Pablo Ezzatti

684 total citations
73 papers, 360 citations indexed

About

Pablo Ezzatti is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Pablo Ezzatti has authored 73 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computational Theory and Mathematics, 36 papers in Hardware and Architecture and 16 papers in Computer Networks and Communications. Recurrent topics in Pablo Ezzatti's work include Parallel Computing and Optimization Techniques (36 papers), Matrix Theory and Algorithms (36 papers) and Model Reduction and Neural Networks (15 papers). Pablo Ezzatti is often cited by papers focused on Parallel Computing and Optimization Techniques (36 papers), Matrix Theory and Algorithms (36 papers) and Model Reduction and Neural Networks (15 papers). Pablo Ezzatti collaborates with scholars based in Uruguay, Spain and Germany. Pablo Ezzatti's co-authors include Enrique S. Quintana–Ort́ı, Martín Pedemonte, Peter Benner, A. Medina, A. Calvo Hernández, Pedro Curto-Risso, José I. Aliaga, Daniel Kreßner, Matthias Bollhöfer and Jens Saak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Conversion and Management and Computers & Operations Research.

In The Last Decade

Pablo Ezzatti

66 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pablo Ezzatti Uruguay	10	148	131	93	59	52	73	360
Salvatore Filippone Italy	13	177 1.2×	237 1.8×	187 2.0×	19 0.3×	109 2.1×	49	540
Maryam Mehri Dehnavi Canada	11	88 0.6×	121 0.9×	125 1.3×	13 0.2×	60 1.2×	35	375
Jerzy Waśniewski Denmark	10	177 1.2×	80 0.6×	69 0.7×	11 0.2×	62 1.2×	61	362
Violeta Migallón Spain	11	226 1.5×	34 0.3×	30 0.3×	17 0.3×	53 1.0×	35	328
Pasqua D’Ambra Italy	10	98 0.7×	81 0.6×	69 0.7×	17 0.3×	92 1.8×	42	257
David E. Womble United States	8	39 0.3×	102 0.8×	118 1.3×	20 0.3×	52 1.0×	27	265
Robert Heaphy United States	6	70 0.5×	228 1.7×	305 3.3×	18 0.3×	82 1.6×	12	504
Sylvain Contassot‐Vivier France	10	80 0.5×	83 0.6×	109 1.2×	10 0.2×	49 0.9×	26	291
José Penadés Spain	12	246 1.7×	34 0.3×	30 0.3×	17 0.3×	58 1.1×	36	348
Robert Preis Germany	10	54 0.4×	56 0.4×	157 1.7×	90 1.5×	17 0.3×	15	317

Countries citing papers authored by Pablo Ezzatti

Since Specialization

Citations

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

Fields of papers citing papers by Pablo Ezzatti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Ezzatti

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Ezzatti. A scholar is included among the top collaborators of Pablo Ezzatti 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 Pablo Ezzatti. Pablo Ezzatti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ezzatti, Pablo, et al.. (2024). Avoiding Training in the Platform-Aware Optimization Process for Faster DNN Latency Reduction. 311–320. 1 indexed citations

Martínez, Agustín, et al.. (2024). Leveraging index compression techniques to optimize the use of co-processors. SHILAP Revista de lepidopterología. 24(1). e01–e01. 1 indexed citations

Favaro, Federico, et al.. (2023). Optimizing the Performance of the Sparse Matrix–Vector Multiplication Kernel in FPGA Guided by the Roofline Model. Micromachines. 14(11). 2030–2030. 2 indexed citations

Ezzatti, Pablo, et al.. (2023). Evaluation of architecture-aware optimization techniques for Convolutional Neural Networks. 4. 177–184. 2 indexed citations

Ezzatti, Pablo, et al.. (2023). Assessing the Performance of an Architecture-Aware Optimization Tool for Neural Networks. 1–8. 1 indexed citations

Ezzatti, Pablo, et al.. (2023). Trajectory-based Metaheuristics for Improving Sparse Matrix Storage. 1–6. 1 indexed citations

Ezzatti, Pablo, et al.. (2023). A GPU method for the analysis stage of the SPTRSV kernel. The Journal of Supercomputing. 79(13). 15051–15078. 1 indexed citations

Ezzatti, Pablo, et al.. (2022). Desarrollo del sistema de pronóstico del Río de la Plata y su Frente Marítimo: PronUy_RPFM. SHILAP Revista de lepidopterología. 9(2). 25–40.

Ezzatti, Pablo, et al.. (2022). Advancing on an efficient sparse matrix multiplication kernel for modern GPUs. Concurrency and Computation Practice and Experience. 35(20). 2 indexed citations

10.

Benner, Peter, et al.. (2021). Factorized solution of generalized stable Sylvester equations using many-core GPU accelerators. The Journal of Supercomputing. 77(9). 10152–10164. 3 indexed citations

11.

Ezzatti, Pablo, et al.. (2021). Selecting optimal SpMV realizations for GPUs via machine learning. The International Journal of High Performance Computing Applications. 35(3). 254–267. 9 indexed citations

12.

Ezzatti, Pablo, et al.. (2021). Machine learning for optimal selection of sparse triangular system solvers on GPUs. Journal of Parallel and Distributed Computing. 158. 47–55. 6 indexed citations

13.

Ezzatti, Pablo, et al.. (2019). Using analysis information in the synchronization‐free GPU solution of sparse triangular systems. Concurrency and Computation Practice and Experience. 32(10). 5 indexed citations

14.

Ezzatti, Pablo, et al.. (2018). Power‐aware computing. Concurrency and Computation Practice and Experience. 31(6). 7 indexed citations

15.

Benner, Peter, et al.. (2013). Trading Off Performance for Power-Energy in Dense Linear Algebra Operations. MPG.PuRe (Max Planck Society). 158–166. 2 indexed citations

16.

Ezzatti, Pablo, et al.. (2013). Accelerating the Lyapack library using GPUs. The Journal of Supercomputing. 65(3). 1114–1124. 7 indexed citations

17.

Benner, Peter, et al.. (2012). High Performance Implementations of the BST Method on Hybrid CPU-GPU Platforms. 11. 662–668. 1 indexed citations

18.

Ezzatti, Pablo, Mónica Fossati, & Ismael Piedra-Cueva. (2011). An efficient version of the RMA-11 model. SHILAP Revista de lepidopterología. 14(2). 3 indexed citations

19.

Ezzatti, Pablo, et al.. (2011). Using graphics processors to accelerate the computation of the matrix inverse. The Journal of Supercomputing. 58(3). 429–437. 17 indexed citations

20.

Benner, Peter, et al.. (2010). A mixed-precision algorithm for the solution of Lyapunov equations on hybrid CPU–GPU platforms. Parallel Computing. 37(8). 439–450. 29 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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