J. Behrens
Impact in
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- Manufacturing Process and Optimization
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- Microfluidic and Bio-sensing Technologies
- Microfluidic and Capillary Electrophoresis Applications
- 3D Printing in Biomedical Research
Papers in
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- Astrophysics and Cosmic Phenomena 3
- Neutrino Physics Research 3
- Particle Detector Development and Performance 1
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- Manufacturing Process and Optimization 2
- Co-authors
- James Robert Friend (1 shared paper)Amgad R. Rezk (1 shared paper)Leslie Y. Yeo (1 shared paper)Gerhard Lindner (1 shared paper)Christian Brecher (3 shared papers)Tae Hun Lee (2 shared papers)Werner Zang (1 shared paper)Fritz Klocke (1 shared paper)
- Journals
- The European Physical Journal C (1 paper)Lab on a Chip (1 paper)IFIP advances in information and communication technology (1 paper)Lecture notes in computer science (1 paper)Repository KITopen (Karlsruhe Institute of Technology) (2 papers)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
J. Behrens
10 papers receiving 95 citations
Peers
Comparison fields: 5 of 43
- Industrial and Manufacturing Engineering 15
- Biomedical Engineering 61
- Nuclear and High Energy Physics 11
- Physical and Theoretical Chemistry 4
- Media Technology 4
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 | 20 | |
| 3 | 2018 | 10 | |
| 4 | 2017 | 8 | |
| 5 | 2010 | 8 | |
| 6 | 2008 | 4 | |
| 7 | 2018 | 2 | |
| 8 | 2018 | 2 | |
| 9 | 2018 | 1 | |
| 10 | 1998 | 1 |
About J. Behrens
J. Behrens is a scholar working on Nuclear and High Energy Physics, Industrial and Manufacturing Engineering, Software, Mechanical Engineering and Statistics, Probability and Uncertainty, having authored 10 papers that have together received 97 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (3 papers), Astrophysics and Cosmic Phenomena (3 papers), Neutrino Physics Research (3 papers), Manufacturing Process and Optimization (2 papers), Particle Detector Development and Performance (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), Pluripotent Stem Cells Research (1 paper) and Acoustic Wave Resonator Technologies (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (15 citations), Biomedical Engineering (61 citations), Nuclear and High Energy Physics (11 citations), Physical and Theoretical Chemistry (4 citations) and Media Technology (4 citations). J. Behrens has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include James Robert Friend, Amgad R. Rezk, Leslie Y. Yeo, Gerhard Lindner, Christian Brecher, Tae Hun Lee, Werner Zang, Fritz Klocke, R. Schmitt and Paul Wanek. Their work appears in journals such as The European Physical Journal C, Lab on a Chip, IFIP advances in information and communication technology, Lecture notes in computer science and Repository KITopen (Karlsruhe 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.