George Karmos
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Experimental and Cognitive Psychology top 1%
- Sensory Systems top 2%
- Social Psychology top 10%
- Co-authors
- István UlbertPéter LakatosCharles M. SchroederAshesh D. MehtaAnkoor S. ShahKevin H. KnuthIstván WinklerRisto Näätänen
- Topics
- Neural dynamics and brain function (15 papers)EEG and Brain-Computer Interfaces (7 papers)Neuroscience and Music Perception (6 papers)
- Partner nations
- HungaryUnited StatesFrance
In The Last Decade
George Karmos
22 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 3.3k
- Cellular and Molecular Neuroscience 853
- Experimental and Cognitive Psychology 767
- Sensory Systems 242
- Social Psychology 160
Countries citing papers authored by George Karmos
This map shows the geographic impact of George Karmos'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 George Karmos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Karmos more than expected).
Fields of papers citing papers by George Karmos
This network shows the impact of papers produced by George Karmos. 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 George Karmos. The network helps show where George Karmos may publish in the future.
Co-authorship network of co-authors of George Karmos
This figure shows the co-authorship network connecting the top 25 collaborators of George Karmos. A scholar is included among the top collaborators of George Karmos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with George Karmos. George Karmos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 272 | |
| 2 | 73 | |
| 3 | 117 | |
| 4 | 69 | |
| 5 | An Oscillatory Hierarchy Controlling Neuronal Excitability and Stimulus Processing in the Auditory Cortexbreakdown → | 882 |
| 6 | 75 | |
| 7 | 11 | |
| 8 | 46 | |
| 9 | 133 | |
| 10 | 2 | |
| 11 | 80 | |
| 12 | 35 | |
| 13 | 167 | |
| 14 | 27 | |
| 15 | 25 | |
| 16 | 276 | |
| 17 | 0 | |
| 18 | 6 | |
| 19 | 14 | |
| 20 | 18 |
About George Karmos
George Karmos is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Music, having authored 23 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), EEG and Brain-Computer Interfaces (7 papers) and Neuroscience and Music Perception (6 papers). The work is most often cited by research in Cognitive Neuroscience (3.3k citations), Experimental and Cognitive Psychology (767 citations) and Sensory Systems (242 citations). George Karmos has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include István Ulbert, Péter Lakatos, Charles M. Schroeder, Ashesh D. Mehta, Ankoor S. Shah, Kevin H. Knuth, István Winkler, Risto Näätänen, Eric Halgren and Gary Heit. Their work appears in journals such as Science, The Journal of Comparative Neurology 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.