Mark Müller‐Linow

879 total citations
17 papers, 493 citations indexed

About

Mark Müller‐Linow is a scholar working on Plant Science, Ecology and Global and Planetary Change. According to data from OpenAlex, Mark Müller‐Linow has authored 17 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 5 papers in Ecology and 5 papers in Global and Planetary Change. Recurrent topics in Mark Müller‐Linow's work include Remote Sensing in Agriculture (4 papers), Leaf Properties and Growth Measurement (4 papers) and Neural dynamics and brain function (3 papers). Mark Müller‐Linow is often cited by papers focused on Remote Sensing in Agriculture (4 papers), Leaf Properties and Growth Measurement (4 papers) and Neural dynamics and brain function (3 papers). Mark Müller‐Linow collaborates with scholars based in Germany, Australia and United States. Mark Müller‐Linow's co-authors include Marc‐Thorsten Hütt, Uwe Rascher, Francisco Pinto, Claus C. Hilgetag, Hanno Scharr, Agim Ballvora, Anke Schickling, Cinzia Panigada, Sergio Cogliati and Alexander Damm and has published in prestigious journals such as Journal of Experimental Botany, Plant Cell & Environment and Frontiers in Plant Science.

In The Last Decade

Mark Müller‐Linow

15 papers receiving 477 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mark Müller‐Linow Germany	12	230	190	107	90	88	17	493
Aluísio Pinheiro Brazil	8	67 0.3×	120 0.6×	50 0.5×	45 0.5×	8 0.1×	27	450
Liangliang Zhang China	8	333 1.4×	312 1.6×	114 1.1×	37 0.4×	75 0.9×	24	642
Bruna Alberton Brazil	15	204 0.9×	452 2.4×	190 1.8×	20 0.2×	91 1.0×	29	855
Salva Duran‐Nebreda Spain	14	214 0.9×	27 0.1×	37 0.3×	224 2.5×	9 0.1×	26	481
Alex Thiam Koon Yee Singapore	11	59 0.3×	92 0.5×	138 1.3×	203 2.3×	65 0.7×	23	577
Olga Symonova Austria	6	733 3.2×	91 0.5×	31 0.3×	106 1.2×	56 0.6×	14	866
Michael Rzanny Germany	17	335 1.5×	283 1.5×	93 0.9×	116 1.3×	50 0.6×	32	928
Chenghang Du China	14	98 0.4×	31 0.2×	11 0.1×	80 0.9×	10 0.1×	40	470
Michaël Defoin-Platel United Kingdom	9	201 0.9×	28 0.1×	31 0.3×	118 1.3×	10 0.1×	14	454
Jérôme Chopard France	13	516 2.2×	40 0.2×	53 0.5×	324 3.6×	58 0.7×	28	718

Countries citing papers authored by Mark Müller‐Linow

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark Müller‐Linow

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Müller‐Linow. A scholar is included among the top collaborators of Mark Müller‐Linow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Müller‐Linow. Mark Müller‐Linow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Borges, Roger, Amanda S. Giroto, Mark Müller‐Linow, et al.. (2025). Optimizing Cassava Growth with Localized Struvite Application: Root Proliferation and Fertilization Efficiency. Agronomy. 15(2). 353–353.

Rascher, Uwe, et al.. (2024). Completing the picture of field-grown cereal crops: a new method for detailed leaf surface models in wheat. Plant Methods. 20(1). 21–21. 1 indexed citations

Wojciechowski, Tobias, et al.. (2022). Assessing the Storage Root Development of Cassava with a New Analysis Tool. Plant Phenomics. 2022. 9767820–9767820. 4 indexed citations

Müller‐Linow, Mark, Peter Andeer, Dietrich Kohlheyer, et al.. (2022). N-dependent dynamics of root growth and nitrate and ammonium uptake are altered by the bacterium Herbaspirillum seropedicae in the cereal model Brachypodium distachyon. Journal of Experimental Botany. 73(15). 5306–5321. 14 indexed citations

Arsova, Borjana, Michelle Watt, Kerstin Nagel, et al.. (2022). Plant Growth Promotion and Heat Stress Amelioration in Arabidopsis Inoculated with Paraburkholderia phytofirmans PsJN Rhizobacteria Quantified with the GrowScreen-Agar II Phenotyping Platform. Plants. 11(21). 2927–2927. 11 indexed citations

Fiorani, Fabio, Roland Pieruschka, Mark Müller‐Linow, et al.. (2020). Quantitative Estimation of Leaf Heat Transfer Coefficients by Active Thermography at Varying Boundary Layer Conditions. Frontiers in Plant Science. 10. 1684–1684. 13 indexed citations

Müller‐Linow, Mark, et al.. (2019). Plant Screen Mobile: an open-source mobile device app for plant trait analysis. Plant Methods. 15(1). 2–2. 21 indexed citations

Scharr, Hanno, et al.. (2017). Fast High Resolution Volume Carving for 3D Plant Shoot Reconstruction. Frontiers in Plant Science. 8. 1680–1680. 26 indexed citations

Pinto, Francisco, Mark Müller‐Linow, Anke Schickling, et al.. (2017). Multiangular Observation of Canopy Sun-Induced Chlorophyll Fluorescence by Combining Imaging Spectroscopy and Stereoscopy. Remote Sensing. 9(5). 415–415. 40 indexed citations

10.

Pinto, Francisco, Alexander Damm, Anke Schickling, et al.. (2016). Sun‐induced chlorophyll fluorescence from high‐resolution imaging spectroscopy data to quantify spatio‐temporal patterns of photosynthetic function in crop canopies. Plant Cell & Environment. 39(7). 1500–1512. 95 indexed citations

11.

Müller‐Linow, Mark, Francisco Pinto, Hanno Scharr, & Uwe Rascher. (2015). The leaf angle distribution of natural plant populations: assessing the canopy with a novel software tool. Plant Methods. 11(1). 11–11. 83 indexed citations

12.

Jansen, Marcus, et al.. (2014). Non-Invasive Spectral Phenotyping Methods can Improve and Accelerate Cercospora Disease Scoring in Sugar Beet Breeding. Agriculture. 4(2). 147–158. 17 indexed citations

13.

Hütt, Marc‐Thorsten, Mark Müller‐Linow, & Claus C. Hilgetag. (2009). Dynamics of hierarchical neural networks. BMC Neuroscience. 10(S1).

14.

Müller‐Linow, Mark, Claus C. Hilgetag, & Marc‐Thorsten Hütt. (2008). Organization of Excitable Dynamics in Hierarchical Biological Networks. PLoS Computational Biology. 4(9). e1000190–e1000190. 100 indexed citations

15.

Marr, Carsten, Mark Müller‐Linow, & Marc‐Thorsten Hütt. (2007). Regularizing capacity of metabolic networks. Physical Review E. 75(4). 41917–41917. 10 indexed citations

16.

Müller‐Linow, Mark, Wolfram Weckwerth, & Marc‐Thorsten Hütt. (2007). Consistency analysis of metabolic correlation networks. BMC Systems Biology. 1(1). 44–44. 37 indexed citations

17.

Müller‐Linow, Mark, Carsten Marr, & Marc‐Thorsten Hütt. (2006). Topology regulates the distribution pattern of excitations in excitable dynamics on graphs. Physical Review E. 74(1). 16112–16112. 21 indexed citations

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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