World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
7517
World Ranking
7246
National Ranking
1

Nataliia Kussul 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 Nataliia Kussul 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: 167 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Nataliia Kussul 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 Nataliia Kussul 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: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Nataliia Kussul is affiliated with the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" in Ukraine. Their research primarily falls within the field of Environmental Science, with a focus on subfields including Global and Planetary Change, Management, Monitoring, Policy and Law, Ecology, Soil Science, and Public Health, Environmental and Occupational Health.

The scientist's work covers various topics such as Environmental and Biological Research in Conflict Zones, Diverse Scientific Research in Ukraine, Remote Sensing in Agriculture, Soil and Environmental Studies, Legal, Health, Environmental and COVID-19 Challenges, Land Use and Ecosystem Services, and Fire Effects on Ecosystems.

Among recent scientific publications are the following papers:

  • Quantifying war-induced crop losses in Ukraine in near real time to strengthen local and global food security, 2023, Food Policy
  • Local-scale agricultural drought monitoring with satellite-based multi-sensor time-series, 2020, GIScience & Remote Sensing
  • Environmental and political implications of underestimated cropland burning in Ukraine, 2021, Environmental Research Letters
  • A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index, 2021, Remote Sensing
  • Essential earth observation variables for high-level multi-scale indicators and policies, 2022, Environmental Science & Policy

Books published by Nataliia Kussul include research titles issued by the World Bank and its eBooks division, such as:

  • Quantifying War-Induced Crop Losses in Ukraine in near Real Time to Strengthen Local and Global Food Security, 2022
  • Using Machine Learning to Assess Yield Impacts of Crop Rotation: Combining Satellite and Statistical Data for Ukraine, 2020
  • Micro-Level Impacts of the War on Ukraine's Agriculture Sector: Distinguishing Local and National Effects over Time, 2024

Their research has been published frequently in venues such as:

  • International Scientific Technical Journal Problems of Control and Informatics
  • Remote Sensing
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
  • Environmental Science & Policy
  • Sustainability

Frequent collaborators in their scientific work include:

  • Андрій Шелестов
  • Leonid Shumilo
  • Bohdan Yailymov
  • Hanna Yailymova
  • Sergii Skakun

Best Publications

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

    Nataliia Kussul;Mykola Lavreniuk;Sergii Skakun;Andrii Shelestov

  • 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

  • Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world

    Pierre Defourny;Sophie Bontemps;Nicolas Bellemans;Cosmin Cara

  • 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

  • Flood Monitoring from SAR Data

    Nataliia Kussul;Andrii Shelestov;Sergii Skakun

  • Grid system for flood extent extraction from satellite images

    Nataliia Kussul;Andrii Shelestov;Serhiy 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

  • Geospatial information system for agricultural monitoring

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

  • Grid and sensor web technologies for environmental monitoring

    Nataliia Kussul;Andrii Shelestov;Serhiy Skakun

  • A rule-based approach for crop identification using multi-temporal and multi-sensor phenological metrics

    Gohar Ghazaryan;Olena Dubovyk;Fabian Löw;Mykola Lavreniuk

  • Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery

    Andrii Shelestov;Mykola Lavreniuk;Vladimir Vasiliev;Leonid Shumilo

  • Grid computing technology for hydrological applications

    G. Lecca;M. Petitdidier;L. Hluchy;M. Ivanovic

  • Winter Wheat Yield Assessment from Landsat 8 and Sentinel-2 Data: Incorporating Surface Reflectance, Through Phenological Fitting, into Regression Yield Models

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

Frequent Co-Authors

Sergii Skakun
Sergii Skakun University of Maryland, College Park
Pierre Defourny
Pierre Defourny Université Catholique de Louvain
Vladimir V. Lukin
Vladimir V. Lukin National Aerospace University – Kharkiv Aviation Institute
Jean-Claude Roger
Jean-Claude Roger University of Maryland, College Park
Bingfang Wu
Bingfang Wu Chinese Academy of Sciences
Steffen Fritz
Steffen Fritz International Institute for Applied Systems Analysis
Eric Vermote
Eric Vermote Goddard Space Flight Center
Jeffrey G. Masek
Jeffrey G. Masek Goddard Space Flight Center
Gérard Dedieu
Gérard Dedieu Federal University of Toulouse Midi-Pyrénées
Olivier Hagolle
Olivier Hagolle Centre National D'Etudes Spatiales

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