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.
Climate Changes and Their Elevational Patterns in the Mountains of the World
2022337 citationsKlaus Haslinger, Sven Kotlarski 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 Wolfgang Schöner
Since
Specialization
Citations
This map shows the geographic impact of Wolfgang Schöner'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 Wolfgang Schöner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolfgang Schöner more than expected).
Fields of papers citing papers by Wolfgang Schöner
This network shows the impact of papers produced by Wolfgang Schöner. 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 Wolfgang Schöner. The network helps show where Wolfgang Schöner may publish in the future.
Co-authorship network of co-authors of Wolfgang Schöner
This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Schöner.
A scholar is included among the top collaborators of Wolfgang Schöner 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 Wolfgang Schöner. Wolfgang Schöner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Peßenteiner, Stefanie, et al.. (2018). Modelling future runoff and sediment transport in alpine torrents. EGUGA. 12788.
10.
Haslinger, Klaus, Michael Hofstätter, Christine Kroisleitner, et al.. (2018). Drivers of meteorological drought severity in the European Greater Alpine Region during the last two centuries. EGU General Assembly Conference Abstracts. 12075.2 indexed citations
11.
Schöner, Wolfgang, et al.. (2017). Development of Adygine glacier complex (glacier and proglacial lakes) and its link to outburst hazard. EGUGA. 13170.1 indexed citations
12.
Koch, Roland, Barbara Chimani, & Wolfgang Schöner. (2014). Experiences in homogenization of Austrian snow depth observations. EGU General Assembly Conference Abstracts. 11665.1 indexed citations
13.
Hynek, Bernhard, et al.. (2012). Comparison of direct and geodetic mass balances of three small glaciers in the Eastern Alps. EGU General Assembly Conference Abstracts. 9025.1 indexed citations
14.
Hiebl, Johann, Ingeborg Auer, Reinhard Böhm, et al.. (2009). A high-resolution 1961-1990 monthly temperature climatology for the greater Alpine region.5 indexed citations
15.
Schöner, Wolfgang, et al.. (2009). Spatial features of glacier changes in the Barents-Kara Sector. European geosciences union general assembly. 3046.4 indexed citations
16.
Koboltschnig, Gernot, Wolfgang Schöner, & H. Holzmann. (2007). Extensive hydrological monitoring of a small, highly glacierized watershed in the Hohe Tauern region, Austrian Alps.. IAHS-AISH publication. 95–104.2 indexed citations
Jurković, Anita, et al.. (2005). THE NEW CENTENNIAL SNOW INITIATIVE FOR THE GREATER ALPINE REGION (GAR). STATUS REPORT AND FIRST RESULTS. University of Zagreb University Computing Centre (SRCE). 40(40). 601–603.1 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.