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Tommaso Moramarco publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Tommaso Moramarco sits on this spectrum.

38–42 publications: 1 scientists 43–47 publications: 0 scientists 48–52 publications: 3 scientists 53–57 publications: 8 scientists 58–62 publications: 11 scientists 63–67 publications: 16 scientists 68–72 publications: 24 scientists 73–77 publications: 31 scientists 78–82 publications: 49 scientists 83–87 publications: 77 scientists 88–92 publications: 86 scientists 93–97 publications: 88 scientists 98–102 publications: 92 scientists 103–107 publications: 84 scientists 108–112 publications: 102 scientists 113–117 publications: 108 scientists 118–122 publications: 117 scientists 123–127 publications: 126 scientists 128–132 publications: 146 scientists 133–137 publications: 114 scientists 138–142 publications: 102 scientists 143–147 publications: 127 scientists 148–152 publications: 102 scientists 153–157 publications: 112 scientists 158–162 publications: 102 scientists 163–167 publications: 127 scientists 168–172 publications: 121 scientists 173–177 publications: 112 scientists 178–182 publications: 109 scientists 183–187 publications: 98 scientists 188–192 publications: 92 scientists 193–197 publications: 105 scientists 198–202 publications: 77 scientists 203–207 publications: 80 scientists 208–212 publications: 89 scientists 213–217 publications: 70 scientists 218–222 publications: 74 scientists 223–227 publications: 74 scientists 228–232 publications: 70 scientists 233–237 publications: 67 scientists 238–242 publications: 59 scientists 243–247 publications: 67 scientists 248–252 publications: 51 scientists 253–257 publications: 46 scientists 258–262 publications: 41 scientists 263–267 publications: 39 scientists 268–272 publications: 34 scientists 273–277 publications: 39 scientists 278–282 publications: 35 scientists 283–287 publications: 36 scientists 288–292 publications: 35 scientists 293–297 publications: 29 scientists 298–302 publications: 23 scientists 303–307 publications: 39 scientists 308–312 publications: 34 scientists 313–317 publications: 23 scientists 318–322 publications: 18 scientists 323–327 publications: 18 scientists 328–332 publications: 21 scientists 333–337 publications: 20 scientists 338–342 publications: 15 scientists 343–347 publications: 13 scientists 348–352 publications: 24 scientists 353–357 publications: 25 scientists 358–362 publications: 10 scientists 363–367 publications: 20 scientists 368–372 publications: 17 scientists 373–377 publications: 18 scientists 378–382 publications: 15 scientists 383–387 publications: 7 scientists 388–392 publications: 22 scientists 393–397 publications: 9 scientists 398–402 publications: 11 scientists 403–407 publications: 16 scientists 408–412 publications: 4 scientists 413–417 publications: 5 scientists 418–422 publications: 14 scientists 423–427 publications: 8 scientists 428–432 publications: 7 scientists 433–437 publications: 7 scientists 438–442 publications: 10 scientists 443–447 publications: 10 scientists 448–452 publications: 3 scientists 453–457 publications: 9 scientists 458–462 publications: 11 scientists 463–467 publications: 4 scientists 468–472 publications: 6 scientists 473–477 publications: 11 scientists 478–482 publications: 8 scientists 483–487 publications: 2 scientists 488–492 publications: 3 scientists 493–497 publications: 4 scientists 498–502 publications: 4 scientists 503–507 publications: 4 scientists 508–509 publications: 4 scientists 510+ publications: 100 scientists
38 publications 510+

The last bar groups every scientist with 510 publications or more.

Tommaso Moramarco D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Tommaso Moramarco sits on this spectrum.

