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.
Variations in earthquake-size distribution across different stress regimes
2005807 citationsDanijel Schorlemmer, Stefan Wiemer et al.profile →
Towards a Physical Understanding of the Earthquake Frequency Distribution
This map shows the geographic impact of Max Wyss'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 Max Wyss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Wyss more than expected).
This network shows the impact of papers produced by Max Wyss. 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 Max Wyss. The network helps show where Max Wyss may publish in the future.
Co-authorship network of co-authors of Max Wyss
This figure shows the co-authorship network connecting the top 25 collaborators of Max Wyss.
A scholar is included among the top collaborators of Max Wyss 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 Max Wyss. Max Wyss is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schorlemmer, Danijel, et al.. (2017). Global Dynamic Exposure and the OpenBuildingMap - Communicating Risk and Involving Communities. Publication Database GFZ (GFZ German Research Centre for Geosciences). 12871.4 indexed citations
3.
Fishman, Elliot K. & Max Wyss. (2016). Bike share in the Australian city: Assessing the feasibility of a future bike share program for Adelaide. Road and transport research. 26(2). 50.2 indexed citations
4.
Wyss, Max. (2013). Lessons from the conviction of the L'Aquila seven: The standard probabilistic earthquake hazard and risk assessment is ineffective. EGU General Assembly Conference Abstracts.1 indexed citations
Rosset, Philippe, et al.. (2009). Estimation of damage and human losses due to earthquakes worldwide - QLARM strategy and experience. EGU General Assembly Conference Abstracts. 5027.2 indexed citations
7.
Wyss, Max, et al.. (2007). A new Tool for Estimating Losses due to Earthquakes: QUAKELOSS2. AGUFM. 2007.1 indexed citations
8.
Al-Homoud, Azm S. & Max Wyss. (2003). An approximate estimate of the earthquake risk in the United Arab Emirates. EGS - AGU - EUG Joint Assembly. 740.1 indexed citations
9.
Wyss, Max, et al.. (2003). Consequences for communities around the Marmara Sea due to possible future earthquakes near Istanbul. Publication Database GFZ (GFZ German Research Centre for Geosciences). 14171.1 indexed citations
10.
Nye, C. J., et al.. (2002). Magmatism in the Denali Volcanic Gap, Southern Alaska. AGU Fall Meeting Abstracts. 2002.3 indexed citations
11.
Freymueller, Jeffrey T., et al.. (2001). The Great Alaska "Earthquake" of 1998-2001. AGU Fall Meeting Abstracts. 2001.36 indexed citations
Wyss, Max. (1978). Sea-level changes before large earthquakes. 10(5). 165–168.4 indexed citations
19.
Klein, F., Páll Einarsson, & Max Wyss. (1976). Reykjanes Peninsula, Iceland earthquake swarm of September 1972 and its tectonic and geothermal implications (Abstract).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.