Ullrich Koethe

4.8k total citations · 1 hit paper
26 papers, 2.3k citations indexed

About

Ullrich Koethe is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Structural Biology. According to data from OpenAlex, Ullrich Koethe has authored 26 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Biophysics and 5 papers in Structural Biology. Recurrent topics in Ullrich Koethe's work include Cell Image Analysis Techniques (8 papers), Medical Image Segmentation Techniques (6 papers) and Advanced Electron Microscopy Techniques and Applications (5 papers). Ullrich Koethe is often cited by papers focused on Cell Image Analysis Techniques (8 papers), Medical Image Segmentation Techniques (6 papers) and Advanced Electron Microscopy Techniques and Applications (5 papers). Ullrich Koethe collaborates with scholars based in Germany, United States and Switzerland. Ullrich Koethe's co-authors include Fred A. Hamprecht, Anna Kreshuk, Christoph Straehle, Martin Schiegg, Carsten Haubold, Stuart Berg, Thorben Kroeger, Thorsten Beier, Bernhard X. Kausler and Fynn Beuttenmueller and has published in prestigious journals such as Bioinformatics, PLoS ONE and Nature Methods.

In The Last Decade

Ullrich Koethe

24 papers receiving 2.3k citations

Hit Papers

ilastik: interactive machine learning for (bio)image anal... 2019 2026 2021 2023 2019 500 1000 1.5k
What are hit papers?

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.

  1. ilastik: interactive machine learning for (bio)image analysis
    2019 1.8k citations Stuart Berg, Dominik Kutra et al. Nature Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ullrich Koethe Germany 12 830 790 239 234 217 26 2.3k
Christoph Straehle Germany 8 1.1k 1.3× 1.0k 1.3× 313 1.3× 292 1.2× 291 1.3× 10 2.9k
Carsten Haubold Germany 7 771 0.9× 670 0.8× 232 1.0× 220 0.9× 185 0.9× 10 2.0k
Thorsten Beier Germany 8 747 0.9× 615 0.8× 227 0.9× 221 0.9× 142 0.7× 15 2.0k
Bernhard X. Kausler Germany 6 781 0.9× 645 0.8× 261 1.1× 220 0.9× 153 0.7× 6 2.1k
Martin Schiegg Germany 7 784 0.9× 692 0.9× 233 1.0× 226 1.0× 139 0.6× 10 2.1k
Anna Kreshuk Germany 21 1.1k 1.3× 1.1k 1.4× 314 1.3× 355 1.5× 190 0.9× 39 3.1k
Thorben Kroeger Germany 5 742 0.9× 604 0.8× 225 0.9× 214 0.9× 93 0.4× 5 1.9k
Vannary Meas‐Yedid France 24 834 1.0× 593 0.8× 386 1.6× 226 1.0× 273 1.3× 47 2.6k
Dominik Kutra Germany 3 738 0.9× 605 0.8× 224 0.9× 222 0.9× 85 0.4× 6 1.9k
Kemal Eren Türkiye 10 1.0k 1.3× 586 0.7× 242 1.0× 237 1.0× 91 0.4× 53 2.7k

Countries citing papers authored by Ullrich Koethe

Since Specialization
Citations

This map shows the geographic impact of Ullrich Koethe'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 Ullrich Koethe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ullrich Koethe more than expected).

Fields of papers citing papers by Ullrich Koethe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ullrich Koethe. 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 Ullrich Koethe. The network helps show where Ullrich Koethe may publish in the future.

