Miriam Machwitz

1.7k total citations · 1 hit paper
30 papers, 1.1k citations indexed

About

Miriam Machwitz is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Miriam Machwitz has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ecology, 13 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Miriam Machwitz's work include Remote Sensing in Agriculture (19 papers), Plant Water Relations and Carbon Dynamics (7 papers) and Remote Sensing and LiDAR Applications (5 papers). Miriam Machwitz is often cited by papers focused on Remote Sensing in Agriculture (19 papers), Plant Water Relations and Carbon Dynamics (7 papers) and Remote Sensing and LiDAR Applications (5 papers). Miriam Machwitz collaborates with scholars based in Germany, Luxembourg and Netherlands. Miriam Machwitz's co-authors include Christopher Conrad, Martin Schlerf, Stefan Dech, Ursula Geßner, Frank Hagedorn, Martin Herold, Adriaan J. Teuling, Kaniska Mallick, Anne J. Hoek van Dijke and Jolanda Theeuwen and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Miriam Machwitz

28 papers receiving 1.0k citations

Hit Papers

Shifts in regional water availability due to global tree ... 2022 2026 2023 2024 2022 50 100 150 200

Peers

Miriam Machwitz
Rajen Bajgain United States
C. M. Steele United States
Yuhe Ji China
Daniel M. Howard United States
Ján Oťaheľ Slovakia
Cletah Shoko South Africa
Rajen Bajgain United States
Miriam Machwitz
Citations per year, relative to Miriam Machwitz Miriam Machwitz (= 1×) peers Rajen Bajgain

Countries citing papers authored by Miriam Machwitz

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Machwitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Machwitz

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Machwitz. A scholar is included among the top collaborators of Miriam Machwitz 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 Miriam Machwitz. Miriam Machwitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dijke, Anne J. Hoek van, René Orth, Adriaan J. Teuling, et al.. (2023). Comparing forest and grassland drought responses inferred from eddy covariance and Earth observation. Agricultural and Forest Meteorology. 341. 109635–109635. 19 indexed citations
2.
Dijke, Anne J. Hoek van, Imme Benedict, Kaniska Mallick, et al.. (2021). The ‘global tree restoration potential’: a first estimation of the hydrological effects.
3.
Schlerf, Martin, et al.. (2021). Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging. Remote Sensing. 13(9). 1748–1748. 43 indexed citations
4.
Machwitz, Miriam, Roland Pieruschka, Katja Berger, et al.. (2021). Bridging the Gap Between Remote Sensing and Plant Phenotyping—Challenges and Opportunities for the Next Generation of Sustainable Agriculture. Frontiers in Plant Science. 12. 749374–749374. 26 indexed citations
5.
Dijke, Anne J. Hoek van, Kaniska Mallick, Martin Schlerf, et al.. (2020). Examining the link between vegetation leaf area and land–atmosphere exchange of water, energy, and carbon fluxes using FLUXNET data. Biogeosciences. 17(17). 4443–4457. 40 indexed citations
6.
Dijke, Anne J. Hoek van, Kaniska Mallick, Adriaan J. Teuling, et al.. (2019). Does the Normalized Difference Vegetation Index explain spatial and temporal variability in sap velocity in temperate forest ecosystems?. Hydrology and earth system sciences. 23(4). 2077–2091. 18 indexed citations
7.
Othoniel, Benoit, et al.. (2019). An improved life cycle impact assessment principle for assessing the impact of land use on ecosystem services. The Science of The Total Environment. 693. 133374–133374. 48 indexed citations
8.
Dijke, Anne J. Hoek van, Kaniska Mallick, Adriaan J. Teuling, et al.. (2018). Does NDVI explain spatial and temporal variability in sap velocity in temperate forest ecosystems?. 2 indexed citations
9.
Machwitz, Miriam, Erik Haß, Jürgen Junk, Thomas Udelhoven, & Martin Schlerf. (2018). CropGIS – A web application for the spatial and temporal visualization of past, present and future crop biomass development. Computers and Electronics in Agriculture. 161. 185–193. 21 indexed citations
10.
Geßner, Ursula, Kim Knauer, Miriam Machwitz, Stefan Dech, & Claudia Kuenzer. (2016). Impacts of socio-economic development and urbanization on natural resources - case studies from Africa. elib (German Aerospace Center). 7283–7284. 2 indexed citations
11.
Fahr, Jakob, Michael Abedi‐Lartey, Thomas Esch, et al.. (2015). Pronounced Seasonal Changes in the Movement Ecology of a Highly Gregarious Central-Place Forager, the African Straw-Coloured Fruit Bat (Eidolon helvum). PLoS ONE. 10(10). e0138985–e0138985. 57 indexed citations
12.
Conrad, Christopher, et al.. (2013). Satellite based calculation of spatially distributed crop water requirements for cotton and wheat cultivation in Fergana Valley, Uzbekistan. Global and Planetary Change. 110. 88–98. 52 indexed citations
13.
Dubovyk, Olena, et al.. (2012). Spatio-temporal analyses of cropland degradation in the irrigated lowlands of Uzbekistan using remote-sensing and logistic regression modeling. Environmental Monitoring and Assessment. 185(6). 4775–4790. 91 indexed citations
14.
Geßner, Ursula, Miriam Machwitz, Christopher Conrad, & Stefan Dech. (2012). Estimating the fractional cover of growth forms and bare surface in savannas. A multi-resolution approach based on regression tree ensembles. Remote Sensing of Environment. 129. 90–102. 107 indexed citations
15.
Machwitz, Miriam, et al.. (2012). Validation of the collection 5 MODIS FPAR product in a heterogeneous agricultural landscape in arid Uzbekistan using multitemporal RapidEye imagery. International Journal of Remote Sensing. 33(21). 6818–6837. 26 indexed citations
16.
Machwitz, Miriam, Martin Wegmann, Christopher Conrad, & Stefan Dech. (2011). Remote Sensing based estimation of potential terrestrial carbon stocks in West Africa. elib (German Aerospace Center). 1 indexed citations
17.
Sandker, Marieke, Johannes Förster, Neil Collier, et al.. (2010). REDD payments as incentive for reducing forest loss. Conservation Letters. 3(2). 114–121. 26 indexed citations
19.
Landmann, Tobias, Miriam Machwitz, Quang Bao Le, et al.. (2008). A Land Cover Change Synthesis Study for the GLOWA Volta Basin in West Africa using Time Trajectory Satellite Observations and Cellular Automata Models. 90. III – 640. 1 indexed citations
20.
Hagedorn, Frank & Miriam Machwitz. (2007). Controls on dissolved organic matter leaching from forest litter grown under elevated atmospheric CO2. Soil Biology and Biochemistry. 39(7). 1759–1769. 65 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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