Tim Becker
Impact in
- Biophysics top 0.2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Media Technology top 1%
- Image Processing Techniques and Applications
Papers in
- Biophysics 11
- Cell Image Analysis Techniques 10
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- Single-cell and spatial transcriptomics 5
- Genetics, Bioinformatics, and Biomedical Research 3
- Co-authors
- Shantanu Singh (7 shared papers)Anne E. Carpenter (6 shared papers)Claire McQuin (4 shared papers)Kyle W. Karhohs (3 shared papers)Allen Goodman (4 shared papers)Minh Doan (2 shared papers)Beth A. Cimini (2 shared papers)Winfried Wiegraebe (1 shared paper)
- Journals
- American Journal of Transplantation (2 papers)Cytometry Part A (2 papers)Journal of the American College of Cardiology (2 papers)Nature Communications (1 paper)Nature Methods (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Tim Becker
29 papers receiving 2.4k citations
Tim Becker's Hit Papers
Peers
Comparison fields: 5 of 149
- Biophysics 858
- Media Technology 298
- Transplantation 81
- Structural Biology 27
- Computer Vision and Pattern Recognition 349
Countries citing papers authored by Tim Becker
This map shows the geographic impact of Tim Becker'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 Tim Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Becker more than expected).
Fields of papers citing papers by Tim Becker
This network shows the impact of papers produced by Tim Becker. 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 Tim Becker. The network helps show where Tim Becker may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Becker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CellProfiler 3.0: Next-generation image processing for biology Hit paper breakdown → | 2018 | 1204 |
| 2 | Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl Hit paper breakdown → | 2019 | 486 |
| 3 | 2019 | 188 | |
| 4 | 2006 | 102 | |
| 5 | 2021 | 81 | |
| 6 | 2011 | 46 | |
| 7 | 2023 | 45 | |
| 8 | 2012 | 40 | |
| 9 | 2012 | 38 | |
| 10 | 2017 | 31 | |
| 11 | 2008 | 30 | |
| 12 | 2016 | 23 | |
| 13 | 2018 | 18 | |
| 14 | 2000 | 17 | |
| 15 | 2017 | 14 | |
| 16 | 2000 | 13 | |
| 17 | 2022 | 9 | |
| 18 | 2010 | 9 | |
| 19 | ISIS Image Processing Capabilities for MGS/MOC Imaging Data | 2001 | 7 |
| 20 | 2012 | 5 |
About Tim Becker
Tim Becker is a scholar working on Biophysics, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Transplantation, having authored 33 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (10 papers), Single-cell and spatial transcriptomics (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), Digital Radiography and Breast Imaging (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Image Processing Techniques and Applications (3 papers), Time Series Analysis and Forecasting (3 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Biophysics (858 citations), Media Technology (298 citations), Transplantation (81 citations), Structural Biology (27 citations) and Computer Vision and Pattern Recognition (349 citations). Tim Becker has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Shantanu Singh, Anne E. Carpenter, Claire McQuin, Kyle W. Karhohs, Allen Goodman, Minh Doan, Beth A. Cimini, Winfried Wiegraebe, Liya Ding and Lee Kamentsky. Their work appears in journals such as American Journal of Transplantation, Cytometry Part A, Journal of the American College of Cardiology, Nature Communications and Nature Methods.
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.