2026 Enrique S. Quintana-Ortí: 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	45	7188	6978	93	91	450	8547

Research.com Recognitions

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

Overview

Enrique S. Quintana-Ortí is affiliated with the Universitat Politècnica de València in Spain. Their research spans major areas in Computer Science and Engineering, with a primary focus on topics related to parallel computing, optimization techniques, and matrix theory.

The scientist's main fields of study include:

Computer Science
Engineering

Subfields of study representing their work are:

Hardware and Architecture
Computer Networks and Communications
Computational Theory and Mathematics
Electrical and Electronic Engineering
Artificial Intelligence

Themes frequently addressed in their publications include:

Parallel Computing and Optimization Techniques
Matrix Theory and Algorithms
Distributed and Parallel Computing Systems
Advanced Data Storage Technologies
Stochastic Gradient Optimization Techniques
Numerical Methods and Algorithms
Advanced Neural Network Applications

Enrique S. Quintana-Ortí has collaborated extensively with a network of co-authors, including:

Adrián Castelló
Héctor Martínez
Francisco D. Igual
Manuel F. Dolz
Andrés E. Tomás

Their recent publications demonstrate engagement with high performance computing software frameworks, dynamic computational workflows, and resource management in computing systems. Notable recent papers are:

"<scp>Ginkgo</scp>: A Modern Linear Operator Algebra Framework for High Performance Computing," 2022, ACM Transactions on Mathematical Software
"Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence," 2022, Future Generation Computer Systems
"DMRlib: Easy-Coding and Efficient Resource Management for Job Malleability," 2020, IEEE Transactions on Computers
"Adaptive Precision Block-Jacobi for High Performance Preconditioning in the Ginkgo Linear Algebra Software," 2021, ACM Transactions on Mathematical Software
"Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors," 2022, Journal of Parallel and Distributed Computing

The scientist frequently publishes in venues dedicated to computational science and high performance computing. Key publication venues include:

arXiv (Cornell University)
The Journal of Supercomputing
The International Journal of High Performance Computing Applications
ACM Transactions on Mathematical Software
Journal of Parallel and Distributed Computing

Best Publications

iMODS: internal coordinates normal mode analysis server

José Ramón López-Blanco;José Ignacio Aliaga;Enrique S. Quintana-Ortí;Pablo Chacón

819
Citations
rCUDA: Reducing the number of GPU-based accelerators in high performance clusters

Jose Duato;Antonio J. Pena;Federico Silla;Rafael Mayo

387
Citations
An Extension of the StarSs Programming Model for Platforms with Multiple GPUs

Eduard Ayguadé;Rosa M. Badia;Francisco D. Igual;Jesús Labarta

226
Citations
The science of deriving dense linear algebra algorithms

Paolo Bientinesi;John A. Gunnels;Margaret E. Myers;Enrique S. Quintana-Ortí

224
Citations
Solving stable generalized Lyapunov equations with the matrix sign function

Peter Benner;Peter Benner;Enrique S. Quintana-Ortí

219
Citations
Programming matrix algorithms-by-blocks for thread-level parallelism

Gregorio Quintana-Ortí;Enrique S. Quintana-Ortí;Robert A. Van De Geijn;Field G. Van Zee

194
Citations
Supermatrix out-of-order scheduling of matrix operations for SMP and multi-core architectures

Ernie Chan;Enrique S. Quintana-Orti;Gregorio Quintana-Orti;Robert van de Geijn

184
Citations
Analytical Modeling Is Enough for High-Performance BLIS

Tze Meng Low;Francisco D. Igual;Tyler M. Smith;Enrique S. Quintana-Orti

177
Citations
Solving dense linear systems on platforms with multiple hardware accelerators

Gregorio Quintana-Ortí;Francisco D. Igual;Enrique S. Quintana-Ortí;Robert A. van de Geijn

159
Citations
SuperMatrix: a multithreaded runtime scheduling system for algorithms-by-blocks

Ernie Chan;Field G. Van Zee;Paolo Bientinesi;Enrique S. Quintana-Orti

145
Citations
Evaluation and tuning of the Level 3 CUBLAS for graphics processors

S. Barrachina;M. Castillo;F.D. Igual;R. Mayo

134
Citations
The libflame Library for Dense Matrix Computations

Field G. Van Zee;Ernie Chan;Robert A. van de Geijn;Enrique S. Quintana-Ortí

130
Citations
A complete and efficient CUDA-sharing solution for HPC clusters

Antonio J. Peña;Carlos Reaño;Federico Silla;Rafael Mayo

130
Citations
Solving Dense Linear Systems on Graphics Processors

Sergio Barrachina;Maribel Castillo;Francisco D. Igual;Rafael Mayo

126
Citations
A Note On Parallel Matrix Inversion

Enrique S. Quintana;Gregorio Quintana;Xiaobai Sun;Robert vande Geijn

124
Citations
Representing linear algebra algorithms in code: the FLAME application program interfaces

Paolo Bientinesi;Enrique S. Quintana-Ortí;Robert A. van de Geijn

124
Citations
A Proposal to Extend the OpenMP Tasking Model for Heterogeneous Architectures

Eduard Ayguade;Rosa M. Badia;Daniel Cabrera;Alejandro Duran

111
Citations
Enabling CUDA acceleration within virtual machines using rCUDA

Jose Duato;Antonio J. Pena;Federico Silla;Juan C. Fernandez

110
Citations
Parallelizing dense and banded linear algebra libraries using SMPSs

Rosa M. Badia;José R. Herrero;Jesús Labarta;Josep M. Pérez

106
Citations
Extending OpenMP to survive the heterogeneous multi-core era

Eduard Ayguadé;Eduard Ayguadé;Rosa M. Badia;Rosa M. Badia;Pieter Bellens;Daniel Cabrera

105
Citations

Frequent Co-Authors

Robert A. van de Geijn The University of Texas at Austin

José Duato Universitat Politècnica de València

Jack Dongarra University of Tennessee at Knoxville

Rosa M. Badia Barcelona Supercomputing Center

Jesús Labarta Barcelona Supercomputing Center

Antonio Plaza University of Extremadura

Pavan Balaji Argonne National Laboratory

John A. Gunnels Nvidia (United States)

Joaquín Dopazo Institute of Biomedicine of Seville

Daniel Kressner École Polytechnique Fédérale de Lausanne

External Links

Personal website of Enrique S. Quintana-Ortí Google Scholar page

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