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.
Visualization of Time-Oriented Data
2011471 citationsHeidrun Schumann, Christian Tominski 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 Heidrun Schumann
Since
Specialization
Citations
This map shows the geographic impact of Heidrun Schumann'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 Heidrun Schumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidrun Schumann more than expected).
Fields of papers citing papers by Heidrun Schumann
This network shows the impact of papers produced by Heidrun Schumann. 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 Heidrun Schumann. The network helps show where Heidrun Schumann may publish in the future.
Co-authorship network of co-authors of Heidrun Schumann
This figure shows the co-authorship network connecting the top 25 collaborators of Heidrun Schumann.
A scholar is included among the top collaborators of Heidrun Schumann 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 Heidrun Schumann. Heidrun Schumann is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Andrienko, Gennady, Natalia Andrienko, Urška Demšar, et al.. (2010). Space, time and visual analytics. International Journal of Geographical Information Systems. 24(10). 1577–1600.294 indexed citations
7.
Schumann, Heidrun, et al.. (2007). Chances and Limits of Progression in Visualization.. 183–196.3 indexed citations
8.
Schumann, Heidrun, et al.. (2007). Normal mapping for surfel-based rendering. Digital Library (University of West Bohemia). 15. 9–16.1 indexed citations
9.
Schumann, Heidrun, et al.. (2006). The Visualization of Uncertain Data: Methods and Problems.. 143–156.93 indexed citations
10.
Schumann, Heidrun, et al.. (2006). SELF ANNOTATED RASTER IMAGE. Information Technology And Control. 35(2).1 indexed citations
11.
Nocke, Thomas, et al.. (2006). Visualisierungsdesign - ein systematischer Überblick.. 48(4). 113–128.2 indexed citations
12.
Fuchs, Georg, et al.. (2005). A Classification Scheme for Lens Techniques.. Digital Library (University of West Bohemia). 89–92.3 indexed citations
Schumann, Heidrun, et al.. (2000). Efficient Scene Descriptions Using Advanced Modelling Techniques in the RenderMan Context. 99(24). 1337–1337.3 indexed citations
18.
Rauschenbach, Uwe, Tino Weinkauf, & Heidrun Schumann. (2000). Interactive Focus and Context Display of Large Raster Images. Digital Library (University of West Bohemia). 274–281.3 indexed citations
19.
Schumann, Heidrun. (1999). Visualisierung von Multiparameterdaten in Raum und Zeit -- eine Systematisierung.. 377–396.1 indexed citations
20.
Rauschenbach, Uwe, et al.. (1996). Alternatives for the Presentation of Information in a Mobile Environment.
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.