Tim Becker
- Biophysics top 0.2%
- Cell Image Analysis Techniques 11
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments 4
- Media Technology top 1%
- Structural Biology top 5%
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- Single-cell and spatial transcriptomics 5
- Genetics, Bioinformatics, and Biomedical Research 3
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- Digital Radiography and Breast Imaging 5
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- Medical Imaging Techniques and Applications 3
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- Time Series Analysis and Forecasting 3
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- AI in cancer detection 3
- Co-authors
- Shantanu SinghAnne E. CarpenterClaire McQuinKyle W. KarhohsAllen GoodmanMinh DoanBeth A. CiminiDerek Thirstrup
- Journals
- American Journal of Transplantation (2 papers)Journal of the American College of Cardiology (2 papers)Cytometry Part A (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Tim Becker
29 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Biophysics 865
- Transplantation 106
- Media Technology 312
- Structural Biology 32
- Computer Vision and Pattern Recognition 365
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 40 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 77 | |
| 6 | Nucleus segmentation across imaging experiments: the 2018 Data Science Bowlbreakdown → | 2019 | 463 |
| 7 | 2019 | 187 | |
| 8 | 2018 | 17 | |
| 9 | CellProfiler 3.0: Next-generation image processing for biologybreakdown → | 2018 | 1172 |
| 10 | 2016 | 22 | |
| 11 | 2014 | 0 | |
| 12 | 2012 | 42 | |
| 13 | 2012 | 5 | |
| 14 | 2012 | 5 | |
| 15 | 2012 | 5 | |
| 16 | 2011 | 45 | |
| 17 | 2008 | 30 | |
| 18 | 2006 | 100 | |
| 19 | ISIS Image Processing Capabilities for MGS/MOC Imaging Data | 2001 | 7 |
| 20 | 2000 | 13 |
About Tim Becker
Tim Becker is a scholar working on Biophysics, Transplantation and Media Technology, having authored 33 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (11 papers), Single-cell and spatial transcriptomics (5 papers), Digital Radiography and Breast Imaging (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), Medical Imaging Techniques and Applications (3 papers), Time Series Analysis and Forecasting (3 papers), AI in cancer detection (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). The work is most often cited by research in Biophysics (865 citations), Transplantation (106 citations) and Media Technology (312 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, Derek Thirstrup, Liya Ding and Susanne M. Rafelski. Their work appears in journals such as American Journal of Transplantation, Journal of the American College of Cardiology, Cytometry Part A, Nature Methods and Optics Express.
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.