Deborah Schmidt
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
Papers in
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- Cell Image Analysis Techniques 5
- Advanced Fluorescence Microscopy Techniques 1
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- Advanced Electron Microscopy Techniques and Applications 1
- Co-authors
- Florian Jug (3 shared papers)Robert Haase (2 shared papers)Pavel Tomančák (2 shared papers)Tobias Pietzsch (1 shared paper)Matthias Arzt (1 shared paper)J.R. Deschamps (1 shared paper)Christopher Schmied (1 shared paper)MARTIN G. WEIGERT (3 shared papers)
- Journals
- Nature Methods (2 papers)Nature Communications (2 papers)The Journal of Cell Biology (1 paper)Nature Protocols (1 paper)Frontiers in Computer Science (1 paper)
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Deborah Schmidt
8 papers receiving 1.3k citations
Deborah Schmidt's Hit Papers
Peers
Comparison fields: 5 of 106
- Biophysics 601
- Structural Biology 46
- Computer Vision and Pattern Recognition 296
- Acoustics and Ultrasonics 14
- Cell Biology 91
Countries citing papers authored by Deborah Schmidt
This map shows the geographic impact of Deborah Schmidt'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 Deborah Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah Schmidt more than expected).
Fields of papers citing papers by Deborah Schmidt
This network shows the impact of papers produced by Deborah Schmidt. 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 Deborah Schmidt. The network helps show where Deborah Schmidt may publish in the future.
Co-authors
The 23 scholars most cited alongside Deborah Schmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Content-aware image restoration: pushing the limits of fluorescence microscopy Hit paper breakdown → | 2018 | 869 |
| 2 | LABKIT: Labeling and Segmentation Toolkit for Big Image Data Hit paper breakdown → | 2022 | 216 |
| 3 | 2019 | 160 | |
| 4 | 2020 | 67 | |
| 5 | 2024 | 19 | |
| 6 | 2024 | 9 | |
| 7 | 2025 | 9 | |
| 8 | 2013 | 3 |
About Deborah Schmidt
Deborah Schmidt is a scholar working on Biophysics, Structural Biology, Computer Vision and Pattern Recognition, Human-Computer Interaction and Hardware and Architecture, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), Pancreatic function and diabetes (2 papers), Genetic and Kidney Cyst Diseases (1 paper), Parallel Computing and Optimization Techniques (1 paper), Interactive and Immersive Displays (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Biophysics (601 citations), Structural Biology (46 citations), Computer Vision and Pattern Recognition (296 citations), Acoustics and Ultrasonics (14 citations) and Cell Biology (91 citations). Deborah Schmidt has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Florian Jug, Robert Haase, Pavel Tomančák, Tobias Pietzsch, Matthias Arzt, J.R. Deschamps, Christopher Schmied, MARTIN G. WEIGERT, Löıc A. Royer and Uwe Schmidt. Their work appears in journals such as Nature Methods, Nature Communications, The Journal of Cell Biology, Nature Protocols and Frontiers in Computer Science.
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.