Mark Müller‐Linow
Impact in
- Ecology top 10%
- Remote Sensing in Agriculture
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
Papers in
-
- Leaf Properties and Growth Measurement 4
- Greenhouse Technology and Climate Control 3
- Plant-Microbe Interactions and Immunity 2
- Plant nutrient uptake and metabolism 2
- Cassava research and cyanide 2
- Ecology 5
- Remote Sensing in Agriculture 4
- 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)Agim Ballvora (2 shared papers)Anke Schickling (2 shared papers)Alexander Damm (1 shared paper)
- Journals
- Plant Methods (3 papers)Frontiers in Plant Science (2 papers)Plant Phenomics (1 paper)Remote Sensing (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Mark Müller‐Linow
15 papers receiving 477 citations
Peers
Comparison fields: 5 of 73
- Ecology 190
- Environmental Engineering 88
- Plant Science 230
- Global and Planetary Change 107
- Cognitive Neuroscience 80
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 | 100 | |
| 2 | 2016 | 95 | |
| 3 | 2015 | 83 | |
| 4 | 2017 | 40 | |
| 5 | 2007 | 37 | |
| 6 | 2017 | 26 | |
| 7 | 2019 | 21 | |
| 8 | 2006 | 21 | |
| 9 | 2014 | 17 | |
| 10 | 2022 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2022 | 11 | |
| 13 | 2007 | 10 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2009 | 0 |
About Mark Müller‐Linow
Mark Müller‐Linow is a scholar working on Plant Science, Ecology, Global and Planetary Change, Cognitive Neuroscience and Molecular Biology, having authored 17 papers that have together received 493 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (4 papers), Leaf Properties and Growth Measurement (4 papers), Greenhouse Technology and Climate Control (3 papers), Plant Water Relations and Carbon Dynamics (3 papers), Neural dynamics and brain function (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Plant nutrient uptake and metabolism (2 papers) and Cassava research and cyanide (2 papers). The work is most often cited by research in Ecology (190 citations), Environmental Engineering (88 citations), Plant Science (230 citations), Global and Planetary Change (107 citations) and Cognitive Neuroscience (80 citations). Mark Müller‐Linow has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Marc‐Thorsten Hütt, Uwe Rascher, Francisco Pinto, Claus C. Hilgetag, Hanno Scharr, Agim Ballvora, Anke Schickling, Alexander Damm, Cinzia Panigada and Sergio Cogliati. Their work appears in journals such as Plant Methods, Frontiers in Plant Science, Plant Phenomics, 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.