Pablo Ezzatti

66 papers receiving 348 citations

Peers

Pablo Ezzatti
Comparison fields: 5 of 62
  • Computational Mathematics 13
  • Hardware and Architecture 131
  • Computational Theory and Mathematics 148
  • Statistical and Nonlinear Physics 59
  • Computer Networks and Communications 93
Replace Salvatore Filippone with:
Salvatore Filippone Italy
Maryam Mehri Dehnavi Canada
Pasqua D’Ambra Italy
Padma Raghavan United States
Srikara Pranesh United Kingdom
Jerzy Waśniewski Denmark
Helmar Burkhart Switzerland
Jim Demmel United States
William L. Barth United States
Robert Heaphy United States
Pablo Ezzatti relative to Salvatore Filippone Italy Salvatore Filippone's profile →
Citations per field
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Salvatore Filippone · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Pablo Ezzatti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pablo Ezzatti Line = papers co-authored together Pablo Ezzatti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201539
2 201029
3 201224
4 201117
5 201817
6 201017
7 201116
8 201314
9 201811
10 201511
11 20219
12 20179
13 20187
14 20137
15 20137
16 20197
17 20216
18 20126
19 20186
20 20146

About Pablo Ezzatti

Pablo Ezzatti is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Computer Networks and Communications, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 73 papers that have together received 360 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (36 papers), Matrix Theory and Algorithms (36 papers), Numerical Methods and Algorithms (15 papers), Model Reduction and Neural Networks (15 papers), Distributed and Parallel Computing Systems (8 papers), Numerical methods for differential equations (6 papers), Electromagnetic Scattering and Analysis (6 papers) and Tensor decomposition and applications (5 papers). The work is most often cited by research in Computational Mathematics (13 citations), Hardware and Architecture (131 citations), Computational Theory and Mathematics (148 citations), Statistical and Nonlinear Physics (59 citations) and Computer Networks and Communications (93 citations). Pablo Ezzatti has collaborated with scholars based in Uruguay, Spain and Germany. Frequent co-authors include Enrique S. Quintana–Ort́ı, Martín Pedemonte, Peter Benner, A. Calvo Hernández, Pedro Curto-Risso, A. Medina, José I. Aliaga, Daniel Kreßner, Matthias Bollhöfer and Jens Saak. Their work appears in journals such as Parallel Computing, Energy Conversion and Management, Computers & Operations Research, The International Journal of High Performance Computing Applications and Journal of Parallel and Distributed Computing.

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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