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 World Stress Map database release 2016: Crustal stress pattern across scales
2018513 citationsFriedemann Wenzel et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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Countries citing papers authored by Friedemann Wenzel
Since
Specialization
Citations
This map shows the geographic impact of Friedemann Wenzel'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 Friedemann Wenzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Friedemann Wenzel more than expected).
Fields of papers citing papers by Friedemann Wenzel
This network shows the impact of papers produced by Friedemann Wenzel. 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 Friedemann Wenzel. The network helps show where Friedemann Wenzel may publish in the future.
Co-authorship network of co-authors of Friedemann Wenzel
This figure shows the co-authorship network connecting the top 25 collaborators of Friedemann Wenzel.
A scholar is included among the top collaborators of Friedemann Wenzel 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 Friedemann Wenzel. Friedemann Wenzel 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.
Daniell, James, Friedemann Wenzel, Katherine A. Daniell, et al.. (2016). The global role of natural disaster fatalities in decision-making: statistics, trends and analysis from 116 years of disaster data compared to fatality rates from other causes. ANU Open Research (Australian National University).4 indexed citations
2.
Daniell, James, et al.. (2016). The economic costs of natural disasters globally from 1900-2015: historical and normalised floods, storms, earthquakes, volcanoes, bushfires, drought and other disasters. EGUGA.11 indexed citations
3.
Westerhaus, Malte, et al.. (2016). Lava emplacements at Shiveluch volcano (Kamchatka) from June 2011 to September 2014 observed by TanDEM-X SAR-Interferometry. EGU General Assembly Conference Abstracts.1 indexed citations
4.
Schaefer, Andreas, James Daniell, & Friedemann Wenzel. (2015). State-of-the-Art in Tsunami Risk Modelling for a global perspective. EGU General Assembly Conference Abstracts. 5239.1 indexed citations
5.
Daniell, James, et al.. (2015). Global Earthquake and Volcanic Eruption Economic losses and costs from 1900-2014: 115 years of the CATDAT database - Trends, Normalisation and Visualisation. EGU General Assembly Conference Abstracts. 8119.1 indexed citations
6.
Schaefer, Andreas, James Daniell, & Friedemann Wenzel. (2015). Earthquake Cluster Analysis for Turkey and its Application for Seismic Hazard Assessment. EGUGA. 5301.
7.
Wenzel, Friedemann, et al.. (2013). Near Real-Time Forensic Disaster Analysis. International Conference on Information Systems for Crisis Response and Management. 581.3 indexed citations
Müller, Tobias M., et al.. (2008). Simulating 3D seismograms in 2.5D structures by combining 2D finite-difference modeling and ray tracing. Geophysical Journal International. 174(1).2 indexed citations
Ismail‐Zadeh, Alik, et al.. (2005). Modelling of Descending Slab Evolution Beneath the SE-Carpathians: Implications for Seismicity. 105. 203.8 indexed citations
14.
Erdik, Mustafa, et al.. (2004). Real-Time Prediction of Ground Motion from P-Wave Records. AGU Fall Meeting Abstracts. 2004.2 indexed citations
15.
Widiyantoro, Sri, R. D. van der Hilst, & Friedemann Wenzel. (2003). Deformation of the Aegean Slab in the Mantle Transition Zone. AGUFM. 2003.9 indexed citations
16.
Erdik, Mustafa, et al.. (2003). Artificial Neural Networks for Earthquake Early-Warning. AGU Fall Meeting Abstracts. 2003.1 indexed citations
17.
Wüestefeld, Andreas, et al.. (2003). Coulomb failure stress in the subduction zone of Vrancea, Romania. EGS - AGU - EUG Joint Assembly. 7132.
18.
Knapp, J. H., G. R. Keller, Randell Stephenson, et al.. (2001). Intermediate Depth Seismicity in the Vrancea Zone of Romania: A Geodynamic Paradox. AGU Fall Meeting Abstracts. 2001.2 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.