Andrés E. Tomás
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Parallel Computing and Optimization Techniques 13
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- Matrix Theory and Algorithms 11
- Co-authors
- José E. Román (3 shared papers)Vicente Hernández (3 shared papers)Enrique S. Quintana–Ort́ı (14 shared papers)A. Cristiano I. Malossi (2 shared papers)Pietro Manzoni (7 shared papers)Dimitrios S. Nikolopoulos (1 shared paper)Juan‐Carlos Cano (7 shared papers)L. Gammaitoni (1 shared paper)
- Journals
- The International Journal of High Performance Computing Applications (2 papers)Journal of Systems Architecture (2 papers)Parallel Computing (2 papers)Information Sciences (1 paper)ACM Transactions on Mathematical Software (1 paper)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Andrés E. Tomás
33 papers receiving 227 citations
Peers
Comparison fields: 5 of 55
- Hardware and Architecture 64
- Computational Mathematics 5
- Computational Theory and Mathematics 74
- Computer Networks and Communications 59
- Numerical Analysis 13
Countries citing papers authored by Andrés E. Tomás
This map shows the geographic impact of Andrés E. Tomás'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 Andrés E. Tomás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrés E. Tomás more than expected).
Fields of papers citing papers by Andrés E. Tomás
This network shows the impact of papers produced by Andrés E. Tomás. 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 Andrés E. Tomás. The network helps show where Andrés E. Tomás may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrés E. Tomás, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 45 | |
| 2 | 2007 | 30 | |
| 3 | A robust and efficient parallel SVD solver based on restarted Lanczos bidiagonalization. | 2007 | 22 |
| 4 | 1997 | 16 | |
| 5 | 2019 | 14 | |
| 6 | 2017 | 12 | |
| 7 | 2021 | 11 | |
| 8 | 2022 | 11 | |
| 9 | 2016 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2012 | 5 | |
| 13 | 2017 | 5 | |
| 14 | 2017 | 4 | |
| 15 | 2015 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2005 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2013 | 3 | |
| 20 | 2017 | 3 |
About Andrés E. Tomás
Andrés E. Tomás is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications and Molecular Biology, having authored 34 papers that have together received 234 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Matrix Theory and Algorithms (11 papers), Genomics and Phylogenetic Studies (4 papers), Advanced Neural Network Applications (4 papers), Electromagnetic Scattering and Analysis (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Algorithms and Data Compression (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). The work is most often cited by research in Hardware and Architecture (64 citations), Computational Mathematics (5 citations), Computational Theory and Mathematics (74 citations), Computer Networks and Communications (59 citations) and Numerical Analysis (13 citations). Andrés E. Tomás has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include José E. Román, Vicente Hernández, Enrique S. Quintana–Ort́ı, A. Cristiano I. Malossi, Pietro Manzoni, Dimitrios S. Nikolopoulos, Juan‐Carlos Cano, L. Gammaitoni, Andrew Emerson and Enrique Hernández‐Orallo. Their work appears in journals such as The International Journal of High Performance Computing Applications, Journal of Systems Architecture, Parallel Computing, Information Sciences and ACM Transactions on Mathematical Software.
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.