Gabriel G. Castañé
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Industrial and Manufacturing Engineering top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Alberto NúñezJesús CarreteroJosé Luis Vázquez‐PolettiAgustín C. CamineroIgnacio M. LlórenteEduardo VyhmeisterDapeng DongJohn P. Morrison
- Topics
- Distributed and Parallel Computing Systems (8 papers)Cloud Computing and Resource Management (8 papers)Digital Transformation in Industry (4 papers)
In The Last Decade
Gabriel G. Castañé
19 papers receiving 380 citations
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 281
- Information Systems 268
- Industrial and Manufacturing Engineering 54
- Artificial Intelligence 31
- Electrical and Electronic Engineering 26
Countries citing papers authored by Gabriel G. Castañé
This map shows the geographic impact of Gabriel G. Castañé'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 Gabriel G. Castañé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel G. Castañé more than expected).
Fields of papers citing papers by Gabriel G. Castañé
This network shows the impact of papers produced by Gabriel G. Castañé. 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 Gabriel G. Castañé. The network helps show where Gabriel G. Castañé may publish in the future.
Co-authorship network of co-authors of Gabriel G. Castañé
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel G. Castañé. A scholar is included among the top collaborators of Gabriel G. Castañé 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 Gabriel G. Castañé. Gabriel G. Castañé 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 | 8 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 50 | |
| 10 | 4 | |
| 11 | 25 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 42 | |
| 17 | 3 | |
| 18 | 20 | |
| 19 | 210 | |
| 20 | Design of a flexible and scalable hypervisor module for simulating cloud computing environments | 8 |
About Gabriel G. Castañé
Gabriel G. Castañé is a scholar working on Medical Laboratory Technology, Industrial and Manufacturing Engineering and Information Systems, having authored 20 papers that have together received 407 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (8 papers), Cloud Computing and Resource Management (8 papers) and Digital Transformation in Industry (4 papers). The work is most often cited by research in Computer Networks and Communications (281 citations), Information Systems (268 citations) and Industrial and Manufacturing Engineering (54 citations). Gabriel G. Castañé has collaborated with scholars based in Ireland, Spain and Greece. Frequent co-authors include Alberto Núñez, Jesús Carretero, José Luis Vázquez‐Poletti, Agustín C. Caminero, Ignacio M. Llórente, Eduardo Vyhmeister, Dapeng Dong, John P. Morrison, Bart Meyers and Alexandre Dolgui. Their work appears in journals such as International Journal of Production Research, Future Generation Computer Systems and Water.
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.