30 D-Index: 15 scientists 31 D-Index: 42 scientists 32 D-Index: 60 scientists 33 D-Index: 90 scientists 34 D-Index: 103 scientists 35 D-Index: 108 scientists 36 D-Index: 142 scientists 37 D-Index: 147 scientists 38 D-Index: 147 scientists 39 D-Index: 152 scientists 40 D-Index: 143 scientists 41 D-Index: 157 scientists 42 D-Index: 141 scientists 43 D-Index: 151 scientists 44 D-Index: 140 scientists 45 D-Index: 135 scientists 46 D-Index: 121 scientists 47 D-Index: 108 scientists 48 D-Index: 128 scientists 49 D-Index: 111 scientists 50 D-Index: 106 scientists 51 D-Index: 112 scientists 52 D-Index: 102 scientists 53 D-Index: 103 scientists 54 D-Index: 94 scientists 55 D-Index: 61 scientists 56 D-Index: 101 scientists 57 D-Index: 71 scientists 58 D-Index: 65 scientists 59 D-Index: 78 scientists 60 D-Index: 93 scientists 61 D-Index: 56 scientists 62 D-Index: 58 scientists 63 D-Index: 52 scientists 64 D-Index: 63 scientists 65 D-Index: 49 scientists 66 D-Index: 53 scientists 67 D-Index: 57 scientists 68 D-Index: 50 scientists 69 D-Index: 44 scientists 70 D-Index: 44 scientists 71 D-Index: 31 scientists 72 D-Index: 33 scientists 73 D-Index: 33 scientists 74 D-Index: 23 scientists 75 D-Index: 32 scientists 76 D-Index: 24 scientists 77 D-Index: 17 scientists 78 D-Index: 19 scientists 79 D-Index: 9 scientists 80 D-Index: 21 scientists 81 D-Index: 20 scientists 82 D-Index: 17 scientists 83 D-Index: 19 scientists 84 D-Index: 19 scientists 85 D-Index: 14 scientists 86 D-Index: 6 scientists 87 D-Index: 14 scientists 88 D-Index: 17 scientists 89 D-Index: 10 scientists 90 D-Index: 8 scientists 91 D-Index: 8 scientists 92 D-Index: 9 scientists 93 D-Index: 6 scientists 94+ D-Index: 98 scientists
30 D-Index 94+

The last bar groups every scientist with 94 D-Index or more.

Overview

Tommaso Moramarco is affiliated with the National Research Council (CNR) in Italy. Their research lies primarily within the field of Environmental Science, with a focus on several subfields including Global and Planetary Change, Ecology, Water Science and Technology, Civil and Structural Engineering, and Atmospheric Science.

The scientist's work covers multiple main topics in environmental and hydrological research. These include:

  • Hydrology and Sediment Transport Processes
  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Hydraulic Flow and Structures
  • Hydrology and Drought Analysis
  • Fish Ecology and Management Studies
  • Precipitation Measurement and Analysis

Tommaso Moramarco has published frequently in several scientific journals. The venues where they have contributed most include:

  • Journal of Hydrology
  • Water Resources Research
  • Remote Sensing
  • Hydrological Sciences Journal
  • Water

Some recent papers authored or coauthored by Moramarco illustrate a focus on hydrological monitoring, remote sensing, and river discharge estimation. Notable examples from recent years are:

  • "Spatio-temporal analysis and forecasting of drought in the plains of northwestern Algeria using the standardized precipitation index," 2020, Journal of Earth System Science
  • "Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "Prediction of river discharges at confluences based on Entropy theory and surface-velocity measurements," 2022, Journal of Hydrology
  • "QCam: sUAS-Based Doppler Radar for Measuring River Discharge," 2020, Remote Sensing
  • "Near-Field Remote Sensing of Surface Velocity and River Discharge Using Radars and the Probability Concept at 10 U.S. Geological Survey Streamgages," 2020, Remote Sensing

The scientist collaborates frequently with a number of co-authors, including Silvia Barbetta, Donatella Termini, Farhad Bahmanpouri, Luigi Fraccarollo, and John W. Fulton. Collaboration counts with these coauthors range from 4 to 14 works.

