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.
World Map of the Köppen-Geiger climate classification updated
20068.6k citationsM. Kottek, Jürgen Grieser et al.Meteorologische Zeitschriftprofile →
Classifications of Atmospheric Circulation Patterns
2008511 citationsChristoph Beck, Andreas Philipp et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Christoph Beck
Since
Specialization
Citations
This map shows the geographic impact of Christoph Beck'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 Christoph Beck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Beck more than expected).
This network shows the impact of papers produced by Christoph Beck. 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 Christoph Beck. The network helps show where Christoph Beck may publish in the future.
Co-authorship network of co-authors of Christoph Beck
This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Beck.
A scholar is included among the top collaborators of Christoph Beck 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 Christoph Beck. Christoph Beck is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Beck, Christoph, et al.. (2018). Variability and triggering factors of observed global mean land-surface precipitation since 1951. OPUS (Augsburg University).
Beck, Christoph, et al.. (2015). Statistical modeling of urban air temperature distributions under different synoptic conditions. EGU General Assembly Conference Abstracts. 15292.2 indexed citations
10.
Beck, Christoph, et al.. (2015). Impact of seasonal synoptic weather types on local PM10 concentrations in Bavaria/Germany: recent conditions and future projections. EGU General Assembly Conference Abstracts. 2114.1 indexed citations
Philipp, Andreas, et al.. (2014). Combining artificial neural networks and circulation type classification: does it improve downscaling models?. EGUGA. 16395.1 indexed citations
13.
Beck, Christoph, Andreas Philipp, & Jucundus Jacobeit. (2014). Interannual drought index variations in Central Europe related to large-scale atmospheric circulation. EGUGA. 5933.1 indexed citations
14.
Hofstätter, Michael, et al.. (2013). WETRAX: WEather Patterns, Cyclone TRAcks and related precipitation EXtremes. OPUS (Augsburg University).3 indexed citations
15.
Beck, Christoph, et al.. (2012). Local PM10 concentrations in Augsburg (Germany) and their connection to large scale circulation types. EGUGA. 12971.1 indexed citations
Beck, Christoph, et al.. (2010). Schulbegleitung am Förderzentrum mit dem Förderschwerpunkt Geistige Entwicklung.6 indexed citations
19.
Bartholy, Judit, Rita Pongrácz, Andreas Philipp, Christoph Beck, & Anikó Kern. (2010). Application of different weather pattern classifications to simulated future climate conditions for Central Europe.1 indexed citations
20.
Kottek, M., Jürgen Grieser, Christoph Beck, B. Rudolf, & Franz Rubel. (2006). World Map of the Köppen-Geiger climate classification updated. Meteorologische Zeitschrift. 15(3). 259–263.8649 indexed citations breakdown →
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.