Co-authorship network of co-authors of Ullrich Koethe

This figure shows the co-authorship network connecting the top 25 collaborators of Ullrich Koethe. A scholar is included among the top collaborators of Ullrich Koethe 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 Ullrich Koethe. Ullrich Koethe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Adler, Tim, Annika Reinke, Minu D. Tizabi, et al.. (2025). Application-driven validation of posteriors in inverse problems. Medical Image Analysis. 101. 103474–103474. 1 indexed citations
2.
Klessen, Ralf S., et al.. (2023). Noise-Net: determining physical properties of H iiregions reflecting observational uncertainties. Monthly Notices of the Royal Astronomical Society. 520(4). 4981–5001. 7 indexed citations
3.
Pellegrini, E., et al.. (2022). Emission-line diagnostics of H ii regions using conditional invertible neural networks. Monthly Notices of the Royal Astronomical Society. 512(1). 617–647. 10 indexed citations
4.
Berg, Stuart, Dominik Kutra, Thorben Kroeger, et al.. (2019). ilastik: interactive machine learning for (bio)image analysis. Nature Methods. 16(12). 1226–1232. 1844 indexed citations breakdown →
5.
Haubold, Carsten, Martin Schiegg, Anna Kreshuk, et al.. (2016). Segmenting and Tracking Multiple Dividing Targets Using ilastik. Advances in anatomy, embryology and cell biology. 219. 199–229. 35 indexed citations
6.
Schiegg, Martin, et al.. (2015). Proof-reading guidance in cell tracking by sampling from tracking-by-assignment models. 394–398. 1 indexed citations
7.
Kreshuk, Anna, Ullrich Koethe, Mortimer Gierthmuehlen, et al.. (2015). Automated tracing of myelinated axons and detection of the nodes of Ranvier in serial images of peripheral nerves. Journal of Microscopy. 259(2). 143–154. 11 indexed citations
8.
Diego, Ferran, et al.. (2014). Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning. 2736–2743. 19 indexed citations
9.
Kreshuk, Anna, et al.. (2014). Automated Detection of Synapses in Serial Section Transmission Electron Microscopy Image Stacks. PLoS ONE. 9(2). e87351–e87351. 35 indexed citations
10.
Schiegg, Martin, Philipp Hanslovsky, Carsten Haubold, et al.. (2014). Graphical model for joint segmentation and tracking of multiple dividing cells. Bioinformatics. 31(6). 948–956. 57 indexed citations
11.
Kroeger, Thorben, Shawn Mikula, Winfried Denk, Ullrich Koethe, & Fred A. Hamprecht. (2013). Learning to Segment Neurons with Non-local Quality Measures. Lecture notes in computer science. 16(Pt 2). 419–427. 7 indexed citations
12.
Straehle, Christoph, Ullrich Koethe, & Fred A. Hamprecht. (2013). Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria. 1849–1856. 1 indexed citations
13.
Lou, Xinghua, Ullrich Koethe, Joachim Wittbrodt, & Fred A. Hamprecht. (2012). Learning to segment dense cell nuclei with shape prior. 1012–1018. 34 indexed citations
14.
Straehle, Christoph, Ullrich Koethe, Graham Knott, et al.. (2012). Seeded watershed cut uncertainty estimators for guided interactive segmentation. 765–772. 16 indexed citations
15.
Andres, Bjoern, Ullrich Koethe, Thorben Kroeger, et al.. (2011). 3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries. Medical Image Analysis. 16(4). 796–805. 27 indexed citations
16.
Kreshuk, Anna, Christoph Straehle, Christoph Sommer, et al.. (2011). Automated Detection and Segmentation of Synaptic Contacts in Nearly Isotropic Serial Electron Microscopy Images. PLoS ONE. 6(10). e24899–e24899. 96 indexed citations
17.
Palenstijn, Willem Jan, et al.. (2010). Projection and backprojection in tomography: design choices and considerations. Data Archiving and Networked Services (DANS). 106–110.
18.
Koethe, Ullrich. (2003). Edge and Junction Detection with an Improved Structure Tensor. 2 indexed citations
19.
Koethe, Ullrich & Karsten Weihe. (2000). The STL Model in the Geometric Domain. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2 indexed citations
20.
Koethe, Ullrich, et al.. (1993). <title>SMART: system for segmentation matching and reconstruction</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1943. 66–78. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Christoph Straehle Breakdown of academic impact, for papers by Carsten Haubold Breakdown of academic impact, for papers by Thorsten Beier Breakdown of academic impact, for papers by Bernhard X. Kausler Breakdown of academic impact, for papers by Martin Schiegg Breakdown of academic impact, for papers by Anna Kreshuk Breakdown of academic impact, for papers by Thorben Kroeger Breakdown of academic impact, for papers by Vannary Meas‐Yedid Breakdown of academic impact, for papers by Dominik Kutra Breakdown of academic impact, for papers by Kemal Eren
Rankless by CCL
2026