Rafael Mayo

2.4k total citations
116 papers, 1.4k citations indexed

About

Rafael Mayo is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Rafael Mayo has authored 116 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Hardware and Architecture, 52 papers in Computer Networks and Communications and 33 papers in Information Systems. Recurrent topics in Rafael Mayo's work include Parallel Computing and Optimization Techniques (59 papers), Cloud Computing and Resource Management (33 papers) and Distributed and Parallel Computing Systems (32 papers). Rafael Mayo is often cited by papers focused on Parallel Computing and Optimization Techniques (59 papers), Cloud Computing and Resource Management (33 papers) and Distributed and Parallel Computing Systems (32 papers). Rafael Mayo collaborates with scholars based in Spain, United States and Germany. Rafael Mayo's co-authors include Enrique S. Quintana–Ort́ı, Antonio J. Peña, J. Duato, Federico Silla, Francisco D. Igual, M. Ortiz, Manuel F. Dolz, Maribel Castillo, Sergio Barrachina and K. Blagoev and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Physical Review A and IEEE Access.

In The Last Decade

Rafael Mayo

108 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafael Mayo Spain 17 795 740 549 170 164 116 1.4k
Antoine Petitet United States 17 1.6k 2.0× 1.7k 2.3× 365 0.7× 123 0.7× 21 0.1× 28 2.6k
Fred T. Krogh United States 12 404 0.5× 573 0.8× 83 0.2× 105 0.6× 22 0.1× 42 1.5k
Jaeyoung Choi South Korea 16 722 0.9× 721 1.0× 136 0.2× 102 0.6× 17 0.1× 111 1.3k
Hatem Ltaief Saudi Arabia 20 708 0.9× 904 1.2× 154 0.3× 192 1.1× 10 0.1× 104 1.6k
Emmanuel Agullo France 14 403 0.5× 481 0.7× 99 0.2× 90 0.5× 14 0.1× 34 727
Gengbin Zheng United States 18 1.0k 1.3× 835 1.1× 305 0.6× 35 0.2× 16 0.1× 40 1.4k
Azzam Haidar United States 19 469 0.6× 692 0.9× 106 0.2× 104 0.6× 10 0.1× 79 1.2k
Masha Sosonkina United States 16 235 0.3× 297 0.4× 136 0.2× 214 1.3× 27 0.2× 107 975
R. Clint Whaley United States 10 999 1.3× 1.3k 1.8× 206 0.4× 39 0.2× 6 0.0× 19 1.8k
Sameer Shende United States 13 1.1k 1.4× 933 1.3× 351 0.6× 23 0.1× 6 0.0× 67 1.7k

Countries citing papers authored by Rafael Mayo

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Mayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Mayo

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

All Works

20 of 20 papers shown
1.
Aliaga, José I., et al.. (2023). Dynamic spawning of MPI processes applied to malleability. The International Journal of High Performance Computing Applications. 38(2). 69–93. 5 indexed citations
2.
Aliaga, José I., et al.. (2022). A Survey on Malleability Solutions for High-Performance Distributed Computing. Applied Sciences. 12(10). 5231–5231. 8 indexed citations
3.
Catalán, Sandra, et al.. (2016). Architecture-aware configuration and scheduling of matrix multiplication on asymmetric multicore processors. Cluster Computing. 19(3). 1037–1051. 13 indexed citations
4.
Aliaga, José I., José M. Badía, Maribel Castillo, et al.. (2014). Out‐of‐core macromolecular simulations on multithreaded architectures. Concurrency and Computation Practice and Experience. 27(6). 1540–1550. 1 indexed citations
5.
Catalán, Sandra, Jorge González‐Domínguez, Rafael Mayo, & Enrique S. Quintana–Ort́ı. (2014). Analyzing the Energy Efficiency of the Memory Subsystem in Multicore Processors. 10–17. 3 indexed citations
6.
Alonso, Pedro, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, & Enrique S. Quintana–Ort́ı. (2012). Reducing Energy Consumption of Dense Linear Algebra Operations on Hybrid CPU-GPU Platforms. 56–62. 12 indexed citations
7.
Dolz, Manuel F., et al.. (2012). A simulator to assess energy saving strategies and policies in HPC workloads. ACM SIGOPS Operating Systems Review. 46(2). 2–9. 3 indexed citations
8.
Anzt, Hartwig, et al.. (2011). Power Consumption of Mixed Precision in the Iterative Solution of Sparse Linear Systems. University Library Heidelberg. 5 indexed citations
9.
Anzt, Hartwig, Vincent Heuveline, José I. Aliaga, et al.. (2011). Analysis and optimization of power consumption in the iterative solution of sparse linear systems on multi-core and many-core platforms. Repository KITopen (Karlsruhe Institute of Technology). 1–6. 13 indexed citations
10.
Anzt, Hartwig, Maribel Castillo, José I. Aliaga, et al.. (2011). Analysis and Optimization of Power Consumption in the Iterative Solution of Sparse Linear Systems on Multi-core and Many-core Platforms. University Library Heidelberg. 9 indexed citations
11.
Duato, J., Francisco D. Igual, Rafael Mayo, et al.. (2010). An efficient implementation of GPU virtualization in high performance clusters. Lecture notes in computer science. 385–394. 1 indexed citations
12.
Mayo, Rafael, et al.. (2007). Applications ported to the EELA e-Infrastructure. 120. 852–857. 2 indexed citations
13.
Mayo, Rafael, Juan Campos, M. Ortiz, et al.. (2006). Radiative lifetimes of Zr III excited levels. The European Physical Journal D. 40(2). 169–173. 17 indexed citations
14.
Aliaga, José I., Francisco Almeida, José M. Badía, et al.. (2005). Parallelization of GSL on Clusters of Symmetric Multiprocessors. 19(1). 333–340. 1 indexed citations
15.
Biémont, Émile, et al.. (2005). Transition probabilities for lines from 4d96s, 4d95d of AgII spectrum and from 3d94d of Cu II lines. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5830. 221–221. 4 indexed citations
16.
Aliaga, José I., Francisco Almeida, José M. Badía, et al.. (2005). Parallelization of the GNU Scientific Library on Heterogeneous Systems. 61. 338–345. 3 indexed citations
17.
Blagoev, K., et al.. (2005). Radiative parameters for some transitions in Cu(II) and Ag(II) spectrum. Journal of Electron Spectroscopy and Related Phenomena. 144-147. 27–28. 5 indexed citations
18.
Ortiz, M., et al.. (2004). Transition probabilities of some Ag II and Cu II lines. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5449. 367–367. 1 indexed citations
19.
Benner, Peter, Rafael Mayo, Enrique S. Quintana–Ort́ı, & Vicente Hernández. (2002). A COARSE-GRAIN PARALLEL SOLVER FOR PERIODIC RICCATI EQUATIONS. 274–281. 1 indexed citations
20.
Benner, Peter, Rafael Mayo, Enrique S. Quintana–Ort́ı, & Vicente Hernández. (2000). Solving Discrete-Time Periodic Riccati Equations on a Cluster (Research Note). 824–828. 1 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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