic timing analysis on conventional cache designs. Design, Automation, and Test in Europe. 603–606. 33 indexed citations
20.
Gioiosa, Roberto, et al.. (2008). A dynamic scheduler for balancing HPC applications. IEEE International Conference on High Performance Computing, Data, and Analytics. 41. 36 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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