Daniel S. Barth

6.0k citations
93 papers · 4.8k · h-index 41

Impact in

    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
    • Functional Brain Connectivity Studies
    • Neuroscience and Music Perception

Papers in

Daniel S. Barth

88 papers receiving 4.6k citations

Peers

Daniel S. Barth
Comparison fields: 5 of 126
  • Cognitive Neuroscience 3.2k
  • Sensory Systems 513
  • Cellular and Molecular Neuroscience 1.6k
  • Psychiatry and Mental health 723
  • Neurology 337
Replace Patrick E. Barta with:
Patrick E. Barta United States
Kadharbatcha S. Saleem United States
Mark L. Andermann United States
Richard C. Saunders United States
John Zempel United States
Joseph O’Neill United States
Ernst Meyer Canada
Torsten Baldeweg United Kingdom
István Ulbert Hungary
Daniel Jeanmonod Switzerland
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Citations per year

Countries citing papers authored by Daniel S. Barth

Since Specialization
Citations

This map shows the geographic impact of Daniel S. Barth'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 S. Barth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Barth more than expected).

Fields of papers citing papers by Daniel S. Barth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Barth. 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 S. Barth. The network helps show where Daniel S. Barth may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel S. Barth, 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 S. Barth Line = papers co-authored together Daniel S. Barth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001281
2 1982196
3 1988185
4 1984170
5 1994166
6 2000155
7 2009143
8 1996135
9 1990123
10 1991122
11 1995121
12 1986119
13 1999117
14 1990114
15 1988113
16 2008112
17 1987102
18 1989100
19 201188
20 200885

About Daniel S. Barth

Daniel S. Barth is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Psychiatry and Mental health, Electrical and Electronic Engineering and Molecular Biology, having authored 93 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (50 papers), EEG and Brain-Computer Interfaces (26 papers), Neuroscience and Neural Engineering (23 papers), Neuroscience and Neuropharmacology Research (19 papers), Functional Brain Connectivity Studies (16 papers), Epilepsy research and treatment (13 papers), Advanced MRI Techniques and Applications (8 papers) and Advanced Memory and Neural Computing (7 papers). The work is most often cited by research in Cognitive Neuroscience (3.2k citations), Sensory Systems (513 citations), Cellular and Molecular Neuroscience (1.6k citations), Psychiatry and Mental health (723 citations) and Neurology (337 citations). Daniel S. Barth has collaborated with scholars based in United States, Austria and China. Frequent co-authors include William W. Sutherling, Christoph Baumgartner, Michael S. Jones, S. Di, J. Thomas Beatty, Shi Di, Alexander M. Benison, Krista M. Rodgers, Jerome Engel and William R. Sukov. Their work appears in journals such as Journal of Neurophysiology, Brain Research, Journal of Neuroscience, Electroencephalography and Clinical Neurophysiology and Science.

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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