Mark Müller‐Linow
Impact in
- Ecology top 10%
- Remote Sensing in Agriculture
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
Papers in
-
- Plant nutrient uptake and metabolism 2
- Cassava research and cyanide 2
- Leaf Properties and Growth Measurement 2
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- Plant Water Relations and Carbon Dynamics 3
- Ecosystem dynamics and resilience 2
- Co-authors
- Marc‐Thorsten Hütt (5 shared papers)Uwe Rascher (6 shared papers)Francisco Pinto (3 shared papers)Claus C. Hilgetag (2 shared papers)Hanno Scharr (2 shared papers)Anke Schickling (2 shared papers)Agim Ballvora (2 shared papers)Cinzia Panigada (1 shared paper)
- Journals
- Plant Methods (3 papers)Frontiers in Plant Science (2 papers)BMC Systems Biology (1 paper)Remote Sensing (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- GermanyAustraliaSwitzerland
In The Last Decade
Mark Müller‐Linow
16 papers receiving 488 citations
Peers
Comparison fields: 5 of 72
- Ecology 184
- Environmental Engineering 88
- Plant Science 226
- Global and Planetary Change 106
- Cognitive Neuroscience 81
Countries citing papers authored by Mark Müller‐Linow
This map shows the geographic impact of Mark Müller‐Linow'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 Mark Müller‐Linow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Müller‐Linow more than expected).
Fields of papers citing papers by Mark Müller‐Linow
This network shows the impact of papers produced by Mark Müller‐Linow. 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 Mark Müller‐Linow. The network helps show where Mark Müller‐Linow may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Müller‐Linow, 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 | 2008 | 104 | |
| 2 | 2016 | 97 | |
| 3 | 2015 | 84 | |
| 4 | 2017 | 40 | |
| 5 | 2007 | 37 | |
| 6 | 2017 | 26 | |
| 7 | 2019 | 21 | |
| 8 | 2006 | 21 | |
| 9 | 2014 | 18 | |
| 10 | 2022 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2007 | 10 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2009 | 0 |
About Mark Müller‐Linow
Mark Müller‐Linow is a scholar working on Plant Science, Global and Planetary Change, Ecology, Cognitive Neuroscience and Computer Networks and Communications, having authored 17 papers that have together received 504 indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (3 papers), Neural dynamics and brain function (3 papers), Remote Sensing in Agriculture (2 papers), Plant nutrient uptake and metabolism (2 papers), Cassava research and cyanide (2 papers), Leaf Properties and Growth Measurement (2 papers), Ecosystem dynamics and resilience (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Ecology (184 citations), Environmental Engineering (88 citations), Plant Science (226 citations), Global and Planetary Change (106 citations) and Cognitive Neuroscience (81 citations). Mark Müller‐Linow has collaborated with scholars based in Germany, Australia and Switzerland. Frequent co-authors include Marc‐Thorsten Hütt, Uwe Rascher, Francisco Pinto, Claus C. Hilgetag, Hanno Scharr, Anke Schickling, Agim Ballvora, Cinzia Panigada, Alexander Damm and Sergio Cogliati. Their work appears in journals such as Plant Methods, Frontiers in Plant Science, BMC Systems Biology, Remote Sensing and PLoS Computational Biology.
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.