Markus Tum

416 citations
18 papers · 267 · h-index 10

Impact in

Papers in

    • Plant Water Relations and Carbon Dynamics 8
    • Atmospheric and Environmental Gas Dynamics 3
    • Forest Management and Policy 3
    • Land Use and Ecosystem Services 2
    • Science and Climate Studies 2
    • Remote Sensing in Agriculture 3

Markus Tum

17 papers receiving 262 citations

Peers

Markus Tum
Comparison fields: 5 of 53
  • Global and Planetary Change 171
  • Environmental Engineering 64
  • Nature and Landscape Conservation 49
  • Atmospheric Science 64
  • Ecology 82
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Citations per field
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Citations per year

Countries citing papers authored by Markus Tum

Since Specialization
Citations

This map shows the geographic impact of Markus Tum'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 Markus Tum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Tum more than expected).

Fields of papers citing papers by Markus Tum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Tum. 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 Markus Tum. The network helps show where Markus Tum may publish in the future.

Co-authors

The 25 scholars most cited alongside Markus Tum, 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 Markus Tum Line = papers co-authored together Markus Tum links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201747
2 201635
3 201333
4 201832
5 201631
6 201322
7 201622
8 201115
9 201410
10 20119
11
A remote sensing model based land degradation index for the arid and semi-arid regions of southern Africa
20123
12
Modeling Carbon Sinks and Sources in semi-arid Environments for a Land Degradation Assessment Approach
20102
13 20122
14
Estimating the Carbon Cycle of South Africa with BETHY/DLR
20101
15
Exploiting Big Data from Earth Observation - The TimeScan Framework
20171
16 20121
17
NPP modelling for biomass energy estimations of South Africa
20101
18
Modelling and Validating Biomass Potentials over Agricultural and Forest Areas
20100

About Markus Tum

Markus Tum is a scholar working on Global and Planetary Change, Ecology, Agronomy and Crop Science, Nature and Landscape Conservation and Water Science and Technology, having authored 18 papers that have together received 267 indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (8 papers), Bioenergy crop production and management (4 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Remote Sensing in Agriculture (3 papers), Forest Management and Policy (3 papers), Land Use and Ecosystem Services (2 papers), Hydrology and Watershed Management Studies (2 papers) and Science and Climate Studies (2 papers). The work is most often cited by research in Global and Planetary Change (171 citations), Environmental Engineering (64 citations), Nature and Landscape Conservation (49 citations), Atmospheric Science (64 citations) and Ecology (82 citations). Markus Tum has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include K. P. Günther, Christian Beer, Nuno Carvalhais, Martin Thurner, C. Hendriks, Martijn Schaap, Julian Zeidler, Martin Böttcher, T. Esch and Matthias Forkel. Their work appears in journals such as Geoscientific model development, Biomass and Bioenergy, Remote Sensing, Atmospheric Environment and Carbon Balance and Management.

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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