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.
Assessing the Quality of Earthquake Catalogues: Estimating the Magnitude of Completeness and Its Uncertainty
2005862 citationsJ. WoessnerBulletin of the Seismological Society of Americaprofile →
The 2013 European Seismic Hazard Model: key components and results
2015441 citationsJ. Woessner, Domenico Giardini et al.Bulletin of Earthquake Engineeringprofile →
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 J. Woessner'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 J. Woessner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Woessner more than expected).
This network shows the impact of papers produced by J. Woessner. 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 J. Woessner. The network helps show where J. Woessner may publish in the future.
Co-authorship network of co-authors of J. Woessner
This figure shows the co-authorship network connecting the top 25 collaborators of J. Woessner.
A scholar is included among the top collaborators of J. Woessner 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 J. Woessner. J. Woessner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Woessner, J., Domenico Giardini, Helen Crowley, et al.. (2015). The 2013 European Seismic Hazard Model: key components and results. Bulletin of Earthquake Engineering. 13(12). 3553–3596.441 indexed citations breakdown →
5.
Kraft, Toni, Stefan Wiemer, N. Deichmann, et al.. (2013). The ML 3.5 earthquake sequence induced by the hydrothermal energy project in St. Gallen, Switzerland. AGU Fall Meeting Abstracts. 2013.1 indexed citations
Jónsson, Sigurjón, et al.. (2009). Propagating Uncertainties from Source Model Estimations to Coulomb Stress Changes. AGUFM. 2009.
12.
Woessner, J., Anna Maria Lombardi, Maximilian J. Werner, & Warner Marzocchi. (2009). Testing the Predictive Power of Coulomb Stress on Aftershock Sequences. AGU Fall Meeting Abstracts. 2009.1 indexed citations
13.
Woessner, J.. (2008). . Bulletin de la Société de pathologie exotique. 101(4). 316–316.3 indexed citations
14.
Hauksson, Egill, et al.. (2006). Associating Seismicity to Late Quaternary Faults in Southern California. AGUFM. 2006.2 indexed citations
Bachmann, Charles M., Danijel Schorlemmer, J. Woessner, & Stefan Wiemer. (2005). Probabilistic Estimates of Monitoring Completeness of Seismic Networks. AGU Fall Meeting Abstracts. 2005.5 indexed citations
17.
Woessner, J.. (2005). Assessing the Quality of Earthquake Catalogues: Estimating the Magnitude of Completeness and Its Uncertainty. Bulletin of the Seismological Society of America. 95(2). 684–698.862 indexed citations breakdown →
18.
Wiemer, Stefan, Shinji Toda, & J. Woessner. (2004). The Role of Stress in Causing High b-Value Regions in Aftershock Zones. AGU Fall Meeting Abstracts. 2004.2 indexed citations
Wiemer, Stefan, et al.. (2003). Correlating Seismicity and Subsidence in the Tokai Region, Central Japan. AGUFM. 2003.1 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.