Thorsten Beier

4.5k citations
20 papers · 2.3k · 1 hit paper · h-index 10

Impact in

  • Biophysics top 0.2%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Advanced Electron Microscopy Techniques and Applications

Papers in

Thorsten Beier

20 papers receiving 2.2k citations

Thorsten Beier's Hit Papers

ilastik: interactive machine learning for (bio)image analysis 2019 · 2.0k citations
2.0k0+2+4Years since publication50010001.5k

Peers

Thorsten Beier
Comparison fields: 5 of 164
  • Biophysics 658
  • Structural Biology 94
  • Media Technology 150
  • Cell Biology 230
  • Molecular Biology 756
Replace Thorben Kroeger with:
Thorben Kroeger Germany
Carsten Haubold Germany
Bernhard X. Kausler Germany
Martin Schiegg Germany
Dominik Kutra Germany
Fynn Beuttenmueller Germany
Kemal Eren Türkiye
Stuart Berg United States
Adrian Wolny Germany
Janez Aleš Germany
Thorsten Beier relative to Thorben Kroeger Germany Thorben Kroeger's profile →
Citations per field
00.5×1.5×2×2.4×
Thorben Kroeger · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Thorsten Beier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thorsten Beier Line = papers co-authored together Thorsten Beier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
ilastik: interactive machine learning for (bio)image analysis
Hit paper breakdown →
20191993
2 201163
3 201426
4 201525
5 201722
6 201622
7 201217
8 201716
9 201911
10 202211
11 20227
12 20147
13 20106
14 20116
15 20156
16 20244
17 20154
18 20154
19 20172
20 20231

About Thorsten Beier

Thorsten Beier is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Mechanical Engineering, Mechanics of Materials and Biophysics, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Metal Forming Simulation Techniques (6 papers), Medical Image Segmentation Techniques (5 papers), Metallurgy and Material Forming (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Cell Image Analysis Techniques (3 papers), Microstructure and Mechanical Properties of Steels (2 papers), Advanced Clustering Algorithms Research (2 papers) and Fatigue and fracture mechanics (2 papers). The work is most often cited by research in Biophysics (658 citations), Structural Biology (94 citations), Media Technology (150 citations), Cell Biology (230 citations) and Molecular Biology (756 citations). Thorsten Beier has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Fred A. Hamprecht, Anna Kreshuk, Thorben Kroeger, Ullrich Koethe, Kemal Eren, Martin Schiegg, Chong Zhang, Fynn Beuttenmueller, Adrian Wolny and Carsten Haubold. Their work appears in journals such as Nature Methods, IEEE Transactions on Medical Imaging, steel research international, Lecture notes in computer science and SAE International Journal of Materials and Manufacturing.

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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