Felix Darvas
Impact in
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neuroscience and Music Perception
- Biophysics top 5%
Papers in
-
- Neural dynamics and brain function 18
- EEG and Brain-Computer Interfaces 17
- Functional Brain Connectivity Studies 11
- Co-authors
- Richard M. LeahyJeffrey G. OjemannDimitrios PantazisL. B. SorensenHelmut BüchnerAbhijit J. ChaudhariRajesh P. N. RaoRené Gobbelé
- Journals
- NeuroImage (7 papers)Clinical Neurophysiology (3 papers)Frontiers in Human Neuroscience (3 papers)Journal of Neuroscience (2 papers)Physics in Medicine and Biology (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Felix Darvas
40 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 101
- Cognitive Neuroscience 1.1k
- Biophysics 102
- Cellular and Molecular Neuroscience 305
- Radiology, Nuclear Medicine and Imaging 383
- Signal Processing 121
Countries citing papers authored by Felix Darvas
This map shows the geographic impact of Felix Darvas'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 Felix Darvas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Darvas more than expected).
Fields of papers citing papers by Felix Darvas
This network shows the impact of papers produced by Felix Darvas. 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 Felix Darvas. The network helps show where Felix Darvas may publish in the future.
Co-authors
The 25 scholars most cited alongside Felix Darvas, 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 | 2016 | 14 | |
| 2 | 2016 | 6 | |
| 3 | 2015 | 15 | |
| 4 | 2015 | 33 | |
| 5 | 2015 | 7 | |
| 6 | 2014 | 25 | |
| 7 | 2014 | 24 | |
| 8 | 2013 | 13 | |
| 9 | 2013 | 10 | |
| 10 | 2011 | 40 | |
| 11 | 2011 | 56 | |
| 12 | 2009 | 39 | |
| 13 | 2007 | 11 | |
| 14 | 2006 | 32 | |
| 15 | 2005 | 58 | |
| 16 | 2005 | 204 | |
| 17 | 2005 | 38 | |
| 18 | 2002 | 45 | |
| 19 | 2001 | 27 | |
| 20 | 2001 | 25 |
About Felix Darvas
Felix Darvas is a scholar working on Cognitive Neuroscience, Biophysics, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), EEG and Brain-Computer Interfaces (17 papers), Functional Brain Connectivity Studies (11 papers), Neuroscience and Neural Engineering (6 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Optical Imaging and Spectroscopy Techniques (5 papers), Muscle activation and electromyography studies (3 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Biophysics (102 citations), Cellular and Molecular Neuroscience (305 citations), Radiology, Nuclear Medicine and Imaging (383 citations) and Signal Processing (121 citations). Felix Darvas has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Richard M. Leahy, Jeffrey G. Ojemann, Dimitrios Pantazis, L. B. Sorensen, Helmut Büchner, Abhijit J. Chaudhari, Rajesh P. N. Rao, René Gobbelé, Kai J. Miller and Rex Moats. Their work appears in journals such as NeuroImage, Clinical Neurophysiology, Frontiers in Human Neuroscience, Journal of Neuroscience and Physics in Medicine and Biology.
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.