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.
The ECMWF operational ensemble reanalysis–analysis system for ocean and sea ice: a description of the system and assessment
2019543 citationsHao Zuo, Magdalena Balmaseda et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Michael Mayer'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 Michael Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Mayer more than expected).
This network shows the impact of papers produced by Michael Mayer. 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 Michael Mayer. The network helps show where Michael Mayer may publish in the future.
Co-authorship network of co-authors of Michael Mayer
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Mayer.
A scholar is included among the top collaborators of Michael Mayer 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 Michael Mayer. Michael Mayer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fuhrmann, Thomas, et al.. (2013). Towards A Fusion Of SAR-Interferometry, GNSS And Precise Levelling In The Upper Rhine Graben Area, Southwest Germany. ESASP. 722. 57.4 indexed citations
15.
Fuhrmann, Thomas, Frédéric Masson, Michael Mayer, et al.. (2012). Horizontal and Vertical Surface Displacements in the Upper Rhine Graben Derived from GNSS and Precise Levelling Data. EGU General Assembly Conference Abstracts. 10455.
16.
Alshawaf, Fadwa, Thomas Fuhrmann, Bernhard Heck, et al.. (2012). Analysis of atmospheric effects in spaceborne InSAR - towards water vapour mapping based on multiple sensors. 219–222.2 indexed citations
17.
Masson, Frédéric, et al.. (2010). Upper bounds of deformation in the Upper Rhine Graben from GPS data - First results from GURN (GNSS Upper Rhine Graben Network). EGU General Assembly Conference Abstracts. 12. 4516.2 indexed citations
18.
Luo, Xiaoguang, et al.. (2008). EXTENDED NEUTROSPHERIC MODELLING FOR THE GNSS-BASED DETERMINATION OF HIGH-RESOLUTION ATMOSPHERIC WATER VAPOUR FIELDS. Boletim de Ciências Geodésicas. 14(2). 149–170.2 indexed citations
19.
Luo, Xiaoguang, Michael Mayer, & Bernhard Heck. (2007). Quantifizierung verschiedener Einflussfaktoren in GNSS-Residuen. ZfV - Zeitschrift für Geodäsie, Geoinformation und Landmanagement.3 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.