This map shows the geographic impact of Peter Gauer'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 Peter Gauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Gauer more than expected).
This network shows the impact of papers produced by Peter Gauer. 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 Peter Gauer. The network helps show where Peter Gauer may publish in the future.
Co-authorship network of co-authors of Peter Gauer
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Gauer.
A scholar is included among the top collaborators of Peter Gauer 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 Peter Gauer. Peter Gauer 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.
Gauer, Peter. (2018). Avalanche probability: Slab release and the effect of forest cover. Duo Research Archive (University of Oslo). 76–83.2 indexed citations
2.
Issler, Dieter, et al.. (2016). Vulnerability of Houses and Persons Under Avalanche Impact – The Avalanche at Longyearbyen on 2015-12-19. Duo Research Archive (University of Oslo). 371–378.1 indexed citations
3.
Gauer, Peter. (2016). Selected Observations From Avalanche Measurements at the Ryggfonn Test Site and Comparisons with Observations From Other Locations. Duo Research Archive (University of Oslo). 1340–1347.2 indexed citations
Gauer, Peter. (2012). On Avalanche (Front) Velocity Measurements at the Ryggfonn Avalanche Test Site and Comparison With Observations From Other Locations. Duo Research Archive (University of Oslo). 427–432.5 indexed citations
7.
Gauer, Peter, Hedda Breien, Dieter Issler, et al.. (2010). The upgraded full-scale avalanche test-site Ryggfonn, Norway. Duo Research Archive (University of Oslo). 747–752.2 indexed citations
8.
Kern, M., et al.. (2009). Scaled laboratory experiments on the evolution of fluidised avalanches.. 477–481.1 indexed citations
9.
Gauer, Peter, et al.. (2008). On Snow Avalanche Flow Regimes: Inferences from Observations and Measurements. Duo Research Archive (University of Oslo). 717.29 indexed citations
10.
Issler, Dieter, Tómas Jøhannesson, & Peter Gauer. (2008). General Considerations and Constraints on Entrainment Mechanisms in Rapid Gravity Mass Flows. AGUFM. 2008.1 indexed citations
11.
Gauer, Peter, K. Lied, & Kristian Søby Kristensen. (2006). On Avalanche Measurements at the Norwegian Full-Scale Test-Site Ryggfonn. Duo Research Archive (University of Oslo). 86–91.
12.
Jaedicke, Christian, et al.. (2006). Chute Experiments on Slushflow Dynamics. 139–147.1 indexed citations
13.
Gauer, Peter. (2004). Numerical Modeling of a Slushflow Event. Duo Research Archive (University of Oslo). 39–43.1 indexed citations
14.
Adams, Edward, et al.. (2004). FORECASTING TERRAIN-DEPENDENT WEATHER CONDITIONS: DETAILS OF A MODEL CHAIN SEQUENCE. Transportation research circular. 95–108.
15.
Adams, Edward, et al.. (2004). A FIRST PRINCIPLES PAVEMENT THERMAL MODEL FOR TOPOGRAPHICALLY COMPLEX TERRAIN.4 indexed citations
Gauer, Peter. (2002). The Use of a Numerical Snow-Drift Model as a Decision Making Tool in the Planning of Avalanche Protection Measures. Duo Research Archive (University of Oslo). 604–608.1 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.