World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
4709
World Ranking
11772
National Ranking
397

Stefano Tebaldini 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 Stefano Tebaldini 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: 241 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Stefano Tebaldini 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 Stefano Tebaldini 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Stefano Tebaldini is affiliated with the Polytechnic University of Milan in Italy and has contributed extensively to the fields of Engineering and Environmental Science, with a strong focus on aerospace and environmental engineering subfields. Their research largely centers on Synthetic Aperture Radar (SAR) applications and techniques, advanced SAR imaging methods, and microwave imaging and scattering analysis.

Their recent publications include:

  • "Forest SAR Tomography: Principles and Applications" (2020) published in IEEE Geoscience and Remote Sensing Magazine
  • "Navigation-Aided Automotive SAR for High-Resolution Imaging of Driving Environments" (2021) published in IEEE Access
  • "Sensing the Urban Environment by Automotive SAR Imaging: Potentials and Challenges" (2022) published in Remote Sensing
  • "Mapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data" (2020) published in Remote Sensing of Environment
  • "Motion Estimation and Compensation in Automotive MIMO SAR" (2022) published in IEEE Transactions on Intelligent Transportation Systems

Stefano Tebaldini collaborates frequently with a range of co-authors. Regular collaborators include Marco Manzoni, Andrea Monti Guarnieri, Claudio Maria Prati, Dario Tagliaferri, and Umberto Spagnolini, reflecting a network engaged in advancing radar and remote sensing technologies.

The scientist's publication venues demonstrate a pattern of consistent contributions to specialized journals and conferences, including:

  • Remote Sensing
  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • 2022 IEEE Radar Conference (RadarConf22)
  • IEEE Geoscience and Remote Sensing Magazine

Main areas of study within their work cover broad engineering disciplines, specifically aerospace engineering and environmental engineering, with research topics focusing on:

  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Advanced SAR Imaging Techniques
  • Microwave Imaging and Scattering Analysis
  • Landslides and related hazards
  • Remote Sensing and LiDAR Applications
  • Soil Moisture and Remote Sensing
  • Radar Systems and Signal Processing

Best Publications

  • On the Exploitation of Target Statistics for SAR Interferometry Applications

    A.M. Guarnieri;S. Tebaldini

  • Multibaseline Polarimetric SAR Tomography of a Boreal Forest at P- and L-Bands

    S. Tebaldini;F. Rocca

  • The European Space Agency BIOMASS mission: Measuring forest above-ground biomass from space

    Shaun Quegan;Thuy Le Toan;Jerome Chave;Jorgen Dall

  • Algebraic Synthesis of Forest Scenarios From Multibaseline PolInSAR Data

    S. Tebaldini

  • Relating P-Band Synthetic Aperture Radar Tomography to Tropical Forest Biomass

    Dinh Ho Tong Minh;Thuy Le Toan;Fabio Rocca;Stefano Tebaldini

  • Single and Multipolarimetric SAR Tomography of Forested Areas: A Parametric Approach

    Stefano Tebaldini

  • SAR tomography for the retrieval of forest biomass and height: cross-validation at two tropical forest sites in French Guiana

    Dinh Ho Tong Minh;Dinh Ho Tong Minh;Thuy Le Toan;Fabio Rocca;Stefano Tebaldini

  • Phase Calibration of Airborne Tomographic SAR Data via Phase Center Double Localization

    Stefano Tebaldini;Fabio Rocca;Mauro Mariotti d'Alessandro;Laurent Ferro-Famil

  • Hybrid CramÉr–Rao Bounds for Crustal Displacement Field Estimators in SAR Interferometry

    A.M. Guarnieri;S. Tebaldini

  • On the Role of Phase Stability in SAR Multibaseline Applications

    Stefano Tebaldini;Andrea Monti Guarnieri

  • Imaging the Internal Structure of an Alpine Glacier via L-Band Airborne SAR Tomography

    Stefano Tebaldini;Thomas Nagler;Helmut Rott;Achim Heilig

  • Capabilities of BIOMASS Tomography for Investigating Tropical Forests

    Dinh Ho Tong Minh;Stefano Tebaldini;Fabio Rocca;Thuy Le Toan

  • Forest SAR Tomography: Principles and Applications

    Hossein Aghababaei;Giampaolo Ferraioli;Laurent Ferro-Famil;Yue Huang

  • Digital Terrain Model Retrieval in Tropical Forests Through P-Band SAR Tomography

    Mauro Mariotti D'Alessandro;Stefano Tebaldini

  • BIOSAR 2007:Technical Assistance for the Development of Airborne SAR and Geophysical Measurements during the BioSAR 2007 Experiment

    Irena Hajnsek;Rolf Scheiber;Seungkuk Lee;Lars Ulander

  • Phenomenology of Ground Scattering in a Tropical Forest Through Polarimetric Synthetic Aperture Radar Tomography

    Mauro Mariotti d'Alessandro;Stefano Tebaldini;Fabio Rocca

  • Navigation-Aided Automotive SAR for High-Resolution Imaging of Driving Environments

    Dario Tagliaferri;Marco Rizzi;Monica Nicoli;Stefano Tebaldini

  • Mapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data

    Maciej J. Soja;Maciej J. Soja;Shaun Quegan;Mauro M. d’Alessandro;Francesco Banda

  • Snowpack permittivity profile retrieval from tomographic SAR data

    Badreddine Rekioua;Badreddine Rekioua;Matthieu Davy;Laurent Ferro-Famil;Stefano Tebaldini

  • Forest Biomass Retrieval From L-Band SAR Using Tomographic Ground Backscatter Removal

    Erik Blomberg;Laurent Ferro-Famil;Maciej J. Soja;Lars M. H. Ulander

  • SAR Calibration Aided by Permanent Scatterers

    D. D'Aria;A. Ferretti;A.M. Guarnieri;S. Tebaldini

  • Phenomenology of P-Band Scattering From a Tropical Forest Through Three-Dimensional SAR Tomography

    Mauro Mariotti d'Alessandro;S. Tebaldini

Frequent Co-Authors

Fabio Rocca
Fabio Rocca Polytechnic University of Milan
Thuy Le Toan
Thuy Le Toan Paul Sabatier University
Lars M. H. Ulander
Lars M. H. Ulander Chalmers University of Technology
Klaus Scipal
Klaus Scipal European Space Agency
Shaun Quegan
Shaun Quegan University of Sheffield
Mingsheng Liao
Mingsheng Liao Wuhan University
Claudio Prati
Claudio Prati Polytechnic University of Milan
Jérôme Chave
Jérôme Chave Paul Sabatier University
Sassan Saatchi
Sassan Saatchi California Institute of Technology
Umberto Spagnolini
Umberto Spagnolini Polytechnic University of Milan

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