World's Best Scientists 2026 revealed!

D-Index & Metrics

Ecology and Evolution

D-Index
41
Citations
5813
World Ranking
5898
National Ranking
111

Fabio Maselli publication distribution in Ecology and Evolution in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Ecology and Evolution in 2026. The highlighted bar marks where Fabio Maselli sits on this spectrum.

37–41 publications: 2 scientists 42–46 publications: 9 scientists 47–51 publications: 10 scientists 52–56 publications: 31 scientists 57–61 publications: 56 scientists 62–66 publications: 91 scientists 67–71 publications: 92 scientists 72–76 publications: 127 scientists 77–81 publications: 173 scientists 82–86 publications: 236 scientists 87–91 publications: 227 scientists 92–96 publications: 240 scientists 97–101 publications: 333 scientists 102–106 publications: 280 scientists 107–111 publications: 300 scientists 112–116 publications: 285 scientists 117–121 publications: 305 scientists 122–126 publications: 287 scientists 127–131 publications: 278 scientists 132–136 publications: 289 scientists 137–141 publications: 273 scientists 142–146 publications: 262 scientists 147–151 publications: 246 scientists 152–156 publications: 235 scientists 157–161 publications: 205 scientists 162–166 publications: 199 scientists 167–171 publications: 174 scientists 172–176 publications: 164 scientists 177–181 publications: 173 scientists 182–186 publications: 189 scientists 187–191 publications: 170 scientists 192–196 publications: 139 scientists 197–201 publications: 128 scientists 202–206 publications: 117 scientists 207–211 publications: 115 scientists 212–216 publications: 107 scientists 217–221 publications: 124 scientists 222–226 publications: 81 scientists 227–231 publications: 82 scientists 232–236 publications: 85 scientists 237–241 publications: 75 scientists 242–246 publications: 66 scientists 247–251 publications: 81 scientists 252–256 publications: 69 scientists 257–261 publications: 70 scientists 262–266 publications: 55 scientists 267–271 publications: 64 scientists 272–276 publications: 49 scientists 277–281 publications: 48 scientists 282–286 publications: 44 scientists 287–291 publications: 45 scientists 292–296 publications: 36 scientists 297–301 publications: 39 scientists 302–306 publications: 38 scientists 307–311 publications: 30 scientists 312–316 publications: 34 scientists 317–321 publications: 25 scientists 322–326 publications: 22 scientists 327–331 publications: 28 scientists 332–336 publications: 30 scientists 337–341 publications: 22 scientists 342–346 publications: 30 scientists 347–351 publications: 26 scientists 352–356 publications: 22 scientists 357–361 publications: 29 scientists 362–366 publications: 21 scientists 367–371 publications: 12 scientists 372–376 publications: 18 scientists 377–381 publications: 17 scientists 382–386 publications: 13 scientists 387–391 publications: 21 scientists 392–396 publications: 13 scientists 397–401 publications: 10 scientists 402–406 publications: 15 scientists 407–411 publications: 8 scientists 412–416 publications: 9 scientists 417–421 publications: 8 scientists 422–426 publications: 4 scientists 427–431 publications: 10 scientists 432–436 publications: 10 scientists 437–441 publications: 5 scientists 442–446 publications: 4 scientists 447–451 publications: 10 scientists 452–456 publications: 2 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 7 scientists 472–476 publications: 6 scientists 477–481 publications: 6 scientists 482–486 publications: 3 scientists 487–491 publications: 3 scientists 492–496 publications: 4 scientists 497–501 publications: 4 scientists 502–506 publications: 8 scientists 507–511 publications: 5 scientists 512–516 publications: 4 scientists 517–521 publications: 5 scientists 522–526 publications: 4 scientists 527–530 publications: 5 scientists 531+ publications: 100 scientists
37 publications 531+

This scientist: 190 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 531 publications or more.

Fabio Maselli D-index placement in Ecology and Evolution in 2026

The chart shows the D-index (discipline H-index) distribution of Ecology and Evolution scientists ranked by Research.com in 2026. The highlighted bar marks where Fabio Maselli sits on this spectrum.

