Dylan Bannon
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Health Informatics top 10%
Papers in
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- Cell Image Analysis Techniques 3
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- Open Source Software Innovations 1
- Co-authors
- Erick Moen (3 shared papers)David Van Valen (3 shared papers)Takamasa Kudo (2 shared papers)Markus W. Covert (1 shared paper)Lior S. Pachter (1 shared paper)Eduardo da Veiga Beltrame (1 shared paper)Jase Gehring (1 shared paper)A. Sina Booeshaghi (1 shared paper)
- Journals
- Nature Methods (2 papers)Scientific Reports (1 paper)CaltechAUTHORS (California Institute of Technology) (1 paper)
- Partner nations
- United States
In The Last Decade
Dylan Bannon
4 papers receiving 1k citations
Dylan Bannon's Hit Papers
Peers
Comparison fields: 5 of 111
- Biophysics 501
- Health Informatics 23
- Structural Biology 15
- Acoustics and Ultrasonics 7
- Computer Vision and Pattern Recognition 135
Countries citing papers authored by Dylan Bannon
This map shows the geographic impact of Dylan Bannon'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 Dylan Bannon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan Bannon more than expected).
Fields of papers citing papers by Dylan Bannon
This network shows the impact of papers produced by Dylan Bannon. 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 Dylan Bannon. The network helps show where Dylan Bannon may publish in the future.
Co-authors
The 12 scholars most cited alongside Dylan Bannon, 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 | Deep learning for cellular image analysis Hit paper breakdown → | 2019 | 867 |
| 2 | 2021 | 116 | |
| 3 | 2019 | 54 | |
| 4 | DeepCell 2.0: Automated cloud deployment of deep learning models for large-scale cellular image analysis | 2018 | 10 |
About Dylan Bannon
Dylan Bannon is a scholar working on Biophysics, Computer Science Applications, Information Systems and Management, Biomedical Engineering and Nuclear Energy and Engineering, having authored 4 papers that have together received 1k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), Microfluidic and Capillary Electrophoresis Applications (1 paper), Academic Publishing and Open Access (1 paper) and Open Source Software Innovations (1 paper). The work is most often cited by research in Biophysics (501 citations), Health Informatics (23 citations), Structural Biology (15 citations), Acoustics and Ultrasonics (7 citations) and Computer Vision and Pattern Recognition (135 citations). Dylan Bannon has collaborated with scholars based in United States. Frequent co-authors include Erick Moen, David Van Valen, Takamasa Kudo, Markus W. Covert, Lior S. Pachter, Eduardo da Veiga Beltrame, Jase Gehring, A. Sina Booeshaghi, Morgan Sarah Schwartz and Noah F. Greenwald. Their work appears in journals such as Nature Methods, Scientific Reports and CaltechAUTHORS (California Institute of Technology).
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.