Alejandro Rico

1.1k citations
32 papers · 673 · h-index 13

Impact in

Papers in

Alejandro Rico

31 papers receiving 658 citations

Peers

Alejandro Rico
Comparison fields: 5 of 51
  • Hardware and Architecture 545
  • Computer Networks and Communications 502
  • Information Systems 165
  • Computational Mathematics 4
  • Computer Vision and Pattern Recognition 43
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Alejandro Rico relative to Janghaeng Lee United States Janghaeng Lee's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Alejandro Rico, 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 Alejandro Rico Line = papers co-authored together Alejandro Rico links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017192
2 201385
3 201081
4 201542
5 201641
6 201137
7 201229
8 201321
9 201619
10 201718
11 201618
12 201613
13 200912
14 20198
15 20198
16 20218
17 20167
18 20225
19 20155
20 20164

About Alejandro Rico

Alejandro Rico is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Electrical and Electronic Engineering and Civil and Structural Engineering, having authored 32 papers that have together received 673 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (27 papers), Advanced Data Storage Technologies (18 papers), Distributed and Parallel Computing Systems (14 papers), Interconnection Networks and Systems (10 papers), Cloud Computing and Resource Management (7 papers), Embedded Systems Design Techniques (2 papers), Advanced Memory and Neural Computing (2 papers) and 3D IC and TSV technologies (2 papers). The work is most often cited by research in Hardware and Architecture (545 citations), Computer Networks and Communications (502 citations), Information Systems (165 citations), Computational Mathematics (4 citations) and Computer Vision and Pattern Recognition (43 citations). Alejandro Rico has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Alex Ramírez, Mateo Valero, Eduard Ayguadé, Jesús Labarta, Rosa M. Badía, Nikola Rajovic, Felipe Cabarcas, Nikola Puzovic, Yoav Etsion and Matthias Boettcher. Their work appears in journals such as IEEE Micro, Journal of Parallel and Distributed Computing, Construction and Building Materials, IEEE Transactions on Computers and Future Generation Computer Systems.

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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