Nataliia Kussul

7.0k citations
166 papers · 4.7k indexed · 3 hit papers · h-index 34

Nataliia Kussul

139 papers receiving 4.4k citations

Hit Papers

Deep Learning Classification of Land Cover and Crop Types...1.3k20132026201720214008001.2k

Peers

Nataliia Kussul
Comparison fields: 5 of 130
  • Media Technology 951
  • Ecology 2.4k
  • Global and Planetary Change 1.8k
  • Environmental Engineering 987
  • Atmospheric Science 821
Replace Андрій Шелестов with:
Андрій Шелестов Ukraine
Sergii Skakun United States
Mykola Lavreniuk Ukraine
Mutlu Özdoğan United States
John Rogan United States
Liping Di United States
Wenbin Wu China
Jean‐François Mas Mexico
Lammert Kooistra Netherlands
Huajun Tang China
Nataliia Kussul relative to Андрій Шелестов Ukraine Андрій Шелестов's profile →
Citations per field
00.5×1.5×
Андрій Шелестов · 1×
Citations per year

Countries citing papers authored by Nataliia Kussul

Since Specialization
Citations

This map shows the geographic impact of Nataliia Kussul's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nataliia Kussul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nataliia Kussul more than expected).

Fields of papers citing papers by Nataliia Kussul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nataliia Kussul. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nataliia Kussul. The network helps show where Nataliia Kussul may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Nataliia Kussul, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nataliia Kussul Line = papers co-authored together Nataliia Kussul links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 202310
4 20231
5 20230
6 20231
7 20223
8 202137
9 201931
10
Public-Private Collaboration on Satellite Crop Monitoring within World Bank Project on Land Management Transparency in Ukraine
20181
11 201890
12
Crop classification and mapping based on Sentinel missions data in cloud environment
20173
13 201748
14 201659
15
Large Scale Crop Mapping in Ukraine Using Google Earth Engine
20162
16 201637
17
Geospatial Intelligence and Data Fusion Techniques for Sustainable Development Problems.
201525
18
A UTILITY-BASED REPUTATION MODEL FOR GRID RESOURCE MANAGEMENT SYSTEM
20151
19
Integrated Use of Multi-temporal SAR and Optical Satellite Imagery for Crop Mapping in Ukraine
20141
20
The Data Fusion Grid Infrastructure: Project Objectives and Achievements
201021

About Nataliia Kussul

Nataliia Kussul is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and General Agricultural and Biological Sciences, having authored 166 papers that have together received 4.7k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (59 papers), Diverse Scientific Research in Ukraine (34 papers), Land Use and Ecosystem Services (31 papers), Environmental Sustainability and Technology (17 papers), Agriculture and Biological Studies (15 papers), Remote-Sensing Image Classification (14 papers), Soil and Environmental Studies (12 papers) and Remote Sensing and LiDAR Applications (12 papers). The work is most often cited by research in Media Technology (951 citations), Ecology (2.4k citations) and Global and Planetary Change (1.8k citations). Nataliia Kussul has collaborated with scholars based in Ukraine, United States and Italy. Frequent co-authors include Sergii Skakun, Андрій Шелестов, Mykola Lavreniuk, Olga Kussul, Alexei Novikov, Andrii Kolotii, Bohdan Yailymov, Oleksii Kravchenko, F. J. Gallego and Guido Lemoine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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