Péter Barthó
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function 27
- Memory and Neural Mechanisms 6
- Sleep and Wakefulness Research 4
- EEG and Brain-Computer Interfaces 2
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 18
- Photoreceptor and optogenetics research 14
- Neuroscience and Neural Engineering 12
- Neurology top 5%
- Sensory Systems top 2%
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- stochastic dynamics and bifurcation 3
- Co-authors
- Kenneth D. HarrisGyörgy BuzsákiArtur LuczakHajime HiraseJaime de la RochaAlfonso RenartTamás F. FreundAlex D. Reyes
- Journals
- European Journal of Neuroscience (4 papers)Scientific Reports (3 papers)Journal of Neuroscience (3 papers)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
Péter Barthó
32 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cognitive Neuroscience 3.6k
- Cellular and Molecular Neuroscience 3.1k
- Neurology 283
- Sensory Systems 159
- Statistical and Nonlinear Physics 376
Countries citing papers authored by Péter Barthó
This map shows the geographic impact of Péter Barthó'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 Péter Barthó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Barthó more than expected).
Fields of papers citing papers by Péter Barthó
This network shows the impact of papers produced by Péter Barthó. 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 Péter Barthó. The network helps show where Péter Barthó may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Péter Barthó, 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 | 2023 | 15 | |
| 2 | 2022 | 13 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 39 | |
| 7 | 2018 | 55 | |
| 8 | 2017 | 23 | |
| 9 | 2017 | 31 | |
| 10 | 2015 | 267 | |
| 11 | 2014 | 95 | |
| 12 | 2014 | 41 | |
| 13 | 2013 | 67 | |
| 14 | 2013 | 108 | |
| 15 | 2012 | 34 | |
| 16 | 2010 | 45 | |
| 17 | 2009 | 30 | |
| 18 | 2007 | 53 | |
| 19 | Characterization of Neocortical Principal Cells and Interneurons by Network Interactions and Extracellular Featuresbreakdown → | 2004 | 615 |
| 20 | 2004 | 44 |
About Péter Barthó
Péter Barthó is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Statistical and Nonlinear Physics, having authored 33 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (27 papers), Neuroscience and Neuropharmacology Research (18 papers), Photoreceptor and optogenetics research (14 papers), Neuroscience and Neural Engineering (12 papers), Memory and Neural Mechanisms (6 papers), Sleep and Wakefulness Research (4 papers), stochastic dynamics and bifurcation (3 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Cognitive Neuroscience (3.6k citations), Cellular and Molecular Neuroscience (3.1k citations) and Neurology (283 citations). Péter Barthó has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Kenneth D. Harris, György Buzsáki, Artur Luczak, Hajime Hirase, Jaime de la Rocha, Alfonso Renart, Tamás F. Freund, Alex D. Reyes, Néstor Parga and Michaël Zugaro. Their work appears in journals such as European Journal of Neuroscience, Scientific Reports, Journal of Neuroscience, Neuron 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.