Javier Garcia‐Blas

107 total papers · 643 total citations
60 papers, 320 citations indexed

About

Javier Garcia‐Blas is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Javier Garcia‐Blas has authored 60 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 20 papers in Information Systems and 18 papers in Hardware and Architecture. Recurrent topics in Javier Garcia‐Blas's work include Distributed and Parallel Computing Systems (24 papers), Advanced Data Storage Technologies (23 papers) and Parallel Computing and Optimization Techniques (18 papers). Javier Garcia‐Blas is often cited by papers focused on Distributed and Parallel Computing Systems (24 papers), Advanced Data Storage Technologies (23 papers) and Parallel Computing and Optimization Techniques (18 papers). Javier Garcia‐Blas collaborates with scholars based in Spain, Italy and United States. Javier Garcia‐Blas's co-authors include Jesús Carretero, Florin Isailă, Mónica Abella, Manuel Desco, Dandi Yang, Robert Ross, Helen D. Karatza, Georgios L. Stavrinides, Robert Latham and Javier Fernández and has published in prestigious journals such as PLoS ONE, IEEE Access and BMC Bioinformatics.

In The Last Decade

Javier Garcia‐Blas

49 papers receiving 314 citations

Author Peers

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

Author						Papers	Cites
Javier Garcia‐Blas	168	129	69	65	49	60	320
Jonathan Jacky	45 0.3×	68 0.5×	50 0.7×	33 0.5×	88 1.8×	33	311
K. Maly	195 1.2×	114 0.9×	8 0.1×	40 0.6×	65 1.3×	84	364
Changlong Li	188 1.1×	95 0.7×	38 0.6×	16 0.2×	82 1.7×	48	347
C. Nalini	83 0.5×	60 0.5×	18 0.3×	22 0.3×	105 2.1×	39	292
Fareed Zaffar	110 0.7×	116 0.9×	15 0.2×	27 0.4×	170 3.5×	37	347
Guadalupe Canahuate	98 0.6×	47 0.4×	84 1.2×	15 0.2×	100 2.0×	46	361
Pierre Parrend	196 1.2×	126 1.0×	8 0.1×	13 0.2×	157 3.2×	42	363
Xia Zhao	192 1.1×	89 0.7×	5 0.1×	144 2.2×	49 1.0×	49	337
Ran Giladi	175 1.0×	37 0.3×	8 0.1×	41 0.6×	43 0.9×	41	340
Abdulaziz Aborujilah	135 0.8×	128 1.0×	10 0.1×	6 0.1×	90 1.8×	37	298

Countries citing papers authored by Javier Garcia‐Blas

Since Specialization

Citations

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

Fields of papers citing papers by Javier Garcia‐Blas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Garcia‐Blas. 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 Javier Garcia‐Blas. The network helps show where Javier Garcia‐Blas may publish in the future.

Co-authorship network of co-authors of Javier Garcia‐Blas

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Garcia‐Blas. A scholar is included among the top collaborators of Javier Garcia‐Blas 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 Javier Garcia‐Blas. Javier Garcia‐Blas 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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