Dmitry Schepaschenko
- Global and Planetary Change top 0.5%
- Fire effects on ecosystems 19
- Forest Management and Policy 16
- Land Use and Ecosystem Services 16
- Atmospheric and Environmental Gas Dynamics 12
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- Forest ecology and management 14
- Environmental Engineering top 1%
- Remote Sensing and LiDAR Applications 17
- Ecological Modeling top 2%
- Atmospheric Science top 2%
- Climate change and permafrost 12
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- Remote Sensing in Agriculture 22
In The Last Decade
Dmitry Schepaschenko
88 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Global and Planetary Change 2.4k
- Nature and Landscape Conservation 899
- Environmental Engineering 816
- Ecological Modeling 234
- Atmospheric Science 926
Countries citing papers authored by Dmitry Schepaschenko
This map shows the geographic impact of Dmitry Schepaschenko'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 Dmitry Schepaschenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Schepaschenko more than expected).
Fields of papers citing papers by Dmitry Schepaschenko
This network shows the impact of papers produced by Dmitry Schepaschenko. 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 Dmitry Schepaschenko. The network helps show where Dmitry Schepaschenko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dmitry Schepaschenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | The enduring world forest carbon sinkbreakdown → | 2024 | 202 |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 20 | |
| 8 | 2020 | 5 | |
| 9 | 2019 | 21 | |
| 10 | 2018 | 2 | |
| 11 | Global Field Sizes Dataset for Ecosystems Modeling | 2018 | 1 |
| 12 | 2017 | 130 | |
| 13 | 2017 | 30 | |
| 14 | 2015 | 37 | |
| 15 | Carbon, Climate, and Land-use in Ukraine: Forest Sector | 2014 | 13 |
| 16 | Global hybrid forest mask: Synergy of remote sensing, crowd sourcing and statistics | 2013 | 3 |
| 17 | Global change and landscape structure in Ukraine: Ecological and socio-economic implications | 2013 | 1 |
| 18 | Carbon balance of Russian agricultural land | 2012 | 2 |
| 19 | USE OF REMOTE SENSING PRODUCTS IN A TERRESTRIAL ECOSYSTEMS VERIFIED FULL CARBON ACCOUNT: EXPERIENCES FROM RUSSIA | 2011 | 3 |
| 20 | Impact of terrestrial ecosystems of Russia on the global carbon cycle from 2003-2008: An attempt of synthesis | 2010 | 6 |
About Dmitry Schepaschenko
Dmitry Schepaschenko is a scholar working on Global and Planetary Change, Ecological Modeling and Nature and Landscape Conservation, having authored 96 papers that have together received 3.8k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (22 papers), Fire effects on ecosystems (19 papers), Remote Sensing and LiDAR Applications (17 papers), Forest Management and Policy (16 papers), Land Use and Ecosystem Services (16 papers), Forest ecology and management (14 papers), Atmospheric and Environmental Gas Dynamics (12 papers) and Climate change and permafrost (12 papers). The work is most often cited by research in Global and Planetary Change (2.4k citations), Nature and Landscape Conservation (899 citations) and Environmental Engineering (816 citations). Dmitry Schepaschenko has collaborated with scholars based in Austria, Russia and Germany. Frequent co-authors include А. Shvidenko, Timo Kuuluvainen, Pierre Y. Bernier, Sylvie Gauthier, Linda See, Steffen Fritz, Florian Kraxner, Ian McCallum, Michael Obersteiner and Myroslava Lesiv. Their work appears in journals such as Forests, Environmental Research Letters, Remote Sensing, Scientific Data and Scientific Reports.
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.