World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
43
Citations
6561
World Ranking
7153
National Ranking
150

Mariano Bresciani 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 Mariano Bresciani 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 180 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Mariano Bresciani 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 Mariano Bresciani 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 43 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Overview

Mariano Bresciani is affiliated with the Istituto per il Rilevamento Elettromagnetico dell'Ambiente in Italy. Their research primarily spans the fields of Environmental Science and Earth and Planetary Sciences, with a strong focus on subfields such as Oceanography, Water Science and Technology, Ecology, Global and Planetary Change, and Environmental Chemistry.

Their work addresses a range of topics including:

  • Marine and coastal ecosystems
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Water Quality Monitoring and Analysis
  • Water Quality Monitoring Technologies
  • Remote-Sensing Image Classification
  • Water Quality and Pollution Assessment
  • Flood Risk Assessment and Management

Bresciani has contributed frequently to a variety of scientific journals and platforms. Notable venues where their research has been published include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing
  • Water
  • Remote Sensing of Environment
  • Sensors

Several of their recent papers demonstrate ongoing research into remote sensing applications for water quality and aquatic ecosystems. Key recent publications include:

  • ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters, 2021, Remote Sensing of Environment
  • Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3, 2022, Remote Sensing of Environment
  • GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality, 2023, Scientific Data
  • A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks, 2021, Frontiers in Remote Sensing
  • Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters, 2020, Remote Sensing of Environment

Bresciani collaborates extensively with other researchers. Frequent co-authors include:

  • Claudia Giardino
  • Monica Pinardi
  • Gary Free
  • Karin Schenk
  • Nicola Ghirardi

Best Publications

  • Assessment of atmospheric correction algorithms for the Sentinel-2A MultiSpectral Imager over coastal and inland waters

    Mark A Warren;Stefan G H Simis;Victor Martinez-Vicente;Kathrin Poser

  • Optical types of inland and coastal waters

    Evangelos Spyrakos;Ruth O'Donnell;Peter D. Hunter;Claire Miller

  • ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters

    Nima Pahlevan;Antoine Mangin;Sundarabalan V. Balasubramanian;Brandon Smith

  • Measuring freshwater aquatic ecosystems: The need for a hyperspectral global mapping satellite mission

    Erin Lee Hestir;Erin Lee Hestir;Vittorio E. Brando;Mariano Bresciani;Claudia Giardino

  • Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3

    Unknown

  • Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters

    L. De Keukelaere;S. Sterckx;S. Adriaensen;E. Knaeps

  • Application of Remote Sensing in Water Resource Management: The Case Study of Lake Trasimeno, Italy

    Claudia Giardino;Mariano Bresciani;Paolo Villa;Angiolo Martinelli

  • BOMBER: A tool for estimating water quality and bottom properties from remote sensing images

    Claudia Giardino;Gabriele Candiani;Mariano Bresciani;Zhongping Lee

  • Imaging Spectrometry of Inland and Coastal Waters: State of the Art, Achievements and Perspectives

    Claudia Giardino;Vittorio Brando;Peter Gege;Nicole Pinnel

  • Assessing remotely sensed chlorophyll-a for the implementation of the Water Framework Directive in European perialpine lakes.

    Mariano Bresciani;Daniela Stroppiana;Daniel Odermatt;Giuseppe Morabito

  • GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality

    Unknown

  • Airborne hyperspectral data to assess suspended particulate matter and aquatic vegetation in a shallow and turbid lake

    Claudia Giardino;Mariano Bresciani;Emiliana Valentini;Luca Gasperini

  • Evaluation of Multi-Resolution Satellite Sensors for Assessing Water Quality and Bottom Depth of Lake Garda

    Claudia Giardino;Mariano Bresciani;Ilaria Cazzaniga;Karin Schenk

  • A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks

    Brandon Smith;Nima Pahlevan;John Schalles;Steve Ruberg

  • Aquatic vegetation indices assessment through radiative transfer modeling and linear mixture simulation

    Paolo Villa;Alijafar Mousivand;Mariano Bresciani

  • Mapping phytoplankton blooms in deep subalpine lakes from Sentinel-2A and Landsat-8

    M. Bresciani;I. Cazzaniga;I. Cazzaniga;M. Austoni;T. Sforzi

  • A rule-based approach for mapping macrophyte communities using multi-temporal aquatic vegetation indices

    Paolo Villa;Mariano Bresciani;Rossano Bolpagni;Monica Pinardi;Monica Pinardi

  • High-resolution satellite turbidity and sea surface temperature observations of river plume interactions during a significant flood event

    V. E. Brando;F. Braga;L. Zaggia;C. Giardino

  • Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters

    Nima Pahlevan;Brandon Smith;Caren Binding;Daniela Gurlin

  • Monitoring blooms and surface accumulation of cyanobacteria in the Curonian Lagoon by combining MERIS and ASAR data

    Mariano Bresciani;Maria Adamo;Giacomo De Carolis;Erica Matta

  • Intercomparison in the field between the new WISP-3 and other radiometers (TriOS Ramses, ASD FieldSpec, and TACCS)

    Annelies Hommersom;Susanne Kratzer;Marnix Laanen;Ilmar Ansko

  • Optical remote sensing of lakes: an overview on Lake Maggiore

    Claudia Giardino;Mariano Bresciani;Daniela Stroppiana;Alessandro Oggioni

  • Feedback Mechanisms Between Cyanobacterial Blooms, Transient Hypoxia, and Benthic Phosphorus Regeneration in Shallow Coastal Environments

    Mindaugas Zilius;Marco Bartoli;Mariano Bresciani;Marija Katarzyte

Frequent Co-Authors

Claudia Giardino
Claudia Giardino National Research Council (CNR)
Marco Bartoli
Marco Bartoli University of Parma
Vittorio E. Brando
Vittorio E. Brando National Research Council (CNR)
Roberto Colombo
Roberto Colombo University of Milano-Bicocca
Daniela Stroppiana
Daniela Stroppiana National Research Council (CNR)
Andrea Lami
Andrea Lami National Research Council (CNR)
Nima Pahlevan
Nima Pahlevan Langley Research Center
Lin Li
Lin Li Indiana University – Purdue University Indianapolis
Giorgio Dall'Olmo
Giorgio Dall'Olmo Plymouth Marine Laboratory
Yunlin Zhang
Yunlin Zhang Chinese Academy of Sciences

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