Thorsten Beier

4.4k total citations · 1 hit paper
15 papers, 2.0k citations indexed

About

Thorsten Beier is a scholar working on Mechanical Engineering, Mechanics of Materials and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thorsten Beier has authored 15 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanical Engineering, 6 papers in Mechanics of Materials and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thorsten Beier's work include Metal Forming Simulation Techniques (6 papers), Metallurgy and Material Forming (4 papers) and Medical Image Segmentation Techniques (3 papers). Thorsten Beier is often cited by papers focused on Metal Forming Simulation Techniques (6 papers), Metallurgy and Material Forming (4 papers) and Medical Image Segmentation Techniques (3 papers). Thorsten Beier collaborates with scholars based in Germany, United States and Switzerland. Thorsten Beier's co-authors include Fred A. Hamprecht, Anna Kreshuk, Thorben Kroeger, Ullrich Koethe, Chong Zhang, Dominik Kutra, Kemal Eren, Bernhard X. Kausler, Christoph Straehle and Martin Schiegg and has published in prestigious journals such as Nature Methods, IEEE Transactions on Medical Imaging and steel research international.

In The Last Decade

Thorsten Beier

15 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

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						Papers	Cites
Thorsten Beier Germany	8	747	615	227	221	142	15	2.0k
Bernhard X. Kausler Germany	6	781 1.0×	645 1.0×	261 1.1×	220 1.0×	153 1.1×	6	2.1k
Martin Schiegg Germany	7	784 1.0×	692 1.1×	233 1.0×	226 1.0×	139 1.0×	10	2.1k
Carsten Haubold Germany	7	771 1.0×	670 1.1×	232 1.0×	220 1.0×	185 1.3×	10	2.0k
Thorben Kroeger Germany	5	742 1.0×	604 1.0×	225 1.0×	214 1.0×	93 0.7×	5	1.9k
Dominik Kutra Germany	3	738 1.0×	605 1.0×	224 1.0×	222 1.0×	85 0.6×	6	1.9k
Tim Wang China	2	877 1.2×	638 1.0×	205 0.9×	173 0.8×	135 1.0×	5	1.7k
Fynn Beuttenmueller Germany	2	740 1.0×	645 1.0×	229 1.0×	242 1.1×	87 0.6×	2	1.9k
Ullrich Koethe Germany	12	830 1.1×	790 1.3×	239 1.1×	234 1.1×	217 1.5×	26	2.3k
Michalis Michaelos United States	8	887 1.2×	645 1.0×	211 0.9×	174 0.8×	136 1.0×	8	1.9k
Adrian Wolny Germany	8	811 1.1×	593 1.0×	240 1.1×	220 1.0×	76 0.5×	11	2.0k

Countries citing papers authored by Thorsten Beier

Since Specialization

Citations

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

Fields of papers citing papers by Thorsten Beier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten Beier

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

All Works

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15 of 15 papers shown

1.

Beier, Thorsten, et al.. (2024). Effects of Damage Evolution on Edge Crack Sensitivity in Dual‐Phase Steels. steel research international. 95(10). 3 indexed citations

2.

Beier, Thorsten, et al.. (2023). Investigation of tool damage in shear cutting of ultra-high strength sheet steels. IOP Conference Series Materials Science and Engineering. 1284(1). 12080–12080. 1 indexed citations

3.

Bailoni, Alberto, Constantin Pape, Steffen Wolf, et al.. (2022). GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11635–11645. 9 indexed citations

4.

Beier, Thorsten, et al.. (2022). Effects of Microstructural Properties on Damage Evolution and Edge Crack Sensitivity of DP1000 Steels. Crystals. 12(6). 845–845. 5 indexed citations

5.

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 →

6.

Beier, Thorsten, et al.. (2019). The effects of shear affected zone on edge crack sensitivity in dual-phase steels. IOP Conference Series Materials Science and Engineering. 651(1). 12073–12073. 11 indexed citations

7.

Beier, Thorsten, et al.. (2017). Neuron Segmentation With High-Level Biological Priors. IEEE Transactions on Medical Imaging. 37(4). 829–839. 18 indexed citations

8.

Pape, Constantin, Thorsten Beier, Peter Li, et al.. (2017). Solving Large Multicut Problems for Connectomics via Domain Decomposition. 1–10. 11 indexed citations

9.

Beier, Thorsten, et al.. (2017). Possibilities for specific utilization of material properties for an optimal part design. Journal of Physics Conference Series. 896. 12014–12014. 1 indexed citations

10.

Beier, Thorsten, Fred A. Hamprecht, & Jörg Hendrik Kappes. (2015). Fusion moves for correlation clustering. 3507–3516. 22 indexed citations

11.

Beier, Thorsten, et al.. (2015). Improving 3D EM data segmentation by joint optimization over boundary evidence and biological priors. 536–539. 4 indexed citations

12.

Beier, Thorsten, Thorben Kroeger, Jörg Hendrik Kappes, Ullrich Köthe, & Fred A. Hamprecht. (2014). Cut, Glue, &amp; Cut: A Fast, Approximate Solver for Multicut Partitioning. 73–80. 19 indexed citations

13.

Andres, Bjoern, Jörg Hendrik Kappes, Thorsten Beier, Ullrich Köthe, & Fred A. Hamprecht. (2011). Probabilistic image segmentation with closedness constraints. 2611–2618. 44 indexed citations

14.

Beier, Thorsten, et al.. (2011). Possibilities, Challenges and Risks in Creating Material Cards for Forming Simulations. AIP conference proceedings. 701–708. 5 indexed citations

15.

Beier, Thorsten, et al.. (2010). The Impact of Advanced Material Simulation Parameters in Press Shop Operations Using Mild Steel Grades. SAE International Journal of Materials and Manufacturing. 3(1). 737–749. 6 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.

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