Matthias Dees
Impact in
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
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- Forest ecology and management
Papers in
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- Remote Sensing and LiDAR Applications 13
- Ecology 12
- Remote Sensing in Agriculture 10
- Co-authors
- Barbara Koch (10 shared papers)Pawan Datta (10 shared papers)Sami Ullah (7 shared papers)Holger Weinacker (4 shared papers)Marcus Lindner (4 shared papers)Sergey Zudin (4 shared papers)Pieter Johannes Verkerk (1 shared paper)Geerten Hengeveld (1 shared paper)
In The Last Decade
Matthias Dees
27 papers receiving 465 citations
Peers
Comparison fields: 5 of 65
- Environmental Engineering 266
- Nature and Landscape Conservation 140
- Global and Planetary Change 197
- Ecology 221
- Ecological Modeling 29
Countries citing papers authored by Matthias Dees
This map shows the geographic impact of Matthias Dees'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 Matthias Dees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Dees more than expected).
Fields of papers citing papers by Matthias Dees
This network shows the impact of papers produced by Matthias Dees. 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 Matthias Dees. The network helps show where Matthias Dees may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthias Dees, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 90 | |
| 2 | 2017 | 68 | |
| 3 | 2009 | 53 | |
| 4 | 2018 | 39 | |
| 5 | 2016 | 32 | |
| 6 | 2019 | 26 | |
| 7 | 2017 | 25 | |
| 8 | 2009 | 23 | |
| 9 | 2017 | 19 | |
| 10 | 2020 | 19 | |
| 11 | Atlas with regional cost supply biomass potentials for EU 28, Western Balkan countries, Moldavia, Turkey and Ukraine | 2017 | 15 |
| 12 | 2018 | 12 | |
| 13 | 2017 | 12 | |
| 14 | 2012 | 10 | |
| 15 | 2019 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2019 | 6 | |
| 18 | Status of forest resources of Montenegro. | 2012 | 4 |
| 19 | Pixelbasierte Klassifizierung im Vergleich und zur Ergänzung zum objektbasierten Verfahren | 2003 | 4 |
| 20 | 2017 | 4 |
About Matthias Dees
Matthias Dees is a scholar working on Environmental Engineering, Ecology, Nature and Landscape Conservation, Global and Planetary Change and Mechanics of Materials, having authored 28 papers that have together received 489 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (13 papers), Remote Sensing in Agriculture (10 papers), Forest ecology and management (8 papers), Forest Management and Policy (5 papers), Land Use and Ecosystem Services (3 papers), Forest Ecology and Biodiversity Studies (3 papers), Forest Biomass Utilization and Management (3 papers) and Conservation, Biodiversity, and Resource Management (2 papers). The work is most often cited by research in Environmental Engineering (266 citations), Nature and Landscape Conservation (140 citations), Global and Planetary Change (197 citations), Ecology (221 citations) and Ecological Modeling (29 citations). Matthias Dees has collaborated with scholars based in Germany, Pakistan and Austria. Frequent co-authors include Barbara Koch, Pawan Datta, Sami Ullah, Holger Weinacker, Marcus Lindner, Sergey Zudin, Pieter Johannes Verkerk, Geerten Hengeveld, Joanne Fitzgerald and Yunsheng Wang. Their work appears in journals such as International Journal of Remote Sensing, Forests, Biodiversity and Conservation, Forest Ecosystems and Journal of Sustainable Forestry.
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.