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.
An unbiased detector of curvilinear structures
19981.0k citationsCarsten StegerIEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection
2019938 citationsPaul Bergmann, Michael Fauser et al.profile →
Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings
2020489 citationsPaul Bergmann, Michael Fauser et al.arXiv (Cornell University)profile →
The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection
2021251 citationsPaul Bergmann, Michael Fauser et al.International Journal of Computer Visionprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Carsten Steger
Since
Specialization
Citations
This map shows the geographic impact of Carsten Steger'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 Carsten Steger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carsten Steger more than expected).
This network shows the impact of papers produced by Carsten Steger. 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 Carsten Steger. The network helps show where Carsten Steger may publish in the future.
Co-authorship network of co-authors of Carsten Steger
This figure shows the co-authorship network connecting the top 25 collaborators of Carsten Steger.
A scholar is included among the top collaborators of Carsten Steger 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 Carsten Steger. Carsten Steger is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Steger, Carsten, et al.. (2009). Perspective planar shape matching. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7251. 72510G–72510G.5 indexed citations
Ulrich, Markus, Albert Baumgartner, & Carsten Steger. (2002). Automatic Hierarchical Object Decomposition for Object Recognition. The international archives of the photogrammetry, remote sensing and spatial information sciences. 99.3 indexed citations
10.
Mayer, Helmut, Ivan Laptev, Albert Baumgartner, & Carsten Steger. (2002). AUTOMATIC ROAD EXTRACTION BASED ON MULTI-SCALE MODELING, CONTEXT, AND SNAKES.35 indexed citations
11.
Ulrich, Markus & Carsten Steger. (2002). Performance Evaluation of 2D Object Recognition Techniques.6 indexed citations
12.
Steger, Carsten. (2000). SUBPIXEL-PRECISE EXTRACTION OF LINES AND EDGES.36 indexed citations
13.
Baumgärtner, Alexander, et al.. (1999). AUTOMATIC ROAD EXTRACTION BASED ON MULTI-SCALE, GROUPING, AND CONTEXT. Photogrammetric Engineering & Remote Sensing. 65(7). 777–785.146 indexed citations
Baumgärtner, Alexander, et al.. (1996). Update Of Roads In GIS From Aerial Imagery: Verification And Multi-Resolution Extraction.15 indexed citations
18.
Eckstein, W. & Carsten Steger. (1996). Fusion of digital terrain models and texture for object extraction. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).8 indexed citations
19.
Steger, Carsten, et al.. (1995). Improvements for Color Dithering. Color and Imaging Conference. 3(1). 136–139.1 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.