J. Behrens
Impact in
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- Microfluidic and Bio-sensing Technologies
- Microfluidic and Capillary Electrophoresis Applications
- 3D Printing in Biomedical Research
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- Neutrino Physics Research
- Dark Matter and Cosmic Phenomena
Papers in
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- Astrophysics and Cosmic Phenomena 3
- Neutrino Physics Research 3
- Dark Matter and Cosmic Phenomena 1
- Particle Detector Development and Performance 1
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- Advanced Measurement and Metrology Techniques 2
- Advanced machining processes and optimization 1
- Co-authors
- Amgad R. Rezk (1 shared paper)Leslie Y. Yeo (1 shared paper)Gerhard Lindner (1 shared paper)James Friend (1 shared paper)Oliver Brüstle (1 shared paper)Tae Hun Lee (2 shared papers)Robert Schmitt (1 shared paper)Fritz Klocke (1 shared paper)
- Journals
- Lab on a Chip (1 paper)The European Physical Journal C (1 paper)Repository KITopen (Karlsruhe Institute of Technology) (2 papers)Procedia CIRP (2 papers)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
J. Behrens
7 papers receiving 78 citations
Peers
Comparison fields: 5 of 32
- Biomedical Engineering 59
- Nuclear and High Energy Physics 11
- Industrial and Manufacturing Engineering 6
- Physical and Theoretical Chemistry 4
- Biophysics 2
Countries citing papers authored by J. Behrens
This map shows the geographic impact of J. Behrens'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 J. Behrens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Behrens more than expected).
Fields of papers citing papers by J. Behrens
This network shows the impact of papers produced by J. Behrens. 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 J. Behrens. The network helps show where J. Behrens may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Behrens, 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 | 2014 | 41 | |
| 2 | 2013 | 18 | |
| 3 | 2018 | 8 | |
| 4 | 2017 | 7 | |
| 5 | 2018 | 2 | |
| 6 | 2018 | 2 | |
| 7 | 2018 | 2 |
About J. Behrens
J. Behrens is a scholar working on Nuclear and High Energy Physics, Mechanical Engineering, Biomedical Engineering, Surgery and Molecular Biology, having authored 7 papers that have together received 80 indexed citations. Recurring topics across this work include Astrophysics and Cosmic Phenomena (3 papers), Neutrino Physics Research (3 papers), Advanced Measurement and Metrology Techniques (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Acoustic Wave Resonator Technologies (1 paper), Particle Detector Development and Performance (1 paper), Advanced machining processes and optimization (1 paper) and Tissue Engineering and Regenerative Medicine (1 paper). The work is most often cited by research in Biomedical Engineering (59 citations), Nuclear and High Energy Physics (11 citations), Industrial and Manufacturing Engineering (6 citations), Physical and Theoretical Chemistry (4 citations) and Biophysics (2 citations). J. Behrens has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Amgad R. Rezk, Leslie Y. Yeo, Gerhard Lindner, James Friend, Oliver Brüstle, Tae Hun Lee, Robert Schmitt, Fritz Klocke, Martin Zenke and Werner Zang. Their work appears in journals such as Lab on a Chip, The European Physical Journal C, Repository KITopen (Karlsruhe Institute of Technology), Procedia CIRP and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.