Andrés E. Tomás

40 papers receiving 288 citations

Peers

Andrés E. Tomás
Comparison fields: 5 of 50
  • Computational Mathematics 8
  • Hardware and Architecture 92
  • Computational Theory and Mathematics 109
  • Computer Networks and Communications 87
  • Numerical Analysis 17
Replace Serge G. Petiton with:
Serge G. Petiton France
Terry Cojean Germany
Mawussi Zounon United Kingdom
Goran Flegar Spain
Moritz Kreutzer Germany
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Citations per field
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Citations per year

Countries citing papers authored by Andrés E. Tomás

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201860
2 200738
3
A robust and efficient parallel SVD solver based on restarted Lanczos bidiagonalization.
200721
4 201919
5 201714
6 202214
7 201612
8 202112
9 20228
10 20178
11 20137
12 20126
13 20226
14 20175
15
A Parallel Variant of the Gram-Schmidt Process with Reorthogonalization.
20055
16 20175
17 20155
18 20234
19 20174
20 20184

About Andrés E. Tomás

Andrés E. Tomás is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence and Numerical Analysis, having authored 42 papers that have together received 293 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Matrix Theory and Algorithms (15 papers), Opportunistic and Delay-Tolerant Networks (6 papers), Electromagnetic Scattering and Analysis (5 papers), Mobile Ad Hoc Networks (5 papers), Error Correcting Code Techniques (4 papers), Advanced Neural Network Applications (4 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Computational Mathematics (8 citations), Hardware and Architecture (92 citations), Computational Theory and Mathematics (109 citations), Computer Networks and Communications (87 citations) and Numerical Analysis (17 citations). Andrés E. Tomás has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Vicente Hernández, José E. Román, Enrique S. Quintana–Ort́ı, Pietro Manzoni, Enrique Hernández‐Orallo, A. Cristiano I. Malossi, Juan‐Carlos Cano, Carlos T. Calafate, Giuseppe Tagliavini and Anca M. Molnos. Their work appears in journals such as Parallel Computing, The International Journal of High Performance Computing Applications, Journal of Systems Architecture, BMC Bioinformatics and Numerical Algorithms.

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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