30 D-Index: 95 scientists 31 D-Index: 123 scientists 32 D-Index: 191 scientists 33 D-Index: 245 scientists 34 D-Index: 252 scientists 35 D-Index: 244 scientists 36 D-Index: 249 scientists 37 D-Index: 244 scientists 38 D-Index: 254 scientists 39 D-Index: 254 scientists 40 D-Index: 280 scientists 41 D-Index: 274 scientists 42 D-Index: 266 scientists 43 D-Index: 233 scientists 44 D-Index: 248 scientists 45 D-Index: 208 scientists 46 D-Index: 201 scientists 47 D-Index: 213 scientists 48 D-Index: 207 scientists 49 D-Index: 172 scientists 50 D-Index: 209 scientists 51 D-Index: 199 scientists 52 D-Index: 153 scientists 53 D-Index: 169 scientists 54 D-Index: 163 scientists 55 D-Index: 148 scientists 56 D-Index: 120 scientists 57 D-Index: 146 scientists 58 D-Index: 137 scientists 59 D-Index: 140 scientists 60 D-Index: 104 scientists 61 D-Index: 119 scientists 62 D-Index: 118 scientists 63 D-Index: 99 scientists 64 D-Index: 77 scientists 65 D-Index: 100 scientists 66 D-Index: 86 scientists 67 D-Index: 83 scientists 68 D-Index: 75 scientists 69 D-Index: 94 scientists 70 D-Index: 57 scientists 71 D-Index: 68 scientists 72 D-Index: 59 scientists 73 D-Index: 63 scientists 74 D-Index: 66 scientists 75 D-Index: 60 scientists 76 D-Index: 42 scientists 77 D-Index: 49 scientists 78 D-Index: 39 scientists 79 D-Index: 37 scientists 80 D-Index: 43 scientists 81 D-Index: 41 scientists 82 D-Index: 45 scientists 83 D-Index: 34 scientists 84 D-Index: 40 scientists 85 D-Index: 35 scientists 86 D-Index: 55 scientists 87 D-Index: 24 scientists 88 D-Index: 24 scientists 89 D-Index: 30 scientists 90 D-Index: 23 scientists 91 D-Index: 25 scientists 92 D-Index: 27 scientists 93 D-Index: 27 scientists 94 D-Index: 13 scientists 95 D-Index: 23 scientists 96 D-Index: 12 scientists 97 D-Index: 14 scientists 98 D-Index: 19 scientists 99 D-Index: 16 scientists 100 D-Index: 14 scientists 101 D-Index: 5 scientists 102 D-Index: 21 scientists 103 D-Index: 16 scientists 104 D-Index: 10 scientists 105 D-Index: 7 scientists 106 D-Index: 7 scientists 107 D-Index: 7 scientists 108 D-Index: 6 scientists 109 D-Index: 9 scientists 110 D-Index: 11 scientists 111 D-Index: 12 scientists 112 D-Index: 9 scientists 113 D-Index: 7 scientists 114 D-Index: 3 scientists 115 D-Index: 8 scientists 116 D-Index: 5 scientists 117 D-Index: 11 scientists 118 D-Index: 4 scientists 119 D-Index: 2 scientists 120 D-Index: 5 scientists 121+ D-Index: 100 scientists
30 D-Index 121+

This scientist: 41 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 121 D-Index or more.

Overview

Fabio Maselli is affiliated with the National Research Council (CNR) in Italy. Their research primarily falls within the field of Environmental Science, with a focus on several subfields such as Global and Planetary Change, Ecology, Environmental Engineering, Nature and Landscape Conservation, and Water Science and Technology. The scientist's work spans multiple topics including Plant Water Relations and Carbon Dynamics, Remote Sensing in Agriculture, Remote Sensing and LiDAR Applications, Forest Ecology and Management, Hydrology and Watershed Management Studies, Soil and Unsaturated Flow, and Urban Heat Island Mitigation.

The scientist has contributed to a number of recent research publications. Notable papers include:

  • Lowland Rice Mapping in Sédhiou Region (Senegal) Using Sentinel 1 and Sentinel 2 Data and Random Forest, 2020, Remote Sensing
  • An improved NDVI-based method to predict actual evapotranspiration of irrigated grasses and crops, 2020, Agricultural Water Management
  • Use of Sentinel-2 MSI data to monitor crop irrigation in Mediterranean areas, 2020, International Journal of Applied Earth Observation and Geoinformation
  • Mapping soil organic carbon in Tuscany through the statistical combination of ground observations with ancillary and remote sensing data, 2021, Geoderma
  • Evaluation of Terra/Aqua MODIS and Sentinel-2 MSI NDVI data for predicting actual evapotranspiration in Mediterranean regions, 2020, International Journal of Remote Sensing

Fabio Maselli's frequent co-authors include Marta Chiesi, Luca Fibbi, B. Rapi, P. Battista, and Maurizio Pieri. Their collaborative work spans across numerous publications.

