World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7462
World Ranking
9666
National Ranking
279

Paolo Ferrazzoli 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 Paolo Ferrazzoli 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: 176 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Paolo Ferrazzoli 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 Paolo Ferrazzoli 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Paolo Ferrazzoli is affiliated with the University of Rome Tor Vergata in Italy. Their research focuses primarily on Environmental Science, with significant contributions to the subfields of Environmental Engineering, Aerospace Engineering, and Atmospheric Science. The scope of their work covers various aspects of remote sensing and earth observation technologies, applied in environmental monitoring contexts.

The scientist has published in several specialized venues, with frequent contributions to:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Global Change Biology
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • International Journal of Remote Sensing

Paolo Ferrazzoli's main research topics include:

  • Soil Moisture and Remote Sensing
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Precipitation Measurement and Analysis
  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Plant Water Relations and Carbon Dynamics
  • Soil Geostatistics and Mapping

Their recent scholarly works feature studies on vegetation optical depth monitoring, microwave scattering, and the correlation between different remote sensing products. Notable publications include:

  • "Monitoring tropical forests under a functional perspective with satellite-based vegetation optical depth" (2020), published in Global Change Biology
  • "Influence of Vegetation Height, Plant Area Index, and Forest Intactness on SMOS L-VOD, for Different Seasons and Latitude Ranges" (2023), published in IEEE Transactions on Geoscience and Remote Sensing
  • "SMOS L-VOD Retrieved by Level 2 Algorithm and its Correlation With GEDI LIDAR Products" (2021), published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "Microwave Scattering (1-10 GHz) From a Vertically Heterogeneous Grass Canopy" (2022), published in IEEE Transactions on Geoscience and Remote Sensing
  • "Relationship Between Active and Passive Microwave Signals Over Vegetated Surfaces" (2021), published in IEEE Transactions on Geoscience and Remote Sensing

Their research is frequently collaborative, with several repeated co-authors. These include Leila Guerriero, Cristina Vittucci, Gaia Vaglio Laurin, Gianluca Tramontana, and Dario Papale.

Best Publications

  • The SMOS Soil Moisture Retrieval Algorithm

    Y. H. Kerr;P. Waldteufel;P. Richaume;J. P. Wigneron

  • L-band Microwave Emission of the Biosphere (L-MEB) Model: Description and calibration against experimental data sets over crop fields

    J.P. Wigneron;Y.H. Kerr;P. Waldteufel;K. Saleh

  • Modelling the Passive Microwave Signature from Land Surfaces: A Review of Recent Results and Application to the L-Band SMOS SMAP Soil Moisture Retrieval Algorithms

    J.-P. Wigneron;T.J. Jackson;P. O'Neill;G. De Lannoy

  • Retrieving near-surface soil moisture from microwave radiometric observations: current status and future plans

    J.-P Wigneron;J.-C Calvet;T Pellarin;A.A Van de Griend

  • Passive microwave remote sensing of forests: a model investigation

    P. Ferrazzoli;L. Guerriero

  • Flood monitoring using multi-temporal COSMO-SkyMed data: Image segmentation and signature interpretation

    L. Pulvirenti;M. Chini;N. Pierdicca;L. Guerriero

  • The potential of multifrequency polarimetric SAR in assessing agricultural and arboreous biomass

    P. Ferrazzoli;S. Paloscia;P. Pampaloni;G. Schiavon

  • Simulating L-band emission of forests in view of future satellite applications

    P. Ferrazzoli;L. Guerriero;J.-P. Wigneron

  • Retrieving soil moisture and agricultural variables by microwave radiometry using neural networks

    F Del Frate;P Ferrazzoli;G Schiavon

  • Sensitivity to microwave measurements to vegetation biomass and soil moisture content: a case study

    P. Ferrazzoli;S. Paloscia;P. Pampaloni;G. Schiavon

  • Forest biomass monitoring with GNSS-R: Theoretical simulations

    P. Ferrazzoli;L. Guerriero;N. Pierdicca;R. Rahmoune

  • Two-year global simulation of L-band brightness temperatures over land

    T. Pellarin;J.-P. Wigneron;J.-C. Calvet;M. Berger

  • SAR polarimetric features of agricultural areas

    S. Baronti;F. Del Frate;P. Ferrazzoli;S. Paloscia

  • Case study of intense scintillation events on the OTS path

    P. Basili;P. Ciotti;G. D'Auria;P. Ferrazzoli

  • Experimental and model investigation on radar classification capability

    P. Ferrazzoli;L. Guerriero;G. Schiavon

  • C-band polarimetric indexes for maize monitoring based on a validated radiative transfer model

    X. Blaes;P. Defourny;U. Wegmuller;A. Della Vecchia

  • A simple approach to monitor crop biomass from C-band radar data

    J.-P. Wigneron;P. Ferrazzoli;A. Olioso;P. Bertuzzi

  • SMOS Level 2 Retrieval Algorithm Over Forests: Description and Generation of Global Maps

    R. Rahmoune;P. Ferrazzoli;Y. H. Kerr;P. Richaume

  • SMOS retrieval over forests: Exploitation of optical depth and tests of soil moisture estimates

    C. Vittucci;P. Ferrazzoli;Y. Kerr;P. Richaume

  • Modeling Forest Emissivity at L-Band and a Comparison With Multitemporal Measurements

    A. Della Vecchia;P. Ferrazzoli;J.-P. Wigneron;J.P. Grant

Frequent Co-Authors

Jean-Pierre Wigneron
Jean-Pierre Wigneron University of Rennes
Philippe Richaume
Philippe Richaume Centre national de la recherche scientifique, CNRS
Simonetta Paloscia
Simonetta Paloscia National Research Council (CNR)
Nazzareno Pierdicca
Nazzareno Pierdicca Sapienza University of Rome
Yann Kerr
Yann Kerr Federal University of Toulouse Midi-Pyrénées
Jean-Christophe Calvet
Jean-Christophe Calvet Centre national de la recherche scientifique, CNRS
Arnaud Mialon
Arnaud Mialon Centre national de la recherche scientifique, CNRS
Zhongbo Su
Zhongbo Su University of Twente
Ahmad Al Bitar
Ahmad Al Bitar Federal University of Toulouse Midi-Pyrénées
Urs Wegmüller
Urs Wegmüller Gamma Remote Sensing (Switzerland)

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