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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
48
Citations
14128
World Ranking
6048
National Ranking
78

Francesc Moreno-Noguer 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 Francesc Moreno-Noguer 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: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Francesc Moreno-Noguer 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 Francesc Moreno-Noguer 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Francesc Moreno-Noguer is affiliated with the Universitat Politècnica de Catalunya in Spain and has made significant contributions to multiple areas within computer science and engineering. Their research primarily focuses on topics related to human pose and action recognition, 3D shape modeling and analysis, and advanced vision and imaging techniques.

The main fields of study covered in Moreno-Noguer's work include:

  • Computer Science
  • Engineering

Within these fields, their subfields of expertise span:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Control and Systems Engineering
  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

Key topics addressed in their research include:

  • Human Pose and Action Recognition
  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Human Motion and Animation
  • Computer Graphics and Visualization Techniques
  • Hand Gesture Recognition Systems
  • Video Surveillance and Tracking Methods

Moreno-Noguer has published extensively in various venues. The most frequent publication platforms are:

  • arXiv (Cornell University)
  • 2021 International Conference on 3D Vision (3DV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • DIGITAL.CSIC (Spanish National Research Council (CSIC))
  • UPCommons (Polytechnic University of Catalonia)

Selected recent papers demonstrate the scope of their research:

  • D-NeRF: neural radiance fields for dynamic scenes, 2021, UPCommons (Polytechnic University of Catalonia)
  • SMPLicit: Topology-aware generative model for clothed people, 2021, DIGITAL.CSIC (Spanish National Research Council (CSIC))
  • Context-aware human motion prediction, 2020, DIGITAL.CSIC (Spanish National Research Council (CSIC))
  • Back to MLP: A Simple Baseline for Human Motion Prediction, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • C-Flow: conditional generative flow models for images and 3D point clouds, 2020, UPCommons (Polytechnic University of Catalonia)

Throughout their career, Moreno-Noguer has collaborated frequently with other researchers. Notable co-authors include:

  • Antonio Agudo
  • Xavier Alameda-Pineda
  • Albert Pumarola
  • Enric Corona
  • Adrià Ruiz

Best Publications

  • EPnP: An Accurate O(n) Solution to the PnP Problem

    Vincent Lepetit;Francesc Moreno-Noguer;Pascal Fua

  • D-NeRF: Neural Radiance Fields for Dynamic Scenes

    Albert Pumarola;Enric Corona;Gerard Pons-Moll;Francesc Moreno-Noguer

  • Discriminative Learning of Deep Convolutional Feature Point Descriptors

    Edgar Simo-Serra;Eduard Trulls;Luis Ferraz;Iasonas Kokkinos

  • GANimation: anatomically-aware facial animation from a single image

    Albert Pumarola;Antonio Agudo;Aleix M. Martinez;Alberto Sanfeliu

  • PL-SLAM: Real-time monocular visual SLAM with points and lines

    Albert Pumarola;Alexander Vakhitov;Antonio Agudo;Alberto Sanfeliu

  • 3D Human Pose Estimation from a Single Image via Distance Matrix Regression

    Francesc Moreno-Noguer

  • Accurate Non-Iterative O(n) Solution to the PnP Problem

    F. Moreno-Noguer;V. Lepetit;P. Fua

  • Neuroaesthetics in fashion: Modeling the perception of fashionability

    Edgar Simo-Serra;Sanja Fidler;Francesc Moreno-Noguer;Raquel Urtasun

  • Very Fast Solution to the PnP Problem with Algebraic Outlier Rejection

    Luis Ferraz;Xavier Binefa;Francesc Moreno-Noguer

  • Unsupervised Person Image Synthesis in Arbitrary Poses

    Albert Pumarola;Antonio Agudo;Alberto Sanfeliu;Francesc Moreno-Noguer

  • Active refocusing of images and videos

    Francesc Moreno-Noguer;Peter N. Belhumeur;Shree K. Nayar

  • SMPLicit: Topology-aware Generative Model for Clothed People

    Enric Corona;Albert Pumarola;Guillem Alenya;Gerard Pons-Moll

  • Exhaustive Linearization for Robust Camera Pose and Focal Length Estimation

    A. Penate-Sanchez;J. Andrade-Cetto;F. Moreno-Noguer

  • Back to MLP: A Simple Baseline for Human Motion Prediction

    Unknown

  • Single image 3D human pose estimation from noisy observations

    E. Simo-Serra;A. Ramisa;G. Alenya;C. Torras

  • GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes

    Enric Corona;Albert Pumarola;Guillem Alenya;Francesc Moreno-Noguer

  • Using depth and appearance features for informed robot grasping of highly wrinkled clothes

    Arnau Ramisa;Guillem Alenya;Francesc Moreno-Noguer;Carme Torras

  • A Joint Model for 2D and 3D Pose Estimation from a Single Image

    Edgar Simo-Serra;Ariadna Quattoni;Carme Torras;Francesc Moreno-Noguer

  • Context-Aware Human Motion Prediction

    Enric Corona;Albert Pumarola;Guillem Alenya;Francesc Moreno-Noguer

  • Closed-Form Solution to Non-rigid 3D Surface Registration

    Mathieu Salzmann;Francesc Moreno-Noguer;Vincent Lepetit;Pascal Fua

  • A High Performance CRF Model for Clothes Parsing

    Edgar Simo-Serra;Sanja Fidler;Francesc Moreno-Noguer;Raquel Urtasun

  • 3DPeople: Modeling the Geometry of Dressed Humans

    Albert Pumarola;Jordi Sanchez;Gary P. T. Choi;Alberto Sanfeliu

Frequent Co-Authors

Alberto Sanfeliu
Alberto Sanfeliu Universitat Politècnica de Catalunya
Juan Andrade-Cetto
Juan Andrade-Cetto Universitat Politècnica de Catalunya
Pascal Fua
Pascal Fua École Polytechnique Fédérale de Lausanne
Carme Torras
Carme Torras Spanish National Research Council
Vincent Lepetit
Vincent Lepetit École des Ponts ParisTech
Dimitris Samaras
Dimitris Samaras Stony Brook University
Iasonas Kokkinos
Iasonas Kokkinos University College London
Fernando De la Torre
Fernando De la Torre Carnegie Mellon University
Krystian Mikolajczyk
Krystian Mikolajczyk Imperial College London
Gerard Pons-Moll
Gerard Pons-Moll University of Tübingen

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