Best Publications

  • Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe

    L. Brocca;S. Hasenauer;T. Lacava;F. Melone

  • Soil moisture spatial variability in experimental areas of central Italy

    L. Brocca;Renato Morbidelli;F. Melone;T. Moramarco

  • Spatial-temporal variability of soil moisture and its estimation across scales

    L. Brocca;F. Melone;T. Moramarco;R. Morbidelli

  • Improving runoff prediction through the assimilation of the ASCAT soil moisture product

    Luca Brocca;F. Melone;T. Moramarco;Wolfgang Wagner

  • Soil as a natural rain gauge: Estimating global rainfall from satellite soil moisture data

    Luca Brocca;Luca Ciabatta;Christian Massari;Tommaso Moramarco

  • Soil moisture temporal stability over experimental areas in Central Italy

    L. Brocca;F. Melone;T. Moramarco;R. Morbidelli

  • On the estimation of antecedent wetness conditions in rainfall–runoff modelling

    L. Brocca;F. Melone;T. Moramarco

  • Catchment scale soil moisture spatial–temporal variability

    L. Brocca;T. Tullo;F. Melone;T. Moramarco

  • Assimilation of Surface- and Root-Zone ASCAT Soil Moisture Products Into Rainfall–Runoff Modeling

    L. Brocca;T. Moramarco;F. Melone;W. Wagner

  • A new method for rainfall estimation through soil moisture observations

    L. Brocca;T. Moramarco;F. Melone;W. Wagner

  • ASCAT soil wetness index validation through in situ and modeled soil moisture data in central Italy

    L. Brocca;F. Melone;T. Moramarco;W. Wagner

  • Measurements and Observations in the XXI century (MOXXI): innovation and multi-disciplinarity to sense the hydrological cycle

    Flavia Tauro;John Selker;Nick van de Giesen;Tommaso Abrate

  • Estimation of Mean Velocity in Natural Channels Based on Chiu's Velocity Distribution Equation

    Tommaso Moramarco;Carla Saltalippi;Vijay P. Singh

  • Assimilation of Observed Soil Moisture Data in Storm Rainfall-Runoff Modeling

    L. Brocca;L. Brocca;F. Melone;F. Melone;T. Moramarco;T. Moramarco;V. P. Singh;V. P. Singh

  • Distributed rainfall-runoff modelling for flood frequency estimation and flood forecasting

    L. Brocca;F. Melone;T. Moramarco

  • River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling

    Angelica Tarpanelli;Silvia Barbetta;Luca Brocca;Tommaso Moramarco

  • Influence of land use on soil moisture spatial-temporal variability and monitoring

    G. Zucco;L. Brocca;T. Moramarco;R. Morbidelli

  • Potential of soil moisture observations in flood modelling : estimating initial conditions and correcting rainfall

    Christian Massari;Luca Brocca;Tommaso Moramarco;Yves Tramblay

  • Antecedent wetness conditions based on ERS scatterometer data.

    L. Brocca;F. Melone;T. Moramarco;R. Morbidelli

  • Spatiotemporal densification of river water level time series by multimission satellite altimetry

    M. J. Tourian;A. Tarpanelli;O. Elmi;T. Qin

  • Formulation of the Entropy Parameter Based on Hydraulic and Geometric Characteristics of River Cross Sections

    Tommaso Moramarco;Vijay P. Singh

Frequent Co-Authors

Luca Brocca
Luca Brocca National Research Council (CNR)
Angelica Tarpanelli
Angelica Tarpanelli National Research Council (CNR)
Vijay P. Singh
Vijay P. Singh Texas A&M University
Christian Massari
Christian Massari National Research Council (CNR)
Renato Morbidelli
Renato Morbidelli University of Perugia
Marco Franchini
Marco Franchini University of Ferrara
Patrick Matgen
Patrick Matgen Luxembourg Institute of Science and Technology
Attilio Castellarin
Attilio Castellarin University of Bologna
Salvatore Manfreda
Salvatore Manfreda University of Naples Federico II
Valerio Tramutoli
Valerio Tramutoli University of Basilicata

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