The scientist's research is published predominantly in these venues:

  • Remote Sensing
  • European Journal of Remote Sensing
  • Geoderma
  • Agricultural Water Management
  • International Journal of Applied Earth Observation and Geoinformation

Best Publications

  • A simple model of regional wheat yield based on NDVI data

    M. Moriondo;F. Maselli;M. Bindi

  • An atmospheric correction method for the automatic retrieval of surface reflectances from TM images

    M. A. Gilabert;C. Conese;F. Maselli

  • Monitoring forest conditions in a protected Mediterranean coastal area by the analysis of multiyear NDVI data

    Fabio Maselli

  • Non-parametric and parametric methods using satellite images for estimating growing stock volume in alpine and Mediterranean forest ecosystems

    Gherardo Chirici;Anna Barbati;Piermaria Corona;Marco Marchetti

  • Application of BIOME-BGC to simulate Mediterranean forest processes

    M. Chiesi;F. Maselli;M. Moriondo;L. Fibbi

  • Modelling carbon budget of Mediterranean forests using ground and remote sensing measurements

    M. Chiesi;F. Maselli;M. Bindi;L. Fibbi

  • Combining remote sensing and ancillary data to monitor the gross productivity of water-limited forest ecosystems

    Fabio Maselli;Dario Papale;Nicola Puletti;Gherardo Chirici

  • Integration of High and Low Resolution NDVI Data for Monitoring Vegetation in Mediterranean Environments

    Fabio Maselli;M.Amparo Gilabert;Claudio Conese

  • Multisource Classification of Complex Rural Areas by Statistical and Neural-Network Approaches

    L. Bruzzone;C. Conese;F. Maselli;F. Roli

  • Use of NOAA-AVHRR NDVI images for the estimation of dynamic fire risk in Mediterranean areas

    F Maselli

  • Definition of Spatially Variable Spectral Endmembers by Locally Calibrated Multivariate Regression Analyses

    Fabio Maselli

  • The potential of multifrequency SAR images for estimating forest biomass in Mediterranean areas

    Emanuele Santi;Simonetta Paloscia;Simone Pettinato;Giacomo Fontanelli

  • Operational monitoring of daily evapotranspiration by the combination of MODIS NDVI and ground meteorological data: Application and evaluation in Central Italy

    Fabio Maselli;Dario Papale;Marta Chiesi;Giorgio Matteucci

  • Estimation of Mediterranean forest attributes by the application of k-NN procedures to multitemporal Landsat ETM+ images

    F. Maselli;G. Chirici;L. Bottai;P. Corona

  • Environmental monitoring and crop forecasting in the Sahel through the use of NOAA NDVI data. A case study: Niger 1986–89

    F. Maselli;C. Conese;L. Petkov;M. A. Gilabert

  • Use of remotely sensed and ancillary data for estimating forest gross primary productivity in Italy

    Fabio Maselli;Anna Barbati;Marta Chiesi;Gherardo Chirici

  • Use of NOAA-AVHRR NDVI data for environmental monitoring and crop forecasting in the Sahel. Preliminary results

    F. Maselli;C. Conese;L. Petkov;M.-A. Gilabert

  • Wall-to-wall spatial prediction of growing stock volume based on Italian National Forest Inventory plots and remotely sensed data

    Gherardo Chirici;Francesca Giannetti;Ronald E. McRoberts;Ronald E. McRoberts;Davide Travaglini

  • Use of error matrices to improve area estimates with maximum likelihood classification procedures

    Claudio Conese;Fabio Maselli

  • Modelling the forest carbon budget of a Mediterranean region through the integration of ground and satellite data

    F. Maselli;M. Chiesi;M. Moriondo;L. Fibbi

  • Processing of GAC NDVI data for yield forecasting in the Sahelian region

    F. Maselli;S. Romanelli;L. Bottai;G. Maracchi

  • Evaluation of statistical methods to estimate forest volume in a mediterranean region

    F. Maselli;M. Chiesi

Frequent Co-Authors

Gherardo Chirici
Gherardo Chirici University of Florence
Piermaria Corona
Piermaria Corona The Canadian Real Estate Association
Marco Bindi
Marco Bindi University of Florence
Marco Moriondo
Marco Moriondo National Research Council (CNR)
Marco Marchetti
Marco Marchetti University of Molise
Anna Barbati
Anna Barbati Tuscia University
Massimo Menenti
Massimo Menenti Delft University of Technology
Roberto Tognetti
Roberto Tognetti University of Molise
Dario Papale
Dario Papale Tuscia University
Steven W. Running
Steven W. Running University of Montana

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