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.
Rates and spatial variations of soil erosion in Europe: A study based on erosion plot data
2010553 citationsJohn Quinton, Andreas Klik et al.profile →
Rainfall erosivity in Europe
2015500 citationsKatrin Meusburger, Andreas Klik et al.profile →
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 Andreas Klik'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 Andreas Klik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Klik more than expected).
This network shows the impact of papers produced by Andreas Klik. 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 Andreas Klik. The network helps show where Andreas Klik may publish in the future.
Co-authorship network of co-authors of Andreas Klik
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Klik.
A scholar is included among the top collaborators of Andreas Klik 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 Andreas Klik. Andreas Klik is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zumr, David, et al.. (2018). Comparison of the rainfall kinetic energy measured by different distrometers. EGU General Assembly Conference Abstracts. 13821.1 indexed citations
14.
Klik, Andreas, et al.. (2016). Investigation of the Impact of Stone Bunds on Erosion and Deposition Processes Combining Conventional and Tracer Methodology in the Gumara Maksegnit Watershed, Northern Highlands of Ethiopia. Purdue e-Pubs (Purdue University System).1 indexed citations
15.
Mabit, Lionel, Xu Chen, Katrin Meusburger, et al.. (2015). Preliminary use of compound-specific stable isotope (CSSI) technique to identify and apportion sediment origin in a small Austrian catchment. EGU General Assembly Conference Abstracts. 11021.1 indexed citations
16.
Klik, Andreas, et al.. (2015). Simulation of surface runoff and soil erosion in small watersheds in Northern Ethiopia - application and verification of the SWAT model. EGU General Assembly Conference Abstracts. 3438.1 indexed citations
17.
Strohmeier, Stefan, et al.. (2014). Investigation of the impact of stone bunds on water erosion in northern Ethiopia. EGU General Assembly Conference Abstracts. 3885.3 indexed citations
18.
Brenner, Claire, Stefan Strohmeier, Feras Ziadat, & Andreas Klik. (2013). Soil conservation measures in the Ethiopian Highlands: The effectiveness of stone bunds on soil erosion processes. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).2 indexed citations
19.
Klik, Andreas, et al.. (2010). Influence of soil tillage practices on aggregate stability and distribution of C, N and P in different soil types of Austria. EGUGA. 3296.
20.
Mabit, Lionel, Andreas Klik, Arsenio Toloza, et al.. (2009). Measurements of the effectiveness of conservation agriculture at the field scale using radioisotopic techniques and runoff plots. EGUGA. 4507.1 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.