Rubén Montero

5.6k total citations · 2 hit papers
71 papers, 3.4k citations indexed

About

Rubén Montero is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Rubén Montero has authored 71 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computer Networks and Communications, 38 papers in Information Systems and 26 papers in Hardware and Architecture. Recurrent topics in Rubén Montero's work include Distributed and Parallel Computing Systems (44 papers), Cloud Computing and Resource Management (37 papers) and Parallel Computing and Optimization Techniques (26 papers). Rubén Montero is often cited by papers focused on Distributed and Parallel Computing Systems (44 papers), Cloud Computing and Resource Management (37 papers) and Parallel Computing and Optimization Techniques (26 papers). Rubén Montero collaborates with scholars based in Spain, United States and United Kingdom. Rubén Montero's 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 and has published in prestigious journals such as Journal of Computational Physics, Computer and Future Generation Computer Systems.

In The Last Decade

Rubén Montero

67 papers receiving 3.1k citations

Hit Papers

Virtual Infrastructure Management in Private and Hybrid C... 2009 2026 2014 2020 2009 2009 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rubén Montero Spain 25 2.9k 2.8k 403 369 255 71 3.4k
Ignacio M. Llórente Spain 26 3.2k 1.1× 3.0k 1.1× 442 1.1× 384 1.0× 272 1.1× 103 3.8k
David Oppenheimer United States 16 2.3k 0.8× 1.7k 0.6× 309 0.8× 140 0.4× 463 1.8× 23 2.6k
Walfredo Cirne Brazil 21 1.7k 0.6× 1.3k 0.5× 592 1.5× 195 0.5× 202 0.8× 68 2.0k
Brent Chun United States 20 2.8k 1.0× 1.3k 0.5× 366 0.9× 189 0.5× 340 1.3× 30 3.0k
Fay W. Chang United States 13 3.6k 1.3× 2.4k 0.9× 537 1.3× 235 0.6× 554 2.2× 18 4.2k
Mike Burrows United States 8 3.8k 1.3× 2.8k 1.0× 352 0.9× 259 0.7× 665 2.6× 16 4.4k
Howard Gobioff United States 12 5.4k 1.9× 3.5k 1.2× 709 1.8× 330 0.9× 793 3.1× 19 6.1k
Robert Gruber United States 16 3.5k 1.2× 2.4k 0.9× 430 1.1× 249 0.7× 653 2.6× 32 4.2k
Benjamin Reed United States 17 3.7k 1.3× 3.1k 1.1× 437 1.1× 442 1.2× 758 3.0× 33 4.4k
Andrew Fikes United States 5 2.8k 1.0× 2.2k 0.8× 235 0.6× 225 0.6× 451 1.8× 5 3.4k

Countries citing papers authored by Rubén Montero

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Moreno‐Vozmediano, Rafael, Eduardo Huedo, Rubén Montero, & Ignacio M. Llórente. (2025). AI-Driven Resource Allocation and Auto-Scaling of VNFs in Edge-5G-IoT Ecosystems. Electronics. 14(9). 1808–1808.
2.
Moreno‐Vozmediano, Rafael, Eduardo Huedo, Rubén Montero, & Ignacio M. Llórente. (2023). Latency and resource consumption analysis for serverless edge analytics. Journal of Cloud Computing Advances Systems and Applications. 12(1). 11 indexed citations
3.
Huedo, Eduardo, et al.. (2021). Opportunistic Deployment of Distributed Edge Clouds for Latency-Critical Applications. Journal of Grid Computing. 19(1). 9 indexed citations
4.
Montero, Rubén, et al.. (2018). Mobile Wireless Sensor Networks in a Smart City. International Journal on Smart Sensing and Intelligent Systems. 11(1). 1–8. 3 indexed citations
5.
Moreno‐Vozmediano, Rafael, et al.. (2012). Scheduling strategies for optimal service deployment across multiple clouds. Future Generation Computer Systems. 29(6). 1431–1441. 119 indexed citations
6.
Moreno‐Vozmediano, Rafael, et al.. (2011). Cloud Capacity Reservation for Optimal Service Deployment. 52–59. 11 indexed citations
7.
Tordsson, Johan, Rubén Montero, Rafael Moreno‐Vozmediano, & Ignacio M. Llórente. (2011). Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers. Future Generation Computer Systems. 28(2). 358–367. 231 indexed citations
8.
Moreno‐Vozmediano, Rafael, Rubén Montero, & Ignacio M. Llórente. (2011). Elastic management of web server clusters on distributed virtual infrastructures. Concurrency and Computation Practice and Experience. 23(13). 1474–1490. 8 indexed citations
9.
Montero, Rubén, et al.. (2010). CLOUD COMPUTING: AN EDUCATIONAL PERSPECTIVE. 1212–1216.
10.
Montero, Rubén, Rafael Moreno‐Vozmediano, & Ignacio M. Llórente. (2010). An elasticity model for High Throughput Computing clusters. Journal of Parallel and Distributed Computing. 71(6). 750–757. 43 indexed citations
11.
Moreno‐Vozmediano, Rafael, Rubén Montero, & Ignacio M. Llórente. (2009). Elastic management of cluster-based services in the cloud. 19–24. 76 indexed citations
12.
Montero, Rubén, Eduardo Huedo, & Ignacio M. Llórente. (2008). Dynamic Deployment of Custom Execution Environments in Grids. Zenodo (CERN European Organization for Nuclear Research). 33–38. 10 indexed citations
13.
Huedo, Eduardo, Rubén Montero, & Ignacio M. Llórente. (2008). A recursive architecture for hierarchical grid resource management. Future Generation Computer Systems. 25(4). 401–405. 24 indexed citations
14.
Huedo, Eduardo, et al.. (2008). CD-HIT Workflow Execution on Grids Using Replication Heuristics. 3165. 735–740. 1 indexed citations
15.
Huedo, Eduardo, et al.. (2007). Ejecución distribuida de bucles en Grids computacionales. 52–56. 1 indexed citations
16.
Huedo, Eduardo, Rubén Montero, & Ignacio M. Llórente. (2006). Evaluating the reliability of computational grids from the end user’s point of view. Journal of Systems Architecture. 52(12). 727–736. 28 indexed citations
17.
Prieto, Manuel, Rubén Montero, Ignacio M. Llórente, & Francisco Tirado. (2003). A parallel multigrid solver for viscous flows on anisotropic structured grids. Parallel Computing. 29(7). 907–923. 7 indexed citations
18.
Huedo, Eduardo, et al.. (2001). The GridWay Framework for Adaptive Scheduling and Execution on Grids. Scalable Computing Practice and Experience. 6(3). 86 indexed citations
19.
Montero, Rubén, et al.. (2001). Semicoarsening and implicit smoothers for the simulation of a flat plate at yaw. Defense Technical Information Center (DTIC). 1 indexed citations
20.
Montero, Rubén, Ignacio M. Llórente, & Manuel D. Salas. (2001). Robust Multigrid Algorithms for the Navier–Stokes Equations. Journal of Computational Physics. 173(2). 412–432. 10 indexed citations

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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