Alejandro Rico

1.1k total citations
30 papers, 607 citations indexed

About

Alejandro Rico is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Alejandro Rico has authored 30 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 25 papers in Hardware and Architecture and 6 papers in Information Systems. Recurrent topics in Alejandro Rico's work include Parallel Computing and Optimization Techniques (25 papers), Advanced Data Storage Technologies (17 papers) and Interconnection Networks and Systems (11 papers). Alejandro Rico is often cited by papers focused on Parallel Computing and Optimization Techniques (25 papers), Advanced Data Storage Technologies (17 papers) and Interconnection Networks and Systems (11 papers). Alejandro Rico collaborates with scholars based in Spain, United States and United Kingdom. Alejandro Rico's co-authors include Alex Ramírez, Mateo Valero, Eduard Ayguadé, Jesús Labarta, Rosa M. Badía, Yoav Etsion, Felipe Cabarcas, Nikola Rajovic, Nikola Puzovic and Paul M. Walker and has published in prestigious journals such as Construction and Building Materials, IEEE Transactions on Computers and Future Generation Computer Systems.

In The Last Decade

Alejandro Rico

30 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alejandro Rico Spain 12 491 449 145 98 55 30 607
Henry Cook United States 12 510 1.0× 412 0.9× 119 0.8× 153 1.6× 79 1.4× 20 656
Marc González Spain 13 422 0.9× 375 0.8× 187 1.3× 143 1.5× 32 0.6× 47 546
Janghaeng Lee United States 10 455 0.9× 282 0.6× 100 0.7× 246 2.5× 83 1.5× 16 561
Hyun‐Wook Jin South Korea 16 522 1.1× 642 1.4× 159 1.1× 92 0.9× 32 0.6× 83 790
Yifeng Zhu United States 16 176 0.4× 618 1.4× 193 1.3× 76 0.8× 52 0.9× 65 676
Deborah T. Marr United States 7 446 0.9× 395 0.9× 80 0.6× 95 1.0× 50 0.9× 7 575
Kevin Harms United States 13 355 0.7× 696 1.6× 231 1.6× 39 0.4× 38 0.7× 43 794
Yutao Zhong United States 14 922 1.9× 886 2.0× 307 2.1× 128 1.3× 105 1.9× 29 1.1k
Shuai Mu China 12 171 0.3× 323 0.7× 130 0.9× 63 0.6× 32 0.6× 30 417
Rafael Asenjo Spain 13 274 0.6× 289 0.6× 107 0.7× 27 0.3× 69 1.3× 53 422

Countries citing papers authored by Alejandro Rico

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Rico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandro Rico

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Rico. A scholar is included among the top collaborators of Alejandro Rico 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 Alejandro Rico. Alejandro Rico 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.
Armejach, Adrià, et al.. (2023). DynAMO: Improving Parallelism Through Dynamic Placement of Atomic Memory Operations. QRU Quaderns de Recerca en Urbanisme. 1–13. 1 indexed citations
2.
Zhu, Lingjun, Xiaoqing Xu, Shidhartha Das, et al.. (2021). Power Delivery and Thermal-Aware Arm-Based Multi-Tier 3D Architecture. 1–6. 8 indexed citations
3.
Rico, Alejandro, et al.. (2020). Towards Data-Flow Parallelization for Adaptive Mesh Refinement Applications. QRU Quaderns de Recerca en Urbanisme. 314–325. 3 indexed citations
4.
Moretó, Miquel, Marc Casas, Alejandro Rico, et al.. (2019). On the maturity of parallel applications for asymmetric multi-core processors. Journal of Parallel and Distributed Computing. 127. 105–115. 7 indexed citations
5.
Carlson, Trevor E., et al.. (2018). Sampled Simulation of Task-Based Programs. IEEE Transactions on Computers. 68(2). 255–269. 3 indexed citations
6.
Rico, Alejandro, et al.. (2017). ARM HPC Ecosystem and the Reemergence of Vectors. 329–334. 18 indexed citations
7.
Biles, Stuart, Giacomo Gabrielli, Grigorios Magklis, et al.. (2017). The ARM Scalable Vector Extension. IEEE Micro. 37(2). 26–39. 167 indexed citations
8.
Rico, Alejandro, et al.. (2017). Sharing the instruction cache among lean cores on an asymmetric CMP for HPC applications. QRU Quaderns de Recerca en Urbanisme. 3–12. 2 indexed citations
9.
Armejach, Adrià, Alejandro Rico, Eduard Ayguadé, et al.. (2016). MUSA: a multi-level simulation approach for next-generation HPC machines. UPCommons institutional repository (Universitat Politècnica de Catalunya). 9 indexed citations
10.
Rico, Alejandro, et al.. (2016). TaskPoint: Sampled simulation of task-based programs. QRU Quaderns de Recerca en Urbanisme. 296–306. 14 indexed citations
11.
Rico, Alejandro, et al.. (2016). Adaptive Runtime-Assisted Block Prefetching on Chip-Multiprocessors. International Journal of Parallel Programming. 45(3). 530–550. 3 indexed citations
12.
Carpenter, Paul, et al.. (2016). Rebalancing the core front-end through HPC code analysis. QRU Quaderns de Recerca en Urbanisme. 1–10. 1 indexed citations
13.
Armejach, Adrià, Alejandro Rico, Eduard Ayguadé, et al.. (2016). MUSA: A Multi-level Simulation Approach for Next-Generation HPC Machines. 526–537. 16 indexed citations
14.
Gómez-Luna, Juan, et al.. (2016). Evaluating the effect of last-level cache sharing on integrated GPU-CPU systems with heterogeneous applications. QRU Quaderns de Recerca en Urbanisme. 1–10. 18 indexed citations
15.
Rico, Alejandro, et al.. (2015). Experiences in speeding up computer vision applications on mobile computing platforms. Edinburgh Research Explorer. 1–8. 5 indexed citations
16.
Rajovic, Nikola, et al.. (2013). Experiences with Mobile Processors for Energy Efficient HPC. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013. 464–468. 17 indexed citations
17.
Rico, Alejandro, Felipe Cabarcas, Carlos Villavieja, et al.. (2012). On the simulation of large-scale architectures using multiple application abstraction levels. ACM Transactions on Architecture and Code Optimization. 8(4). 1–20. 27 indexed citations
18.
Etsion, Yoav, Felipe Cabarcas, Alejandro Rico, et al.. (2010). Task Superscalar: An Out-of-Order Task Pipeline. QRU Quaderns de Recerca en Urbanisme. 89–100. 78 indexed citations
19.
Cabarcas, Felipe, Alejandro Rico, Yoav Etsion, & Alex Ramírez. (2010). Interleaving granularity on high bandwidth memory architecture for CMPs. QRU Quaderns de Recerca en Urbanisme. 7. 250–257. 3 indexed citations
20.
Vega, Augusto, Alejandro Rico, Felipe Cabarcas, Alex Ramírez, & Mateo Valero. (2010). Comparing last-level cache designs for CMP architectures. QRU Quaderns de Recerca en Urbanisme. 1–11. 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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