World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
9182
World Ranking
6055
National Ranking
1686

Sergii Skakun publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Sergii Skakun sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 126 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Sergii Skakun D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Sergii Skakun sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Sergii Skakun is affiliated with the University of Maryland, College Park in the United States. Their research primarily focuses on environmental science, with a strong emphasis on remote sensing applications related to agriculture, land use, and ecosystem services.

The main fields of study in which Skakun has contributed include:

  • Environmental Science

Within the broader field, their work spans several subfields:

  • Ecology
  • Global and Planetary Change
  • Atmospheric Science
  • Environmental Engineering
  • Plant Science

Key topics addressed in their research are:

  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Remote Sensing and LiDAR Applications
  • Atmospheric aerosols and clouds
  • Remote Sensing and Land Use
  • Remote-Sensing Image Classification
  • Botany and Plant Ecology Studies

Among Skakun's frequent co-authors are:

  • Inbal Becker-Reshef
  • Leonid Shumilo
  • Jean-Claude Roger
  • Éric Vermote
  • Nataliia Kussul

Publications by Skakun appear regularly in notable scientific journals. The primary venues for their work include:

  • Remote Sensing of Environment
  • Science of Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing
  • SSRN Electronic Journal

Recent papers authored or co-authored by Sergii Skakun include:

  • "Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2" (2022), Remote Sensing of Environment
  • "Assessing within-Field Corn and Soybean Yield Variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 Satellite Imagery" (2021), Remote Sensing

Other notable papers in the broader context of remote sensing and environmental studies, although not exclusively authored by Skakun, include:

  • "The 50-year Landsat collection 2 archive" (2023), Science of Remote Sensing
  • "Environmental and political implications of underestimated cropland burning in Ukraine" (2021), Environmental Research Letters
  • "Evaluating plant photosynthetic traits via absorption coefficient in the photosynthetically active radiation region" (2021), Remote Sensing of Environment

Best Publications

  • Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

    Nataliia Kussul;Mykola Lavreniuk;Sergii Skakun;Andrii Shelestov

  • The Harmonized Landsat and Sentinel-2 surface reflectance data set

    Martin Claverie;Martin Claverie;Junchang Ju;Junchang Ju;Jeffrey G. Masek;Jennifer L. Dungan

  • Exploring Google Earth Engine platform for big data processing: classification of multi-temporal satellite imagery for crop mapping

    Andrii Shelestov;Mykola Lavreniuk;Nataliia Kussul;Alexei Novikov

  • Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences

    Hankui K. Zhang;David P. Roy;Lin Yan;Zhongbin Li

  • Early Season Large-Area Winter Crop Mapping Using MODIS NDVI Data, Growing Degree Days Information and a Gaussian Mixture Model

    Sergii Skakun;Sergii Skakun;Belen Franch;Belen Franch;Eric Vermote;Jean-Claude Roger;Jean-Claude Roger

  • Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models

    Felix N. Kogan;Nataliia Kussul;Tatiana Adamenko;Sergii Skakun

  • Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data

    Nataliia Kussul;Guido Lemoine;Francisco Javier Gallego;Sergii V. Skakun

  • Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine

    Sergii Skakun;Nataliia Kussul;Andrii Yu. Shelestov;Mykola Lavreniuk

  • Flood Hazard and Flood Risk Assessment Using a Time Series of Satellite Images: A Case Study in Namibia

    Sergii Skakun;Nataliia Kussul;Andrii Shelestov;Andrii Shelestov;Olga Kussul

  • Efficiency assessment of using satellite data for crop area estimation in Ukraine

    Francisco Javier Gallego;Nataliia Kussul;Sergii Skakun;Oleksii M. Kravchenko

  • Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity

    François Waldner;Diego De Abelleyra;Santiago R. Verón;Miao Zhang

  • Regional scale crop mapping using multi-temporal satellite imagery

    N. Kussul;S. Skakun;A. Shelestov;M. Lavreniuk

  • The use of satellite data for agriculture drought risk quantification in Ukraine

    Sergii Skakun;Nataliia Kussul;Andrii Shelestov;Olga Kussul

  • Combined Use of Landsat-8 and Sentinel-2A Images for Winter Crop Mapping and Winter Wheat Yield Assessment at Regional Scale

    Sergii Skakun;Eric Vermote;Jean-Claude Roger;Jean-Claude Roger;Belen Franch;Belen Franch

  • Flood Monitoring from SAR Data

    Nataliia Kussul;Andrii Shelestov;Sergii Skakun

  • Comparison of biophysical and satellite predictors for wheat yield forecasting in Ukraine

    A. Kolotii;A. Kolotii;N. Kussul;A. Shelestov;A. Shelestov;S. Skakun

  • The use of satellite SAR imagery to crop classification in Ukraine within JECAM project

    Nataliia Kussul;Sergii Skakun;Andrii Shelestov;Olga Kussul

  • A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data

    Nataliia Kussul;Mykola Lavreniuk;Andrii Kolotii;Sergii Skakun

  • LaSRC (Land Surface Reflectance Code): Overview, application and validation using MODIS, VIIRS, LANDSAT and Sentinel 2 data's

    E. Vermote;J.C. Roger;B. Franch;Sergii Skakun

  • A Neural Network Approach to Flood Mapping Using Satellite Imagery

    Sergii Skakun

  • Geospatial information system for agricultural monitoring

    A. Yu. Shelestov;A. N. Kravchenko;S. V. Skakun;S. V. Voloshin

  • Transitioning from MODIS to VIIRS: an analysis of inter-consistency of NDVI data sets for agricultural monitoring

    Sergii Skakun;Christopher O. Justice;Eric Vermote;Jean-Claude Roger

  • Automatic sub-pixel co-registration of Landsat-8 Operational Land Imager and Sentinel-2A Multi-Spectral Instrument images using phase correlation and machine learning based mapping

    Sergii Skakun;Jean-Claude Roger;Eric F. Vermote;Jeffrey G. Masek

Frequent Co-Authors

Jean-Claude Roger
Jean-Claude Roger University of Maryland, College Park
Eric Vermote
Eric Vermote Goddard Space Flight Center
Nataliia Kussul
Nataliia Kussul National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
Christopher O. Justice
Christopher O. Justice University of Maryland, College Park
Jeffrey G. Masek
Jeffrey G. Masek Goddard Space Flight Center
José A. Sobrino
José A. Sobrino University of Valencia
Anatoly A. Gitelson
Anatoly A. Gitelson University of Nebraska–Lincoln
Brent N. Holben
Brent N. Holben Goddard Space Flight Center
Pierre Defourny
Pierre Defourny Université Catholique de Louvain
Stefan Siebert
Stefan Siebert University of Göttingen

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