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 Variability of Ground-Motion Prediction Models and Its Components
2010506 citationsJulian J. Bommer, Frank Scherbaum et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Frank Scherbaum
Since
Specialization
Citations
This map shows the geographic impact of Frank Scherbaum'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 Frank Scherbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Scherbaum more than expected).
This network shows the impact of papers produced by Frank Scherbaum. 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 Frank Scherbaum. The network helps show where Frank Scherbaum may publish in the future.
Co-authorship network of co-authors of Frank Scherbaum
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Scherbaum.
A scholar is included among the top collaborators of Frank Scherbaum 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 Frank Scherbaum. Frank Scherbaum is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Scherbaum, Frank, et al.. (2011). On the Relationship Between Fourier and Response Spectra: Consequences for the Adjustment of Empirical Ground-Motion Prediction Equations for Regional Differences. AGUFM. 2011.4 indexed citations
Hiemer, Stefan, et al.. (2010). Monitoring the West Bohemian Earthquake Swarm in 2008/2009 by a Small Aperture Seismic Array. AGU Fall Meeting Abstracts. 2010.1 indexed citations
Faenza, Licia, Sebastian Hainzl, Frank Scherbaum, & Céline Beauval. (2006). Statistical Analysis of the Time-dependent Earthquake Occurrence and its Impact on Hazard in Low Seismicity Regions. AGU Fall Meeting Abstracts. 2006.1 indexed citations
Igel, Heiner, et al.. (2003). 3D finite-difference modeling of earthquakes in the Cologne Basin, Germany. EAEJA. 8964.2 indexed citations
17.
Scherbaum, Frank, et al.. (2002). Determination of Shallow Shear Wave Velocity Profiles Using Ambient Vibrations at Selected Sites in Greece. AGU Fall Meeting Abstracts. 2002.2 indexed citations
18.
Bard, Pierre‐Yves, et al.. (2001). Analysis of dense array noise measurements using the modified spatial auto-correlation method (SPAC): Application to the Grenoble area. Publication Database GFZ (GFZ German Research Centre for Geosciences).82 indexed citations
19.
Scherbaum, Frank. (2001). Determination of Local Shear Velocity Profiles From Joint Inversion of Dispersion Curves and H/V Spectral Ratios of Ambient Vibrations. AGUFM. 2001.
20.
Haberland, Christian, N. Maercklin, T. Ryberg, et al.. (2001). Observation of guided waves at the Wadi Arava Fault, Jordan. Publication Database GFZ (GFZ German Research Centre for Geosciences). 2001.3 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.