Javier Garcia‐Blas
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Radiology, Nuclear Medicine and Imaging
- Hardware and Architecture top 10%
- Artificial Intelligence
- Co-authors
- Jesús CarreteroFlorin IsailăManuel DescoMónica AbellaDandi YangHelen D. KaratzaGeorgios L. StavrinidesJavier Fernández
- Topics
- Distributed and Parallel Computing Systems (23 papers)Advanced Data Storage Technologies (21 papers)Cloud Computing and Resource Management (17 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsInformation Systems and Management
- Partner nations
- SpainItalyUnited States
In The Last Decade
Javier Garcia‐Blas
47 papers receiving 290 citations
Peers
Comparison fields: 5 of 58
- Computer Networks and Communications 145
- Information Systems 119
- Radiology, Nuclear Medicine and Imaging 69
- Hardware and Architecture 55
- Artificial Intelligence 49
Countries citing papers authored by Javier Garcia‐Blas
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 23 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 15 | |
| 18 | 16 | |
| 19 | 10 | |
| 20 | 4 |
About Javier Garcia‐Blas
Javier Garcia‐Blas is a scholar working on Hardware and Architecture, Information Systems and Management and Computer Networks and Communications, having authored 58 papers that have together received 296 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (23 papers), Advanced Data Storage Technologies (21 papers) and Cloud Computing and Resource Management (17 papers). The work is most often cited by research in Hardware and Architecture (55 citations), Computer Networks and Communications (145 citations) and Information Systems and Management (42 citations). Javier Garcia‐Blas has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Jesús Carretero, Florin Isailă, Manuel Desco, Mónica Abella, Dandi Yang, Helen D. Karatza, Georgios L. Stavrinides, Javier Fernández, Alok Choudhary and Fabrizio Marozzo. Their work appears in journals such as PLoS ONE, IEEE Access and BMC Bioinformatics.
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.