2026 Francisco J. Cazorla: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	46	6922	6720	90	88	276	7259

Research.com Recognitions

2025 - Research.com Computer Science in Spain Leader Award
2022 - Research.com Computer Science in Spain Leader Award

Overview

Francisco J. Cazorla is affiliated with the Barcelona Supercomputing Center in Spain. Their research spans several significant fields and subfields within computer science and engineering, focusing extensively on hardware, architecture, and system-level computing.

The primary fields of study for Francisco J. Cazorla include:

Computer Science
Engineering

Within these disciplines, their work particularly concentrates on the following subfields:

Hardware and Architecture
Electrical and Electronic Engineering
Computer Networks and Communications
Artificial Intelligence
Software

The main topics covered in their research output encompass:

Real-Time Systems Scheduling
Parallel Computing and Optimization Techniques
Embedded Systems Design Techniques
Radiation Effects in Electronics
Interconnection Networks and Systems
Adversarial Robustness in Machine Learning
Software Reliability and Analysis Research

Francisco J. Cazorla has contributed important work published in several frequent venues, including:

ACM Computing Surveys
Journal of Systems Architecture
Computer
arXiv (Cornell University)
Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Notable recent publications authored or co-authored by Francisco J. Cazorla include:

Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey (2023, ACM Computing Surveys)
Multi-core Devices for Safety-critical Systems (2020, ACM Computing Surveys)
GPU Devices for Safety-Critical Systems: A Survey (2022, ACM Computing Surveys)
Performance Analysis and Optimization Opportunities for NVIDIA Automotive GPUs (2021, Journal of Parallel and Distributed Computing)
GPU4S: Embedded GPUs in space - Latest project updates (2020, Microprocessors and Microsystems)

The frequent co-authors collaborating with Francisco J. Cazorla include:

Jaume Abella
Leonidas Kosmidis
Enrico Mezzetti
Jon Pérez
Hamid Tabani

Best Publications

Hardware support for WCET analysis of hard real-time multicore systems

Marco Paolieri;Eduardo Quiñones;Francisco J. Cazorla;Guillem Bernat

344
Citations
Measurement-Based Probabilistic Timing Analysis for Multi-path Programs

Liliana Cucu-Grosjean;Luca Santinelli;Michael Houston;Code Lo

325
Citations
Dynamically Controlled Resource Allocation in SMT Processors

Francisco J. Cazorla;Alex Ramirez;Mateo Valero;Enrique Fernandez

251
Citations
Merasa: Multicore Execution of Hard Real-Time Applications Supporting Analyzability

T Ungerer;Francisco J Cazorla;P Sainrat;G Bernat

234
Citations
PROARTIS: Probabilistically Analyzable Real-Time Systems

Francisco J. Cazorla;Eduardo Quiñones;Tullio Vardanega;Liliana Cucu

209
Citations
An Analyzable Memory Controller for Hard Real-Time CMPs

M. Paolieri;E. Quinones;F.J. Cazorla;M. Valero

206
Citations
Multicore Resource Management

K.J. Nesbit;M. Moreto;F.J. Cazorla;A. Ramirez

149
Citations
WCET analysis methods: Pitfalls and challenges on their trustworthiness

Jaume Abella;Carles Hernandez;Eduardo Quinones;Francisco J. Cazorla

145
Citations
Predictable performance in SMT processors: synergy between the OS and SMTs

F.J. Cazorla;P.M.W. Knijnenburg;R. Sakellariou;E. Fernandez

132
Citations
A cache design for probabilistically analysable real-time systems

Leonidas Kosmidis;Jaume Abella;Eduardo Quinones;Francisco J. Cazorla

124
Citations
On the evaluation of the impact of shared resources in multithreaded COTS processors in time-critical environments

Petar Radojković;Sylvain Girbal;Arnaud Grasset;Eduardo Quiñones

118
Citations
Measurement-based probabilistic timing analysis: Lessons from an integrated-modular avionics case study

Franck Wartel;Leonidas Kosmidis;Code Lo;Benoit Triquet

107
Citations
PROARTIS: Probabilistically Analysable Real-Time Systems

Francisco J. Cazorla;Eduardo Quinones;Tullio Vardanega;Liliana Cucu-Grosjean

95
Citations
M R M

Kyle J. Nesbit;James E. Smith;Miquel Moreto;Francisco J. Cazorla

94
Citations
On the Comparison of Deterministic and Probabilistic WCET Estimation Techniques

Jaume Abella;Damien Hardy;Isabelle Puaut;Eduardo Quinones

91
Citations
Kilo-instruction processors: overcoming the memory wall

A. Cristal;O.J. Santana;F. Cazorla;M. Galluzzi

90
Citations
Upper-bounding Program Execution Time with Extreme Value Theory

Francisco J. Cazorla;Tullio Vardanega;Eduardo Quiñones;Jaume Abella

89
Citations
Assessing the suitability of the NGMP multi-core processor in the space domain

Mikel Fernández;Roberto Gioiosa;Eduardo Quiñones;Luca Fossati

88
Citations
Predictable performance in SMT processors

Francisco J. Cazorla;Peter M.W. Knijnenburg;Rizos Sakellariou;Enrique Fernández

84
Citations
Adapting cache partitioning algorithms to pseudo-LRU replacement policies

Kamil Kedzierski;Miquel Moreto;Francisco J. Cazorla;Mateo Valero

80
Citations
Proceedings of the International Conference on Supercomputing

William D. Gropp;Pete Beckman;Zhiyuan Li;Francisco J. Cazorla

34
Citations

Frequent Co-Authors

Mateo Valero Barcelona Supercomputing Center

Alex Ramirez Google (United States)

Rizos Sakellariou University of Manchester

Alper Buyuktosunoglu IBM (United States)

Pradip Bose IBM (United States)

Mario Nemirovsky Barcelona Supercomputing Center

Emery D. Berger University of Massachusetts Amherst

Sally A. McKee Chalmers University of Technology

James E. Smith University of Wisconsin–Madison

Gerard J. M. Smit University of Twente

External Links

Personal website of Francisco J. Cazorla Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

If you’re considering a future in Computer Science, exploring related online degrees and career pathways can expand your options. The demand for tech-savvy professionals continues to rise, and several online programs now offer flexibility and affordability for students worldwide.

Many students begin by researching the computer science degree online to gain programming and analytical skills at their own pace. Alternatively, engineering fields also offer excellent prospects. Pursuing an online degree in mechanical engineering or an environmental engineering degree online can open doors in emerging fields such as robotics, sustainability, and green technology.

Graduates from these programs can access high-paying jobs with environmental science degree backgrounds, or roles in engineering, software development, data analysis, and beyond. As technology and environmental challenges converge, these flexible, online pathways ensure you can adapt your skills to meet rapidly evolving industry needs.