World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4058
World Ranking
12766
National Ranking
239

Carlos Sagues 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 Carlos Sagues 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: 218 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Carlos Sagues 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 Carlos Sagues 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Carlos Sagues is affiliated with the University of Zaragoza in Spain. Their research spans fields primarily in Computer Science and Engineering, with a focus on several interdisciplinary subfields.

The main fields of study include:

  • Computer Science
  • Engineering

Their work further specializes into subfields such as:

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition

Carlos Sagues has contributed to a variety of topics within these areas, including:

  • Distributed Control Multi-Agent Systems
  • Distributed Sensor Networks and Detection Algorithms
  • Target Tracking and Data Fusion in Sensor Networks
  • Robotic Path Planning Algorithms
  • Neural Networks Stability and Synchronization
  • Electric Motor Design and Analysis
  • Advanced Memory and Neural Computing

The researcher has published multiple recent papers in highly specialized venues. These include:

  • "Run-to-Run Control With Bayesian Optimization for Soft Landing of Short-Stroke Reluctance Actuators" (2020), published in IEEE/ASME Transactions on Mechatronics
  • "Adaptive Multirobot Implicit Control of Heterogeneous Herds" (2022), published in IEEE Transactions on Robotics
  • "Dynamic Consensus With Prescribed Convergence Time for Multileader Formation Tracking" (2022), published in IEEE Control Systems Letters
  • "EDCHO: High order exact dynamic consensus" (2021), published in Automatica
  • "An efficient dynamical model of reluctance actuators with flux fringing and magnetic hysteresis" (2021), published in Mechatronics

Frequent co-authors collaborating with Carlos Sagues include:

  • Rodrigo Aldana-López
  • Eduardo Montijano
  • Eduardo Sebastián
  • Rosario Aragüés
  • Gonzalo López-Nicolás

The researcher frequently publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Robotics
  • IEEE Control Systems Letters
  • Automatica
  • IFAC-PapersOnLine

Best Publications

  • SURF features for efficient robot localization with omnidirectional images

    A.C. Murillo;J.J. Guerrero;C. Sagues

  • Vision-Based Distributed Formation Control Without an External Positioning System

    Eduardo Montijano;Eric Cristofalo;Dingjiang Zhou;Mac Schwager

  • Distributed Consensus on Robot Networks for Dynamically Merging Feature-Based Maps

    R. Aragues;J. Cortes;C. Sagues

  • Homography-Based Control Scheme for Mobile Robots With Nonholonomic and Field-of-View Constraints

    Gonzalo López-Nicolás;Nicholas R Gans;Sourabh Bhattacharya;Carlos Sagüés

  • Visual door detection integrating appearance and shape cues

    A. C. Murillo;J. Košecká;J. J. Guerrero;C. Sagüés

  • A Sliding-Mode-Control Law for Mobile Robots Based on Epipolar Visual Servoing From Three Views

    H M Becerra;G López-Nicolás;C Sagüés

  • Human-computer interaction based on hand gestures using RGB-D sensors.

    José Manuel Palacios;Carlos Sagüés;Eduardo Montijano;Sergio Llorente

  • From omnidirectional images to hierarchical localization

    A. C. Murillo;C. Sagüés;J. J. Guerrero;T. Goedemé

  • Formation Control of Mobile Robots Using Multiple Aerial Cameras

    Miguel Aranda;Gonzalo Lopez-Nicolas;Carlos Sagues;Youcef Mezouar

  • Distributed algebraic connectivity estimation for adaptive event-triggered consensus

    R. Aragues;G. Shi;D. V. Dimarogonas;C. Sagues

  • Localization and Matching Using the Planar Trifocal Tensor With Bearing-Only Data

    J.J. Guerrero;A.C. Murillo;C. Sagues

  • Switching visual control based on epipoles for mobile robots

    G. López-Nicolás;C. Sagüés;J. J. Guerrero;D. Kragic

  • Visual correction for mobile robot homing

    Carlos Sagüés;José Jesús Guerrero

  • Visual control through the trifocal tensor for nonholonomic robots

    G. LóPez-NicoláS;J. J. Guerrero;C. SagüéS

  • Distributed formation control without a global reference frame

    Eduardo Montijano;Dingjiang Zhou;Mac Schwager;Carlos Sagues

  • Distributed algebraic connectivity estimation for undirected graphs with upper and lower bounds

    Rosario Aragues;Guodong Shi;Dimos V. Dimarogonas;Carlos Sagüés

  • Robust discrete time dynamic average consensus

    Eduardo Montijano;Juan Ignacio Montijano;Carlos Sagüés;Sonia Martínez

  • Omnidirectional visual control of mobile robots based on the 1D trifocal tensor

    H. M. Becerra;G. López-Nicolás;C. Sagüés

  • Nonholonomic epipolar visual servoing

    G. Lopez-Nicolas;C. Sagues;J.J. Guerrero;D. Kragic

  • Survey on multi-robot manipulation of deformable objects

    Rafael Herguedas;Gonzalo Lopez-Nicolas;Rosario Aragues;Carlos Sagues

  • Distributed Coverage Estimation and Control for Multirobot Persistent Tasks

    Jose Manuel Palacios-Gasos;Eduardo Montijano;Carlos Sagues;Sergio Llorente

  • Distributed consensus algorithms for merging feature-based maps with limited communication

    R. Aragues;J. Cortes;C. Sagues

Frequent Co-Authors

Jorge E. Cortes
Jorge E. Cortes Augusta University
Sonia Martinez
Sonia Martinez University of California, San Diego
Mac Schwager
Mac Schwager Stanford University
Giuseppe Carlo Calafiore
Giuseppe Carlo Calafiore Polytechnic University of Turin
Michael M. Zavlanos
Michael M. Zavlanos Duke University
Dimos V. Dimarogonas
Dimos V. Dimarogonas Royal Institute of Technology
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology
Seth Hutchinson
Seth Hutchinson University of Illinois at Urbana-Champaign
Danica Kragic
Danica Kragic Royal Institute of Technology

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