Pedro Alonso

897 total citations
92 papers, 546 citations indexed

About

Pedro Alonso is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Pedro Alonso has authored 92 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Hardware and Architecture, 30 papers in Computer Networks and Communications and 30 papers in Computational Theory and Mathematics. Recurrent topics in Pedro Alonso's work include Parallel Computing and Optimization Techniques (41 papers), Matrix Theory and Algorithms (26 papers) and Distributed and Parallel Computing Systems (20 papers). Pedro Alonso is often cited by papers focused on Parallel Computing and Optimization Techniques (41 papers), Matrix Theory and Algorithms (26 papers) and Distributed and Parallel Computing Systems (20 papers). Pedro Alonso collaborates with scholars based in Spain, Germany and Ireland. Pedro Alonso's co-authors include Enrique S. Quintana–Ort́ı, Manuel F. Dolz, José Ranilla, Rafael Mayo, J. Vigo‐Aguiar, Emilio Defez, Antonio M. Vidal, Javier Ibáñez, Luis J. Rodrı́guez-Muñiz and Jorge Sastre and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Construction and Building Materials.

In The Last Decade

Pedro Alonso

85 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Alonso Spain 12 195 184 117 102 68 92 546
Chris Phillips United Kingdom 11 46 0.2× 29 0.2× 47 0.4× 88 0.9× 55 0.8× 41 495
Helmar Burkhart Switzerland 8 202 1.0× 237 1.3× 47 0.4× 52 0.5× 67 1.0× 29 371
Nicole Garner Germany 8 469 2.4× 461 2.5× 174 1.5× 32 0.3× 71 1.0× 10 703
Reiji Suda Japan 12 137 0.7× 132 0.7× 53 0.5× 36 0.4× 95 1.4× 53 386
Berger Germany 3 261 1.3× 190 1.0× 66 0.6× 60 0.6× 43 0.6× 7 469
Robert Heaphy United States 6 305 1.6× 228 1.2× 72 0.6× 70 0.7× 37 0.5× 12 504
Randall Bramley United States 16 618 3.2× 217 1.2× 262 2.2× 87 0.9× 148 2.2× 43 929
Mohamed Wahib Japan 12 122 0.6× 124 0.7× 41 0.4× 51 0.5× 139 2.0× 55 403
Arch D. Robison United States 8 219 1.1× 231 1.3× 78 0.7× 58 0.6× 74 1.1× 18 424
Eunice E. Santos United States 8 472 2.4× 359 2.0× 93 0.8× 71 0.7× 128 1.9× 37 653

Countries citing papers authored by Pedro Alonso

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Alonso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Alonso

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Alonso. A scholar is included among the top collaborators of Pedro Alonso 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 Pedro Alonso. Pedro Alonso 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.
Alonso, Pedro, et al.. (2025). The evolution of high-performance computing: how AI and quantum computing are reshaping supercomputing. The Journal of Supercomputing. 81(5). 1 indexed citations
2.
Castelló, Adrián, et al.. (2024). Automatic generation of ARM NEON micro-kernels for matrix multiplication. The Journal of Supercomputing. 80(10). 13873–13899. 2 indexed citations
3.
4.
Alonso, Pedro, et al.. (2023). Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics. Journal of Grid Computing. 21(1). 3 indexed citations
5.
Castelló, Adrián, et al.. (2023). Algorithm 1039: Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM. ACM Transactions on Mathematical Software. 50(1). 1–34. 2 indexed citations
6.
Alonso, Pedro, et al.. (2023). Parallel border tracking in binary images for multicore computers. The Journal of Supercomputing. 79(9). 9915–9931. 1 indexed citations
7.
Dolz, Manuel F., et al.. (2023). Efficient and portable Winograd convolutions for multi-core processors. The Journal of Supercomputing. 79(10). 10589–10610. 2 indexed citations
8.
Alonso, Pedro, et al.. (2023). Leveraging an open source serverless framework for high energy physics computing. The Journal of Supercomputing. 79(8). 8940–8965. 1 indexed citations
9.
Vecil, Francesco, José M. Mantas, & Pedro Alonso. (2023). Efficient GPU implementation of a Boltzmann-Schrödinger-Poisson solver for the simulation of nanoscale DG MOSFETs. The Journal of Supercomputing. 79(12). 13370–13401.
10.
Alonso, Pedro, Davor Davidović, Marin Sapunar, José R. Herrero, & Enrique S. Quintana–Ort́ı. (2020). Efficient update of determinants for many-electron wave function overlaps. Computer Physics Communications. 258. 107521–107521. 2 indexed citations
11.
Kovács, György, et al.. (2019). Author Profiling Using Semantic and Syntactic Features : Notebook for PAN at CLEF 2019. SZTE Publicatio Repozitórium (University of Szeged). 2 indexed citations
12.
Sastre, Jorge, et al.. (2019). Fast Taylor polynomial evaluation for the computation of the matrix cosine. Journal of Computational and Applied Mathematics. 354. 641–650. 7 indexed citations
13.
Defez, Emilio, et al.. (2017). A new efficient and accurate spline algorithm for the matrix exponential computation. Journal of Computational and Applied Mathematics. 337. 354–365. 6 indexed citations
14.
Alonso, Pedro, et al.. (2016). Efficient and accurate algorithms for computing matrix trigonometric functions. Journal of Computational and Applied Mathematics. 309. 325–332. 10 indexed citations
15.
Alonso, Pedro, et al.. (2014). El uso de los juegos como recurso didáctico para la enseñanza y el aprendizaje de las Matemáticas: estudio de una experiencia innovadora. The International Islamic University Malaysia Repository (The International Islamic University Malaysia). 19–33. 7 indexed citations
16.
González, Alberto, Jose A. Belloch, Gema Piñero, et al.. (2012). Application of Multi-core and GPU Architectures on Signal Processing: Case Studies. Repositori UJI (Universitat Jaume I).
17.
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
18.
González, Alberto, et al.. (2010). The Impact of the Multi-core Revolution on Signal Processing. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 3 indexed citations
19.
Reddy, Ravi, Alexey Lastovetsky, & Pedro Alonso. (2009). HeteroPBLAS: A Set of Parallel Basic Linear Algebra Subprograms Optimized for Heterogeneous Computational Clusters. Scalable Computing Practice and Experience. 10(2). 2 indexed citations
20.
Alonso, Pedro, et al.. (2006). Sequential and Parallel Algorithms for the Inverse Toeplitz Singular Value Problem.. 104(10). 91–96. 5 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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