Daniel Baumgarten
Impact in
- Biomedical Engineering top 10%
- Characterization and Applications of Magnetic Nanoparticles
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- Vestibular and auditory disorders
Papers in
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- Characterization and Applications of Magnetic Nanoparticles 29
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- EEG and Brain-Computer Interfaces 10
- Co-authors
- Jens Haueisen (23 shared papers)Frank Wiekhorst (16 shared papers)Uwe Steinhoff (10 shared papers)Maik Liebl (9 shared papers)Lutz Trahms (8 shared papers)Michael S. Handler (11 shared papers)Dietmar Eberbeck (2 shared papers)Eko Supriyanto (3 shared papers)
In The Last Decade
Daniel Baumgarten
67 papers receiving 541 citations
Peers
Comparison fields: 5 of 73
- Biomedical Engineering 266
- Neurology 33
- Cognitive Neuroscience 67
- Mathematical Physics 34
- Atomic and Molecular Physics, and Optics 92
Countries citing papers authored by Daniel Baumgarten
This map shows the geographic impact of Daniel Baumgarten'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 Daniel Baumgarten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Baumgarten more than expected).
Fields of papers citing papers by Daniel Baumgarten
This network shows the impact of papers produced by Daniel Baumgarten. 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 Daniel Baumgarten. The network helps show where Daniel Baumgarten may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Baumgarten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 51 | |
| 2 | 2008 | 38 | |
| 3 | 2020 | 32 | |
| 4 | 2012 | 31 | |
| 5 | 2018 | 25 | |
| 6 | 2021 | 23 | |
| 7 | 2015 | 20 | |
| 8 | 2018 | 19 | |
| 9 | 2010 | 18 | |
| 10 | 2014 | 18 | |
| 11 | 2018 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2020 | 12 | |
| 14 | 2012 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2024 | 11 | |
| 17 | 2014 | 10 | |
| 18 | 2017 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2023 | 9 |
About Daniel Baumgarten
Daniel Baumgarten is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Mathematical Physics, Health Information Management and Cellular and Molecular Neuroscience, having authored 74 papers that have together received 546 indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (29 papers), EEG and Brain-Computer Interfaces (10 papers), Atomic and Subatomic Physics Research (7 papers), Numerical methods in inverse problems (6 papers), Neuroscience and Neural Engineering (6 papers), Magnetic Field Sensors Techniques (5 papers), Retinal Imaging and Analysis (5 papers) and Optical measurement and interference techniques (4 papers). The work is most often cited by research in Biomedical Engineering (266 citations), Neurology (33 citations), Cognitive Neuroscience (67 citations), Mathematical Physics (34 citations) and Atomic and Molecular Physics, and Optics (92 citations). Daniel Baumgarten has collaborated with scholars based in Germany, Austria and Belgium. Frequent co-authors include Jens Haueisen, Frank Wiekhorst, Uwe Steinhoff, Maik Liebl, Lutz Trahms, Michael S. Handler, Dietmar Eberbeck, Eko Supriyanto, Johannes Vorwerk and Guillaume Crevecoeur. Their work appears in journals such as Physics in Medicine and Biology, Journal of Magnetism and Magnetic Materials, IEEE Transactions on Magnetics, Frontiers in Neuroscience and Sensors.
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.