Tim Becker
Impact in
- Biophysics top 0.2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
-
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
- Biophysics 14
- Cell Image Analysis Techniques 14
-
- Asthma and respiratory diseases 2
- 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)Beth A. Cimini (2 shared papers)Minh Doan (2 shared papers)Juan Carlos Caicedo (2 shared papers)
- Journals
- Nature Methods (2 papers)Cytometry Part A (2 papers)Journal of Cellular and Molecular Medicine (1 paper)Nature Communications (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
Tim Becker
18 papers receiving 2.5k citations
Tim Becker's Hit Papers
Peers
Comparison fields: 5 of 126
- Biophysics 900
- Computer Vision and Pattern Recognition 322
- Aging 16
- Cell Biology 121
- Molecular Biology 498
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
| # | Work | ||
|---|---|---|---|
| 1 | CellProfiler 3.0: Next-generation image processing for biology Hit paper breakdown → | 2018 | 1370 |
| 2 | Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl Hit paper breakdown → | 2019 | 579 |
| 3 | 2019 | 220 | |
| 4 | 2021 | 96 | |
| 5 | 2023 | 59 | |
| 6 | 2011 | 53 | |
| 7 | 2012 | 47 | |
| 8 | 2017 | 35 | |
| 9 | 2025 | 22 | |
| 10 | 2017 | 17 | |
| 11 | 2012 | 6 | |
| 12 | 2012 | 5 | |
| 13 | 2012 | 5 | |
| 14 | 2011 | 4 | |
| 15 | 2018 | 2 | |
| 16 | Methods for Image-Based Cell Profiling [R package cytominer version 0.2.2] | 2020 | 2 |
| 17 | 2009 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2014 | 0 |
About Tim Becker
Tim Becker is a scholar working on Biophysics, Physiology, Rehabilitation, Cell Biology and Computational Theory and Mathematics, having authored 19 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (14 papers), Asthma and respiratory diseases (2 papers), Wound Healing and Treatments (1 paper), Photonic Crystals and Applications (1 paper), Cellular Mechanics and Interactions (1 paper), Chemokine receptors and signaling (1 paper), Computational Drug Discovery Methods (1 paper) and Tissue Engineering and Regenerative Medicine (1 paper). The work is most often cited by research in Biophysics (900 citations), Computer Vision and Pattern Recognition (322 citations), Aging (16 citations), Cell Biology (121 citations) and Molecular Biology (498 citations). Tim Becker has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Shantanu Singh, Anne E. Carpenter, Claire McQuin, Kyle W. Karhohs, Allen Goodman, Beth A. Cimini, Minh Doan, Juan Carlos Caicedo, Liya Ding and Susanne M. Rafelski. Their work appears in journals such as Nature Methods, Cytometry Part A, Journal of Cellular and Molecular Medicine, Nature Communications and Molecular Biology of the Cell.
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.