World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
36
Citations
4511
World Ranking
9172
National Ranking
346

Luigi Renzullo publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Luigi Renzullo sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 121 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Luigi Renzullo D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Luigi Renzullo sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 36 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Luigi Renzullo is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia. Their research primarily contributes to the fields of Environmental Science and Earth and Planetary Sciences, with significant focus on subfields including Global and Planetary Change, Environmental Engineering, Atmospheric Science, Ecology, and Water Science and Technology.

The scientist's recent publications cover a spectrum of topics related to soil moisture, climate variability, drought monitoring, and precipitation modeling. Notable papers include:

  • "Comprehensive analysis of alternative downscaled soil moisture products," 2020, published in Remote Sensing of Environment
  • "Remotely sensed reservoir water storage dynamics (1984-2015) and the influence of climate variability and management at a global scale," 2022, Hydrology and earth system sciences
  • "The Soil Moisture Active Passive Experiments: Validation of the SMAP Products in Australia," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics," 2020, Journal of Advances in Modeling Earth Systems
  • "On agricultural drought monitoring in Australia using Himawari-8 geostationary thermal infrared observations," 2020, International Journal of Applied Earth Observation and Geoinformation

Their research topics frequently address Soil Moisture and Remote Sensing, Climate change and permafrost, Flood Risk Assessment and Management, Remote Sensing in Agriculture, Precipitation Measurement and Analysis, Plant Water Relations and Carbon Dynamics, and Hydrology and Watershed Management Studies.

Frequent co-authors include Albert I. J. M. van Dijk, Siyuan Tian, Chad Burton, Sami W. Rifai, and Yi Yu. These collaborations have contributed to a diverse body of work published mainly in venues such as Remote Sensing of Environment, Zenodo (CERN European Organization for Nuclear Research), SSRN Electronic Journal, Hydrology and earth system sciences, and Earth system science data.

This scientific profile reflects a focused research career with contributions to understanding environmental processes through remote sensing, hydrological analysis, and climate impact studies.

Best Publications

  • Estimating fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil in the Australian tropical savanna region upscaling the EO-1 Hyperion and MODIS sensors.

    Juan Pablo Guerschman;Michael J. Hill;Luigi J. Renzullo;Damian J. Barrett

  • Water resource monitoring systems and the role of satellite observations

    A. I. J. M. van Dijk;L. J. Renzullo

  • A spatial assessment framework for evaluating flood risk under extreme climates.

    Yun Chen;Rui Liu;Rui Liu;Damian Barrett;Lei Gao

  • Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data

    Juan P. Guerschman;Peter F. Scarth;Tim R. McVicar;Tim R. McVicar;Luigi J. Renzullo

  • Spatially enhanced passive microwave derived soil moisture: Capabilities and opportunities

    Sabah Sabaghy;Jeffrey P. Walker;Luigi J. Renzullo;Thomas J. Jackson

  • A global water cycle reanalysis (2003-2012) merging satellite gravimetry and altimetry observations with a hydrological multi-model ensemble

    A. I. J. M. van Dijk;L. J. Renzullo;Y. Wada;P. Tregoning

  • Improved water balance component estimates through joint assimilation of GRACE water storage and SMOS soil moisture retrievals

    Siyuan Tian;Paul Tregoning;Luigi John Renzullo;Albert Ide Jan Martijn van Dijk

  • Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment

    L.J. Renzullo;A.I.J.M. van Dijk;J.-M. Perraud;D. Collins

  • The efficacy of calibrating hydrologic model using remotely sensed evapotranspiration and soil moisture for streamflow prediction

    A. Kunnath-Poovakka;D. Ryu;L.J. Renzullo;B. George

  • OptIC project: An intercomparison of optimization techniques for parameter estimation in terrestrial biogeochemical models

    Cathy M. Trudinger;Michael R. Raupach;Peter J. Rayner;Jens Kattge

  • Evaluating geostatistical methods of blending satellite and gauge data to estimate near real-time daily rainfall for Australia

    Adrian Chappell;Luigi J. Renzullo;Tim H. Raupach;Malcolm Haylock

  • Evaluation of Precipitation Estimation Accuracy in Reanalyses, Satellite Products, and an Ensemble Method for Regions in Australia and South and East Asia

    Jorge L. Peña-Arancibia;Albert I. J. M. van Dijk;Luigi J. Renzullo;Mark Mulligan

  • Comprehensive analysis of alternative downscaled soil moisture products

    Sabah Sabaghy;Jeffrey P. Walker;Luigi J. Renzullo;Ruzbeh Akbar

  • Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals

    Tian Hu;Tian Hu;Tian Hu;Luigi J. Renzullo;Albert I.J.M. van Dijk;Jie He

  • Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations

    Patricia López López;Niko Wanders;Jaap Schellekens;Luigi J. Renzullo

  • Comparison of remotely sensed and modelled soil moisture data sets across Australia

    C.M Holgate;C.M Holgate;R.A.M. De Jeu;A.I.J.M van Dijk;Y.Y Liu

  • Correcting for systematic error in satellite-derived latent heat flux due to assumptions in temporal scaling: Assessment from flux tower observations

    Thomas G. Van Niel;Thomas G. Van Niel;Tim R. McVicar;Michael L. Roderick;Albert I.J.M. van Dijk

  • Use of Gravity Recovery and Climate Experiment terrestrial water storage retrievals to evaluate model estimates by the Australian water resources assessment system

    A. I. J. M. van Dijk;L. J. Renzullo;M. Rodell

  • Multi-sensor model-data fusion for estimation of hydrologic and energy flux parameters

    Luigi J. Renzullo;Damian J. Barrett;Alan S. Marks;Michael J. Hill

  • The Australian Water Resource Assessment Modelling System (AWRA)

    Jai Vaze;Neil Viney;Matt Stenson;Luigi Renzullo

  • Earth observation for water resources management : current use and future opportunities for the water sector

    Inge Pakulski;Marcus Marinus Petrus Wijnen;Tom G. Van Niel;Aleix Serrat Capdevila

  • Forecasting dryland vegetation condition months in advance through satellite data assimilation.

    Siyuan Tian;Albert I. J. M. Van Dijk;Paul Tregoning;Luigi J. Renzullo

Frequent Co-Authors

Albert van Dijk
Albert van Dijk Australian National University
Damian Barrett
Damian Barrett Commonwealth Scientific and Industrial Research Organisation
Tim R. McVicar
Tim R. McVicar Commonwealth Scientific and Industrial Research Organisation
Jeffrey P. Walker
Jeffrey P. Walker Monash University
Paul Tregoning
Paul Tregoning Australian National University
Zhihong Xu
Zhihong Xu Griffith University
Olivier Merlin
Olivier Merlin Paul Sabatier University
Jun Zhou
Jun Zhou Griffith University
Thomas J. Jackson
Thomas J. Jackson Agricultural Research Service

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