Juan M. Cebrián

53 total papers · 434 total citations
41 papers, 297 citations indexed

About

Juan M. Cebrián is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Juan M. Cebrián has authored 41 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Hardware and Architecture, 22 papers in Computer Networks and Communications and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Juan M. Cebrián's work include Parallel Computing and Optimization Techniques (33 papers), Low-power high-performance VLSI design (14 papers) and Advanced Data Storage Technologies (12 papers). Juan M. Cebrián is often cited by papers focused on Parallel Computing and Optimization Techniques (33 papers), Low-power high-performance VLSI design (14 papers) and Advanced Data Storage Technologies (12 papers). Juan M. Cebrián collaborates with scholars based in Spain, Norway and Sweden. Juan M. Cebrián's co-authors include Lasse Natvig, José M. Garcı́a, Stefanos Kaxiras, Juan L. Aragón, Magnus Jahre, Pavlos Petoumenos, Jan Christian Meyer, José M. Cecilia, Mateo Valero and Marc Casas and has published in prestigious journals such as Future Generation Computer Systems, IEEE Transactions on Parallel and Distributed Systems and Computers & Mathematics with Applications.

In The Last Decade

Juan M. Cebrián

36 papers receiving 288 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Juan M. Cebrián	182	158	105	47	45	41	297
Dibakar Saha	162 0.9×	95 0.6×	71 0.7×	53 1.1×	17 0.4×	29	298
Jens Hagemeyer	130 0.7×	206 1.3×	170 1.6×	19 0.4×	20 0.4×	48	326
Sheng Li	212 1.2×	65 0.4×	60 0.6×	90 1.9×	23 0.5×	29	336
A. Martínez	135 0.7×	176 1.1×	62 0.6×	20 0.4×	15 0.3×	35	286
Ian A. Troxel	185 1.0×	206 1.3×	90 0.9×	22 0.5×	57 1.3×	35	334
Raphael Some	193 1.1×	177 1.1×	182 1.7×	25 0.5×	42 0.9×	43	363
Steven Derrien	111 0.6×	153 1.0×	83 0.8×	23 0.5×	23 0.5×	49	339
Artur Podobas	164 0.9×	201 1.3×	75 0.7×	31 0.7×	11 0.2×	35	326
Dionysios Diamantopoulos	93 0.5×	113 0.7×	68 0.6×	20 0.4×	37 0.8×	36	226
Bahar Asgari	134 0.7×	113 0.7×	99 0.9×	39 0.8×	21 0.5×	29	309

Countries citing papers authored by Juan M. Cebrián

Since Specialization

Citations

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

Fields of papers citing papers by Juan M. Cebrián

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan M. Cebrián. 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 Juan M. Cebrián. The network helps show where Juan M. Cebrián may publish in the future.

Co-authorship network of co-authors of Juan M. Cebrián

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

All Works

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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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