Rubén Montero
- Computer Networks and Communications top 0.2%
- Information Systems top 0.1%
- Hardware and Architecture top 2%
- Information Systems and Management top 1%
- Artificial Intelligence top 5%
- Co-authors
- Ignacio M. LlórenteRafael Moreno‐VozmedianoEduardo HuedoIan FosterBorja SotomayorJohan TordssonDejan MilojičićAlex Galis
- Topics
- Distributed and Parallel Computing Systems (44 papers)Cloud Computing and Resource Management (37 papers)Parallel Computing and Optimization Techniques (26 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Rubén Montero
67 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Computer Networks and Communications 2.9k
- Information Systems 2.8k
- Hardware and Architecture 403
- Information Systems and Management 369
- Artificial Intelligence 255
Countries citing papers authored by Rubén Montero
This map shows the geographic impact of Rubén Montero'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 Rubén Montero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rubén Montero more than expected).
Fields of papers citing papers by Rubén Montero
This network shows the impact of papers produced by Rubén Montero. 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 Rubén Montero. The network helps show where Rubén Montero may publish in the future.
Co-authorship network of co-authors of Rubén Montero
This figure shows the co-authorship network connecting the top 25 collaborators of Rubén Montero. A scholar is included among the top collaborators of Rubén Montero 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 Rubén Montero. Rubén Montero 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 | 11 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 119 | |
| 6 | Cloud Capacity Reservation for Optimal Service Deployment | 11 |
| 7 | 231 | |
| 8 | 8 | |
| 9 | CLOUD COMPUTING: AN EDUCATIONAL PERSPECTIVE | 0 |
| 10 | 43 | |
| 11 | 76 | |
| 12 | 10 | |
| 13 | 24 | |
| 14 | 1 | |
| 15 | Ejecución distribuida de bucles en Grids computacionales | 1 |
| 16 | 28 | |
| 17 | 7 | |
| 18 | 86 | |
| 19 | Semicoarsening and implicit smoothers for the simulation of a flat plate at yaw | 1 |
| 20 | 10 |
About Rubén Montero
Rubén Montero is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems and Management, having authored 71 papers that have together received 3.4k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (44 papers), Cloud Computing and Resource Management (37 papers) and Parallel Computing and Optimization Techniques (26 papers). The work is most often cited by research in Computer Networks and Communications (2.9k citations), Information Systems (2.8k citations) and Hardware and Architecture (403 citations). Rubén Montero has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Ignacio M. Llórente, Rafael Moreno‐Vozmediano, Eduardo Huedo, Ian Foster, Borja Sotomayor, Johan Tordsson, Dejan Milojičić, Alex Galis, Erik Elmroth and Yaron Wolfsthal. Their work appears in journals such as Journal of Computational Physics, Computer 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.