Matthias Dees

25 papers receiving 451 citations

Peers

Matthias Dees
Comparison fields: 5 of 63
  • Environmental Engineering 261
  • Nature and Landscape Conservation 141
  • Global and Planetary Change 193
  • Ecology 216
  • Insect Science 78
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Cristina Pascual Spain
Masato Katoh Japan
Tomáš Bucha Slovakia
Petra Adler Germany
Diego Giuliarelli Italy
Pawan Datta Germany
Zuyuan Wang Switzerland
E. O. Figueiredo Brazil
Alfonso Fernández-Sarría Spain
Zhenbang Hao China
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Citations per year

Countries citing papers authored by Matthias Dees

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201988
2 201766
3 200952
4 201839
5 201631
6 201925
7 201725
8 200923
9 201718
10 202018
11
Atlas with regional cost supply biomass potentials for EU 28, Western Balkan countries, Moldavia, Turkey and Ukraine
201715
12 201812
13 201712
14 201210
15 20198
16 20218
17 20196
18
Status of forest resources of Montenegro.
20124
19
Pixelbasierte Klassifizierung im Vergleich und zur Ergänzung zum objektbasierten Verfahren
20034
20
COMBINING REMOTE SENSING DATA SOURCES AND TERRESTRIAL SAMPLE-BASED INVENTORY DATA FOR THE USE IN FOREST MANAGEMENT INVENTORIES
20004

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 26 papers that have together received 475 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), Forest Biomass Utilization and Management (3 papers), Forest Ecology and Biodiversity Studies (3 papers), Land Use and Ecosystem Services (3 papers) and Conservation, Biodiversity, and Resource Management (2 papers). The work is most often cited by research in Environmental Engineering (261 citations), Nature and Landscape Conservation (141 citations), Global and Planetary Change (193 citations), Ecology (216 citations) and Insect Science (78 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, Geerten Hengeveld, Pieter Johannes Verkerk, Joanne Fitzgerald and Mathias Schardt. Their work appears in journals such as International Journal of Remote Sensing, Forests, Current Forestry Reports, Biodiversity and Conservation and Photogrammetrie - Fernerkundung - Geoinformation.

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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