A. Stoschek

988 citations
9 papers · 749 · h-index 8

Impact in

Papers in

A. Stoschek

9 papers receiving 737 citations

Peers

A. Stoschek
Comparison fields: 5 of 96
  • Structural Biology 306
  • Surfaces, Coatings and Films 171
  • Biophysics 80
  • Cell Biology 205
  • Cellular and Molecular Neuroscience 191
Replace Antonio Martínez-Sánchez with:
Antonio Martínez-Sánchez Spain
Albert F. Lawrence United States
Shawn Mikula United States
Arthur W. Wetzel United States
Anchi Cheng United States
Felix J.B. Bäuerlein Germany
J. Frank United States
Yoshiyuki Fukuda Japan
Francesca Cantele Italy
Elizabeth Jurrus United States
A. Stoschek relative to Antonio Martínez-Sánchez Spain Antonio Martínez-Sánchez's profile →
Citations per field
00.5×1.5×
Antonio Martínez-Sánchez · 1×
Citations per year

Countries citing papers authored by A. Stoschek

Since Specialization
Citations

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

Fields of papers citing papers by A. Stoschek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside A. Stoschek, 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 A. Stoschek Line = papers co-authored together A. Stoschek links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1997307
2 2001289
3 199741
4 200141
5 200225
6 199618
7 199717
8 20027
9 19964

About A. Stoschek

A. Stoschek is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Biophysics, Structural Biology and Media Technology, having authored 9 papers that have together received 749 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Cell Image Analysis Techniques (3 papers), Image Processing Techniques and Applications (2 papers), RNA and protein synthesis mechanisms (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Electron and X-Ray Spectroscopy Techniques (1 paper), Machine Learning in Bioinformatics (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Structural Biology (306 citations), Surfaces, Coatings and Films (171 citations), Biophysics (80 citations), Cell Biology (205 citations) and Cellular and Molecular Neuroscience (191 citations). A. Stoschek has collaborated with scholars based in Germany and United States. Frequent co-authors include R. Hegerl, Robert M. Marshall, Mark Harlow, U.J. McMahan, David Ress, Wolfgang Baumeister, Abraham J. Koster, Rudo Grimm, Jochen Walz and Dieter Typke. Their work appears in journals such as Journal of Structural Biology, IEEE Transactions on Biomedical Engineering, Nature, Journal of Microscopy and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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