Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Transdisciplinary global change research: the co-creation of knowledge for sustainability
Countries citing papers authored by Wolfram Mauser
Since
Specialization
Citations
This map shows the geographic impact of Wolfram Mauser'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 Wolfram Mauser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolfram Mauser more than expected).
This network shows the impact of papers produced by Wolfram Mauser. 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 Wolfram Mauser. The network helps show where Wolfram Mauser may publish in the future.
Co-authorship network of co-authors of Wolfram Mauser
This figure shows the co-authorship network connecting the top 25 collaborators of Wolfram Mauser.
A scholar is included among the top collaborators of Wolfram Mauser 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 Wolfram Mauser. Wolfram Mauser is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bach, Heike, et al.. (2016). Earth Observation for Food Security and Sustainable Agriculture. 740. 96.1 indexed citations
9.
Koch, Franziska, Lino Schmid, Monika Prasch, et al.. (2015). Combining low-cost GPS receivers with upGPR to derive continuously liquid water content, snow height and snow water equivalent in Alpine snow covers. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 6700.
Bach, Heike, et al.. (2013). On-Farm Application Of Operational Integrated Satellite Services. ESASP. 722. 243.1 indexed citations
12.
Bach, Heike, et al.. (2013). Leaf Area Index Retrieval And Yield Modelling For Winter Wheat With TerraSAR-X Data Compared To Using Optical Data. 722. 333.1 indexed citations
Loew, Alexander, J. Dall'Amico, F. Schlenz, & Wolfram Mauser. (2009). The Upper Danube soil moisture validation site: measurements and activities. MPG.PuRe (Max Planck Society). 674. 2924.12 indexed citations
15.
Dall'Amico, J., Alexander Loew, F. Schlenz, & Wolfram Mauser. (2009). SMOS rehearsal campaign 2008, Upper Danube catchment: Radiometer data analysis and soil moisture retrieval using the Land Parameter Retrieval Model (LPRM). MPG.PuRe (Max Planck Society). 3092.1 indexed citations
Loew, Alexander & Wolfram Mauser. (2004). Coupled Modelling of Land Surface Microwave Interactions using Envisat ASAR Data (63). MPG.PuRe (Max Planck Society). 572.10 indexed citations
18.
Menenti, Massimo, M. Rast, Frédéric Baret, et al.. (2003). Understanding Vegetation Response to Climate Variability From Space: Recent Advances Towards the SPECTRA Mission. Socio-Environmental Systems Modeling. 2004. 193–206.1 indexed citations
19.
Mauser, Wolfram, et al.. (1997). The contribution of microwave data to distributed hydrologic modeling. 414. 77–84.2 indexed citations
20.
Mauser, Wolfram, et al.. (1997). Evaluation of ERS data for biomass estimation of meadows. 414. 203–207.7 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.