Daniel Baumgarten

823 citations
69 papers · 547 indexed · h-index 14

Impact in

    • Characterization and Applications of Magnetic Nanoparticles
    • Microfluidic and Bio-sensing Technologies
    • Vestibular and auditory disorders

Papers in

Daniel Baumgarten

63 papers receiving 536 citations

Peers

Daniel Baumgarten
Comparison fields: 5 of 116
  • Biomedical Engineering 261
  • Neurology 40
  • Sensory Systems 21
  • Accounting 37
  • Cognitive Neuroscience 60
Replace Xiaolin Luo with:
Xiaolin Luo Australia
Charles Polk United States
Hirofumi Kobayashi Japan
Matthew Caldwell United Kingdom
Paolo Pozzi Netherlands
Silvia Farcito Switzerland
Sayantan Ghosh India
Yilong Liu China
Yong Wu China
Tian Guan China
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Citations per field
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Xiaolin Luo · 1×
Citations per year

Countries citing papers authored by Daniel Baumgarten

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Baumgarten Line = papers co-authored together Daniel Baumgarten links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201542
2 201033
3 200830
4 202029
5 201228
6 196727
7 199026
8 201822
9 202121
10 201816
11 201016
12 201416
13 201515
14 201814
15 201913
16 201210
17 201410
18 202010
19 20179
20 20189

About Daniel Baumgarten

Daniel Baumgarten is a scholar working on Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 69 papers that have together received 547 indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (23 papers), Electrical and Bioimpedance Tomography (12 papers), Geomagnetism and Paleomagnetism Studies (11 papers), Neural dynamics and brain function (6 papers), EEG and Brain-Computer Interfaces (5 papers), Vestibular and auditory disorders (5 papers), Neuroscience and Neural Engineering (4 papers) and Geophysical and Geoelectrical Methods (4 papers). The work is most often cited by research in Biomedical Engineering (261 citations), Neurology (40 citations), Sensory Systems (21 citations), Accounting (37 citations) and Cognitive Neuroscience (60 citations). Daniel Baumgarten has collaborated with scholars based in Germany, Austria and Malaysia. Frequent co-authors include Jens Haueisen, Frank Wiekhorst, Maik Liebl, Uwe Steinhoff, Carsten Homburg, Lutz Trahms, Michael Handler, Baldomero M. Olivera, J. Howard Frank and Eko Supriyanto. Their work appears in journals such as Physics in Medicine and Biology, IEEE Transactions on Magnetics, Sensors, Frontiers in Neuroscience and Journal of Magnetism and Magnetic Materials.

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.

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