Daniel Birman
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Free Will and Agency
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Neural dynamics and brain function 5
- Visual perception and processing mechanisms 3
- EEG and Brain-Computer Interfaces 2
- Neural and Behavioral Psychology Studies 2
- Face Recognition and Perception 1
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- Neurobiology and Insect Physiology Research 1
- Co-authors
- Oscar Estéban (1 shared paper)Marie Schaer (1 shared paper)Oluwasanmi Koyejo (1 shared paper)Krzysztof J. Gorgolewski (1 shared paper)Russell A. Poldrack (1 shared paper)Sven Dähne (1 shared paper)John–Dylan Haynes (2 shared papers)Benjamin Blankertz (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)PLoS ONE (1 paper)eLife (1 paper)Journal of Neurophysiology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Daniel Birman
6 papers receiving 691 citations
Daniel Birman's Hit Papers
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 445
- Radiology, Nuclear Medicine and Imaging 184
- Psychiatry and Mental health 63
- Experimental and Cognitive Psychology 53
- Neurology 24
Countries citing papers authored by Daniel Birman
This map shows the geographic impact of Daniel Birman'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 Birman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Birman more than expected).
Fields of papers citing papers by Daniel Birman
This network shows the impact of papers produced by Daniel Birman. 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 Birman. The network helps show where Daniel Birman may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniel Birman, 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 | MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites Hit paper breakdown → | 2017 | 543 |
| 2 | 2015 | 134 | |
| 3 | 2019 | 16 | |
| 4 | 2018 | 6 | |
| 5 | 2023 | 6 | |
| 6 | 2017 | 3 | |
| 7 | 2025 | 0 |
About Daniel Birman
Daniel Birman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 708 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (3 papers), EEG and Brain-Computer Interfaces (2 papers), Neural and Behavioral Psychology Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Face Recognition and Perception (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (445 citations), Radiology, Nuclear Medicine and Imaging (184 citations), Psychiatry and Mental health (63 citations), Experimental and Cognitive Psychology (53 citations) and Neurology (24 citations). Daniel Birman has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Oscar Estéban, Marie Schaer, Oluwasanmi Koyejo, Krzysztof J. Gorgolewski, Russell A. Poldrack, Sven Dähne, John–Dylan Haynes, Benjamin Blankertz, Kai Görgen and Carsten Allefeld. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, PLoS ONE, eLife and Journal of Neurophysiology.
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.