Pablo Ezzatti
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Computational Mathematics top 10%
Papers in
-
- Parallel Computing and Optimization Techniques 57
-
- Matrix Theory and Algorithms 53
- Numerical Methods and Algorithms 22
- Co-authors
- Enrique S. Quintana–Ort́ı (45 shared papers)Alfredo Remón (34 shared papers)Peter Benner (27 shared papers)Martín Pedemonte (15 shared papers)José I. Aliaga (9 shared papers)Daniel Kreßner (2 shared papers)A. Medina (1 shared paper)Antonio Calvo Hernández (1 shared paper)
In The Last Decade
Pablo Ezzatti
93 papers receiving 532 citations
Peers
Comparison fields: 5 of 67
- Hardware and Architecture 220
- Computational Mathematics 13
- Computational Theory and Mathematics 247
- Statistical and Nonlinear Physics 99
- Numerical Analysis 40
Countries citing papers authored by Pablo Ezzatti
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
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.
All Works
Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 43 | |
| 2 | 2010 | 35 | |
| 3 | 2012 | 32 | |
| 4 | 2010 | 24 | |
| 5 | 2010 | 23 | |
| 6 | 2018 | 21 | |
| 7 | 2011 | 20 | |
| 8 | 2011 | 17 | |
| 9 | 2013 | 17 | |
| 10 | 2015 | 14 | |
| 11 | 2013 | 13 | |
| 12 | 2018 | 13 | |
| 13 | 2021 | 13 | |
| 14 | 2017 | 11 | |
| 15 | 2018 | 10 | |
| 16 | 2013 | 9 | |
| 17 | 2013 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2014 | 8 | |
| 20 | 2021 | 7 |
About Pablo Ezzatti
Pablo Ezzatti is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Statistical and Nonlinear Physics, Numerical Analysis and Computer Networks and Communications, having authored 106 papers that have together received 548 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (57 papers), Matrix Theory and Algorithms (53 papers), Numerical Methods and Algorithms (22 papers), Model Reduction and Neural Networks (21 papers), Distributed and Parallel Computing Systems (15 papers), Numerical methods for differential equations (12 papers), Electromagnetic Scattering and Analysis (10 papers) and Advanced Data Storage Technologies (8 papers). The work is most often cited by research in Hardware and Architecture (220 citations), Computational Mathematics (13 citations), Computational Theory and Mathematics (247 citations), Statistical and Nonlinear Physics (99 citations) and Numerical Analysis (40 citations). Pablo Ezzatti has collaborated with scholars based in Uruguay, Spain and Germany. Frequent co-authors include Enrique S. Quintana–Ort́ı, Alfredo Remón, Peter Benner, Martín Pedemonte, José I. Aliaga, Daniel Kreßner, A. Medina, Antonio Calvo Hernández, Pedro Curto-Risso and Federico Favaro. Their work appears in journals such as Parallel Computing, Lecture notes in computer science, Computer Science - Research and Development, Numerical Algorithms and Energy Conversion and Management.
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.