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.
Fundamentals of Algebraic Graph Transformation
2006374 citationsHartmut Ehrig, Gabriele Taentzer et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Karsten Ehrig'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 Karsten Ehrig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Ehrig more than expected).
This network shows the impact of papers produced by Karsten Ehrig. 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 Karsten Ehrig. The network helps show where Karsten Ehrig may publish in the future.
Co-authorship network of co-authors of Karsten Ehrig
This figure shows the co-authorship network connecting the top 25 collaborators of Karsten Ehrig.
A scholar is included among the top collaborators of Karsten Ehrig 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 Karsten Ehrig. Karsten Ehrig is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Baum, Daniel, et al.. (2014). Korrosionsverfolgung in 3D- computertomographischen Aufnahmen von Stahlbetonproben.1 indexed citations
5.
Baum, Daniel, et al.. (2013). 3-D-Visualisierung und statistische Analyse von Rissen in mit Computer-Tomographie untersuchten Betonproben.1 indexed citations
6.
Kupsch, Andreas, Axel Lange, Manfred Hentschel, et al.. (2013). Evaluating porosity in cordierite diesel particulate filter materials, part 1 X-ray refraction.8 indexed citations
Ehrig, Karsten, Markus Bartscher, Jürgen Goebbels, Matthias Schulze, & A. Staude. (2010). Dimensionelles Messen unter Phasenkontrast mit Synchrotron Computertomographie.
Ehrig, Hartmut, Karsten Ehrig, Claudia Ermel, & Ulrike Prange. (2007). Model Transformations by Graph Transformation are Functors.. Bulletin of the European Association for Theoretical Computer Science. 93. 134–142.1 indexed citations
Biermann, Enrico, et al.. (2006). Graphical Definition of In-Place Transformations in the Eclipse Modeling Framework. Data Archiving and Networked Services (DANS).1 indexed citations
16.
Ehrig, Hartmut, Karsten Ehrig, Ulrike Prange, & Gabriele Taentzer. (2006). Fundamental Theory for Typed Attributed Graphs and Graph Transformation based on Adhesive HLR Categories. Fundamenta Informaticae. 74(1). 31–61.37 indexed citations
17.
Ehrig, Hartmut, Karsten Ehrig, Annegret Habel, & Karl‐Heinz Pennemann. (2006). Theory of Constraints and Application Conditions: From Graphs to High-Level Structures. Fundamenta Informaticae. 74(1). 135–166.37 indexed citations
18.
Ermel, Claudia, Hartmut Ehrig, & Karsten Ehrig. (2006). Semantical Correctness of Simulation-to-Animation Model and Rule Transformation: Long Version.2 indexed citations
Taentzer, Gabriele, Karsten Ehrig, Esther Guerra, et al.. (2005). Model transformation by graph transformation: A comparative study. Biblos-e Archivo (Universidad Autónoma de Madrid).82 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.