World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
7893
World Ranking
12900
National Ranking
242

Rubén S. Montero publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Rubén S. Montero sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 120 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Rubén S. Montero D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Rubén S. Montero sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Rubén S. Montero is affiliated with the Complutense University of Madrid in Spain. Their primary research domain is computer science, with a strong focus on areas such as computer networks and communications, information systems, and artificial intelligence. Their work also intersects with electrical and electronic engineering as well as aspects of sociology and political science.

The scientist's research covers a variety of topics, with a notable emphasis on IoT and edge/fog computing. Additional key topics include cloud computing and resource management, blockchain technology applications and security, privacy-preserving technologies in data, cloud data security solutions, power line communications and noise, and digital marketing and social media.

Rubén S. Montero has published in several venues, reflecting a range of interests within their fields of study. These venues include:

  • Research Square (Research Square)
  • Journal of Cloud Computing Advances Systems and Applications
  • Journal of Grid Computing
  • Future Internet
  • Interconnection An Economic Perspective Horizon

Some of their recent papers are as follows:

  • Latency and resource consumption analysis for serverless edge analytics, 2023, Journal of Cloud Computing Advances Systems and Applications
  • Opportunistic Deployment of Distributed Edge Clouds for Latency-Critical Applications, 2021, Journal of Grid Computing
  • Intelligent Resource Orchestration for 5G Edge Infrastructures, 2024, Future Internet
  • Brand Image, Service Quality, and Online Customer Review on the Decision to Use Gojek Application Services in Pekanbaru, 2023, Interconnection An Economic Perspective Horizon
  • Latency And Resource Consumption Analysis For Serverless Edge Analytics, 2022, Research Square (Research Square)

Their research collaborations include frequent coauthors such as:

  • Rafael Moreno-Vozmediano
  • Eduardo Huedo
  • Ignacio M. Llórente
  • Constantino Vázquez
  • Vlastimil Holer

Best Publications

  • Virtual Infrastructure Management in Private and Hybrid Clouds

    B. Sotomayor;R.S. Montero;I.M. Llorente;I. Foster

  • The reservoir model and architecture for open federated cloud computing

    B. Rochwerger;D. Breitgand;E. Levy;A. Galis

  • Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers

    Johan Tordsson;Rubén S. Montero;Rafael Moreno-Vozmediano;Ignacio M. Llorente

  • IaaS Cloud Architecture: From Virtualized Datacenters to Federated Cloud Infrastructures

    R. Moreno-Vozmediano;R. S. Montero;Ignacio M. Llorente

  • A framework for adaptive execution in grids

    Eduardo Huedo;Ruben S. Montero;Ignacio M. Llorente

  • OpenNebula: A Cloud Management Tool

    Dejan Milojičić;Ignacio M. Llorente;Ruben S. Montero

  • Key Challenges in Cloud Computing: Enabling the Future Internet of Services

    R. Moreno-Vozmediano;R. S. Montero;Ignacio M. Llorente

  • From infrastructure delivery to service management in clouds

    Luis Rodero-Merino;Luis M. Vaquero;Victor Gil;Fermín Galán

  • Capacity Leasing in Cloud Systems using the OpenNebula Engine

    Borja Sotomayor;Ruben S. Montero;Ignacio M. Llorente;Ian Foster

  • The GridWay Framework for Adaptive Scheduling and Execution on Grids

    Eduardo Huedo;Rubén S. Montero;Ignacio Martín Llorente

  • Scheduling strategies for optimal service deployment across multiple clouds

    Jose Luis Lucas-Simarro;Rafael Moreno-Vozmediano;Ruben S. Montero;Ignacio M. Llorente

  • Elastic management of cluster-based services in the cloud

    Rafael Moreno-Vozmediano;Ruben S. Montero;Ignacio M. Llorente

  • Resource Leasing and the Art of Suspending Virtual Machines

    Borja Sotomayor;Rubén Santiago Montero;Ignacio Martín Llorente;Ian Foster

  • Dynamic placement of virtual machines for cost optimization in multi-cloud environments

    Jose Luis Lucas Simarro;Rafael Moreno-Vozmediano;Ruben S. Montero;I. M. Llorente

  • Multicloud Deployment of Computing Clusters for Loosely Coupled MTC Applications

    R Moreno-Vozmediano;R S Montero;I M Llorente

  • A modular meta-scheduling architecture for interfacing with pre-WS and WS Grid resource management services

    Eduardo Huedo;Rubén S. Montero;Ignacio M. Llorente

  • An elasticity model for High Throughput Computing clusters

    Ruben S. Montero;Rafael Moreno-Vozmediano;Ignacio M. Llorente

  • Efficient resource provisioning for elastic Cloud services based on machine learning techniques

    Rafael Moreno-Vozmediano;Rubén S. Montero;Eduardo Huedo;Ignacio Martín Llorente;Ignacio Martín Llorente

  • Experiences on adaptive grid scheduling of parameter sweep applications

    E. Huedo;R.S. Montero;I.M. Llorente

  • Dynamic Provision of Computing Resources from Grid Infrastructures and Cloud Providers

    Constantino Vázquez Blanco;Eduardo Huedo;Rubén S. Montero;Ignacio M. Llorente

Frequent Co-Authors

Ignacio M. Llorente
Ignacio M. Llorente Complutense University of Madrid
Ian Foster
Ian Foster University of Chicago
Alex Galis
Alex Galis University College London
Erik Elmroth
Erik Elmroth Umeå University
Massimo Villari
Massimo Villari University of Messina
Wolfgang Emmerich
Wolfgang Emmerich University College London
Antonio Celesti
Antonio Celesti University of Messina
Derrick Kondo
Derrick Kondo French Institute for Research in Computer Science and Automation - INRIA
Dejan Milojicic
Dejan Milojicic Hewlett-Packard (United States)
Johan Tordsson
Johan Tordsson Umeå University

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