World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
6826
World Ranking
11989
National Ranking
407

Costantino Grana 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 Costantino Grana 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: 207 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.

Costantino Grana 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 Costantino Grana 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Costantino Grana is affiliated with the University of Modena and Reggio Emilia in Italy. Their research spans multiple fields including computer science, engineering, and dentistry.

Their main areas of study include:

  • Computer Science
  • Engineering
  • Dentistry

Subfields where Costantino Grana has published include:

  • Computer Vision and Pattern Recognition
  • Oral Surgery
  • Artificial Intelligence
  • Biomedical Engineering
  • Information Systems

The topics frequently addressed in their work feature:

  • Medical Image Segmentation Techniques
  • Dental Radiography and Imaging
  • Medical Imaging and Analysis
  • Advanced Neural Network Applications
  • Digital Image Processing Techniques
  • AI in cancer detection
  • QR Code Applications and Technologies

Costantino Grana has published extensively in various venues, with a concentration in:

  • IEEE Access
  • Clinical Journal of the American Society of Nephrology
  • AHFE international
  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Recent papers authored or coauthored by Costantino Grana include:

  • Deep Segmentation of the Mandibular Canal: A New 3D Annotated Dataset of CBCT Volumes (2022) - IEEE Access
  • Evaluation of the Classification Accuracy of the Kidney Biopsy Direct Immunofluorescence through Convolutional Neural Networks (2020) - Clinical Journal of the American Society of Nephrology
  • Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation (2022) - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Enhancing Patch-Based Learning for the Segmentation of the Mandibular Canal (2024) - IEEE Access
  • One DAG to Rule Them All (2021) - IEEE Transactions on Pattern Analysis and Machine Intelligence

Their research collaborations include frequent partnerships with coauthors such as:

  • Federico Bolelli
  • Luca Lumetti
  • Stefano Allegretti
  • Federico Pollastri
  • Vittorio Pipoli

Best Publications

  • Detecting moving objects, ghosts, and shadows in video streams

    R. Cucchiara;C. Grana;M. Piccardi;A. Prati

  • Improving shadow suppression in moving object detection with HSV color information

    R. Cucchiara;C. Grana;M. Piccardi;A. Prati

  • Probabilistic posture classification for Human-behavior analysis

    R. Cucchiara;C. Grana;A. Prati;R. Vezzani

  • Dynamic Optical Coherence Tomography in Dermatology

    Martina Ulrich;Lotte Themstrup;Nathalie de Carvalho;Marco Manfredi

  • Detecting objects, shadows and ghosts in video streams by exploiting color and motion information

    R. Cucchiara;C. Grana;M. Piccardi;A. Prati

  • Optimized Block-Based Connected Components Labeling With Decision Trees

    Costantino Grana;Daniele Borghesani;Rita Cucchiara

  • Hierarchical Boundary-Aware Neural Encoder for Video Captioning

    Lorenzo Baraldi;Costantino Grana;Rita Cucchiara

  • Shadow detection algorithms for traffic flow analysis: a comparative study

    A. Prati;I. Mikic;C. Grana;M.M. Trivedi

  • Statistic and knowledge-based moving object detection in traffic scenes

    R. Cucchiara;C. Grana;M. Piccardi;A. Prati

  • The Sakbot System for Moving Object Detection and Tracking

    Rita Cucchiara;Costantino Grana;Gianni Neri;Massimo Piccardi

  • A new algorithm for border description of polarized light surface microscopic images of pigmented skin lesions

    C. Grana;G. Pellacani;R. Cucchiara;S. Seidenari

  • Probabilistic people tracking for occlusion handling

    R. Cucchiara;C. Grana;G. Tardini;R. Vezzani

  • A Deep Siamese Network for Scene Detection in Broadcast Videos

    Lorenzo Baraldi;Costantino Grana;Rita Cucchiara

  • Spaghetti Labeling: Directed Acyclic Graphs for Block-Based Connected Components Labeling

    Federico Bolelli;Stefano Allegretti;Lorenzo Baraldi;Costantino Grana

  • Comparison of color clustering algorithms for segmentation of dermatological images

    Rudy Mirko Melli;Costantino Grana;Rita Cucchiara

  • Computer vision system for in-house video surveillance

    Rita Cucchiara;Costantino Grana;Andrea Prati;Roberto Vezzani

  • Linear Transition Detection as a Unified Shot Detection Approach

    C. Grana;R. Cucchiara

  • Augmenting data with GANs to segment melanoma skin lesions

    Federico Pollastri;Federico Bolelli;Roberto Paredes;Costantino Grana

  • A Hough transform-based method for radial lens distortion correction

    R. Cucchiara;C. Grana;A. Prati;R. Vezzani

  • Shot and Scene Detection via Hierarchical Clustering for Re-using Broadcast Video

    Lorenzo Baraldi;Costantino Grana;Rita Cucchiara

  • In vivo confocal scanning laser microscopy of pigmented Spitz nevi: Comparison of in vivo confocal images with dermoscopy and routine histopathology

    Giovanni Pellacani;Anna Maria Cesinaro;Costantino Grana;Stefania Seidenari

  • Practical color calibration for dermoscopy, applied to a digital epiluminescence microscope.

    Costantino Grana;Giovanni Pellacani;Stefania Seidenari

  • Pigment distribution in melanocytic lesion images: a digital parameter to be employed for computer-aided diagnosis.

    Stefania Seidenari;Giovanni Pellacani;Costantino Grana

  • A fast approach for integrating ORB descriptors in the bag of words model

    Costantino Grana;Daniele Borghesani;Marco Manfredi;Rita Cucchiara

Frequent Co-Authors

Rita Cucchiara
Rita Cucchiara University of Modena and Reggio Emilia
Giovanni Pellacani
Giovanni Pellacani Sapienza University of Rome
Roberto Vezzani
Roberto Vezzani University of Modena and Reggio Emilia
Andrea Prati
Andrea Prati University of Parma
Giuseppe Serra
Giuseppe Serra University of Udine
Massimo Piccardi
Massimo Piccardi University of Technology Sydney
Marco Bertini
Marco Bertini University of Florence
Simone Calderara
Simone Calderara University of Modena and Reggio Emilia
Alberto Del Bimbo
Alberto Del Bimbo University of Florence
Mohan M. Trivedi
Mohan M. Trivedi University of California, San Diego

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