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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
58
Citations
13767
World Ranking
3624
National Ranking
69

Elisa Ricci 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 Elisa Ricci 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: 213 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Elisa Ricci 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 Elisa Ricci 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: 58 D-Index — 75th percentile

75% 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 Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Elisa Ricci is a researcher affiliated with Fondazione Bruno Kessler in Italy, with a primary focus in the field of Computer Science. Their work concentrates notably on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Aerospace Engineering, and Computer Networks and Communications.

The scientist's research covers several main topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Generative Adversarial Networks and Image Synthesis
  • 3D Shape Modeling and Analysis

Recent publications authored or coauthored by Elisa Ricci include:

  • Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound, 2020, IEEE Transactions on Medical Imaging
  • Modeling the Background for Incremental Learning in Semantic Segmentation, 2020, Institutional Research Information System (Università degli Studi di Trento)
  • Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • First Order Motion Model for Image Animation, 2020, arXiv (Cornell University)
  • A Unified Objective for Novel Class Discovery, 2021, IRIS UNIMORE (University of Modena and Reggio Emilia)

Frequent publication venues for their work are diverse, with notable contributions in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Computer Vision and Image Understanding

In addition to journal and conference papers, Elisa Ricci has participated in book publications, such as the contribution to "Image Analysis and Processing - ICIAP 2022" published by Springer Science+Business Media.

Collaborations have involved several frequent coauthors, reflecting ongoing research partnerships. These coauthors include:

  • Nicu Sebe
  • Paolo Rota
  • Subhankar Roy
  • Stéphane Lathuilière
  • Yiming Wang

Best Publications

  • Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification

    E. Ricci;R. Perfetti

  • Learning Deep Representations of Appearance and Motion for Anomalous Event Detection

    Dan Xu;Elisa Ricci;Yan Yan;Jingkuan Song

  • Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound

    Subhankar Roy;Willi Menapace;Sebastiaan Oei;Ben Luijten

  • Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation

    Dan Xu;Elisa Ricci;Wanli Ouyang;Xiaogang Wang

  • First Order Motion Model for Image Animation

    Aliaksandr Siarohin;Stéphane Lathuilière;Sergey Tulyakov;Elisa Ricci

  • Detecting anomalous events in videos by learning deep representations of appearance and motion

    Dan Xu;Yan Yan;Elisa Ricci;Elisa Ricci;Nicu Sebe

  • Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions

    Sergey Tulyakov;Xavier Alameda-Pineda;Elisa Ricci;Lijun Yin

  • Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation

    Dan Xu;Wei Wang;Hao Tang;Hong Liu

  • Animating Arbitrary Objects via Deep Motion Transfer

    Aliaksandr Siarohin;Stephane Lathuiliere;Sergey Tulyakov;Elisa Ricci

  • AutoDIAL: Automatic Domain Alignment Layers

    Fabio Maria Cariucci;Lorenzo Porzi;Barbara Caputo;Elisa Ricci

  • Modeling the Background for Incremental Learning in Semantic Segmentation

    Fabio Cermelli;Massimiliano Mancini;Samuel Rota Bulo;Elisa Ricci

  • Support Vector Machines.

    Nello Cristianini;Elisa Ricci

  • Learning Cross-Modal Deep Representations for Robust Pedestrian Detection

    Dan Xu;Wanli Ouyang;Elisa Ricci;Xiaogang Wang

  • A Unified Objective for Novel Class Discovery

    Unknown

  • Multitask Linear Discriminant Analysis for View Invariant Action Recognition

    Yan Yan;Elisa Ricci;Ramanathan Subramanian;Gaowen Liu

  • Self-Supervised Models are Continual Learners

    Unknown

  • Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction

    Guanglei Yang;Hao Tang;Mingli Ding;Nicu Sebe

  • Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks

    Andrea Pilzer;Dan Xu;Mihai Puscas;Elisa Ricci

  • Egocentric Daily Activity Recognition via Multitask Clustering

    Yan Yan;Elisa Ricci;Gaowen Liu;Nicu Sebe

  • Boosting Domain Adaptation by Discovering Latent Domains

    Massimiliano Mancini;Lorenzo Porzi;Samuel Rota Bulo;Barbara Caputo

  • Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss

    Subhankar Roy;Aliaksandr Siarohin;Enver Sangineto;Samuel Rota Bulo

  • SALSA: A Novel Dataset for Multimodal Group Behavior Analysis

    Xavier Alameda-Pineda;Jacopo Staiano;Ramanathan Subramanian;Ligia Batrinca

  • Support Vector Machines

    Mamoun Awad;Latifur Khan

Frequent Co-Authors

Nicu Sebe
Nicu Sebe University of Trento
Xavier Alameda-Pineda
Xavier Alameda-Pineda French Institute for Research in Computer Science and Automation - INRIA
Samuel Rota Bulò
Samuel Rota Bulò Facebook (United States)
Yan Yan
Yan Yan Illinois Institute of Technology
Barbara Caputo
Barbara Caputo Polytechnic University of Turin
Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong
Nello Cristianini
Nello Cristianini University of Bath
Jingkuan Song
Jingkuan Song Columbia University
Wanli Ouyang
Wanli Ouyang Shanghai AI Lab
Bruno Lepri
Bruno Lepri Fondazione Bruno Kessler

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