World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
64
Citations
16608
World Ranking
2300
National Ranking
64

Massimo Menenti 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 Massimo Menenti 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: 408 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Massimo Menenti 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 Massimo Menenti 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: 64 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Massimo Menenti is affiliated with Delft University of Technology in the Netherlands and has a research profile strongly focused on environmental and earth sciences. Their body of work contributes extensively to fields such as Environmental Science and Earth and Planetary Sciences.

Their publication record encompasses a variety of subfields including Global and Planetary Change, Atmospheric Science, Environmental Engineering, Ecology, and Water Science and Technology.

Major topics addressed in Menenti's research include:

  • Remote Sensing in Agriculture
  • Cryospheric studies and observations
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Climate change and permafrost
  • Urban Heat Island Mitigation
  • Land Use and Ecosystem Services

Menenti has published frequently in several scientific venues, among them:

  • Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • Urban Climate
  • International Journal of Digital Earth
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Recent papers demonstrate a focus on nature-based solutions, remote sensing methods, and environmental drivers, with notable publications including:

  • Nature-based solutions efficiency evaluation against natural hazards: Modelling methods, advantages and limitations (2021), published in The Science of The Total Environment
  • An overview of monitoring methods for assessing the performance of nature-based solutions against natural hazards (2021), published in Earth-Science Reviews
  • Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion (2020), published in Remote Sensing of Environment
  • Challenges and Opportunities in Lidar Remote Sensing (2021), published in Frontiers in Remote Sensing
  • Environmental and anthropogenic drivers of surface urban heat island intensity: A case-study in the Yangtze River Delta, China (2021), published in Ecological Indicators

Menenti has collaborated frequently with several researchers, including Jia Li, Chaolei Zheng, Min Jiang, Jie Zhou, and Yelong Zeng.

Best Publications

  • A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation

    Wim G.M. Bastiaanssen;M. Menenti;R. A. Feddes;A. A. M. Holtslag

  • S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance

    G.J. Roerink;Zhongbo Su;M. Menenti

  • Reconstructing cloudfree NDVI composites using Fourier analysis of time series

    G.J. Roerink;M. Menenti;W. Verhoef

  • Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points

    Sylvie Soudarissanane;Roderik Lindenbergh;Massimo Menenti;Peter Teunissen

  • Reconstruction of global MODIS NDVI time series: performance of harmonic analysis of time series (HANTS).

    Jie Zhou;Li Jia;Massimo Menenti;Massimo Menenti

  • Mapping vegetation-soil-climate complexes in southern Africa using temporal Fourier analysis of NOAA-AVHRR NDVI data

    S. Azzali;M. Menenti

  • Remote Sensing for Crop Water Management: From ET Modelling to Services for the End Users.

    Alfonso Calera;Isidro Campos;Anna Osann;Guido D'Urso

  • Mapping agroecological zones and time lag in vegetation growth by means of Fourier analysis of time series of NDVI images

    M. Menenti;S. Azzali;W. Verhoef;R. van Swol

  • Assessment of climate impact on vegetation dynamics by using remote sensing

    G.J. Roerink;M. Menenti;W. Soepboer;Zhongbo Su

  • Nature-based solutions efficiency evaluation against natural hazards : Modelling methods, advantages and limitations

    Prashant Kumar;Sisay E. Debele;Jeetendra Sahani;Nidhi Rawat

  • Comparison of MOD16 and LSA-SAF MSG evapotranspiration products over Europe for 2011

    Guangcheng Hu;Li Jia;Massimo Menenti

  • A colour composite of NOAA-AVHRR-NDVI based on time series analysis (1981-1992)

    W. Verhoef;M. Menenti;S. Azzali

  • Estimation of sensible heat flux using the Surface Energy Balance System (SEBS) and ATSR measurements

    Li Jia;Li Jia;Zhongbo Su;Bart van den Hurk;Massimo Menenti

  • An overview of monitoring methods for assessing the performance of nature-based solutions against natural hazards

    Prashant Kumar;Prashant Kumar;Sisay E. Debele;Jeetendra Sahani;Nidhi Rawat

  • ICESat derived elevation changes of Tibetan lakes between 2003 and 2009

    Vu Hien Phan;Roderik C. Lindenbergh;Massimo Menenti

  • Aerosol characteristics and impacts on weather and climate over the Tibetan Plateau.

    Chuanfeng Zhao;Yikun Yang;Hao Fan;Jianping Huang

  • Physical aspects and determination of evaporation in deserts applying remote sensing techniques

    M. Menenti

  • Separation of Ground and Low Vegetation Signatures in LiDAR Measurements of Salt-Marsh Environments

    Cheng Wang;M. Menenti;M.-P. Stoll;A. Feola

  • SkelTre: Robust skeleton extraction from imperfect point clouds

    Alexander Bucksch;Roderik Lindenbergh;Massimo Menenti

  • Aggregation effects of surface heterogeneity in land surface processes

    Zhongbo Su;H. Pelgrum;M. Menenti

  • Comparing thresholding with machine learning classifiers for mapping complex water

    Tsitsi Bangira;Silvia Maria Alfieri;Massimo Menenti;Adriaan van Niekerk

Frequent Co-Authors

Zhongbo Su
Zhongbo Su University of Twente
Yaoming Ma
Yaoming Ma Chinese Academy of Sciences
Jie Zhou
Jie Zhou Delft University of Technology
Wim G.M. Bastiaanssen
Wim G.M. Bastiaanssen Delft University of Technology
José A. Sobrino
José A. Sobrino University of Valencia
Jose Moreno
Jose Moreno University of Valencia
Fabio Maselli
Fabio Maselli National Research Council (CNR)
John R. Miller
John R. Miller York University
Michel M. Verstraete
Michel M. Verstraete University of the Witwatersrand
Michael E. Schaepman
Michael E. Schaepman University of Zurich

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