Urs Ribary
Impact in
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Sleep and Wakefulness Research
- Sensory Systems top 1%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- Functional Brain Connectivity Studies 31
- Neural dynamics and brain function 29
- EEG and Brain-Computer Interfaces 22
- Autism Spectrum Disorder Research 6
- Co-authors
- R. LlinásEugene KronbergRodolfó R. LlinásDaniel JeanmonodPartha P. MitraMarc JoliotRodolfo LlinásW. Lichtensteiger
- Journals
- NeuroImage (11 papers)Proceedings of the National Academy of Sciences (5 papers)Human Brain Mapping (4 papers)Scientific Reports (3 papers)Neurosurgery (3 papers)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Urs Ribary
84 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Cognitive Neuroscience 3.9k
- Sensory Systems 457
- Cellular and Molecular Neuroscience 1.5k
- Neurology 554
- Endocrine and Autonomic Systems 303
Countries citing papers authored by Urs Ribary
This map shows the geographic impact of Urs Ribary'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 Urs Ribary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urs Ribary more than expected).
Fields of papers citing papers by Urs Ribary
This network shows the impact of papers produced by Urs Ribary. 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 Urs Ribary. The network helps show where Urs Ribary may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Urs Ribary, 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 | 2024 | 0 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 11 | |
| 5 | 2019 | 1 | |
| 6 | 2019 | 8 | |
| 7 | 2018 | 7 | |
| 8 | 2017 | 12 | |
| 9 | 2015 | 3 | |
| 10 | 2015 | 7 | |
| 11 | 2015 | 4 | |
| 12 | 2014 | 26 | |
| 13 | 2013 | 168 | |
| 14 | 2010 | 123 | |
| 15 | 2009 | 23 | |
| 16 | 2005 | 83 | |
| 17 | 2003 | 46 | |
| 18 | 1997 | 68 | |
| 19 | 1996 | 227 | |
| 20 | 1988 | 26 |
About Urs Ribary
Urs Ribary is a scholar working on Cognitive Neuroscience, Endocrine and Autonomic Systems, Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience and Neurology, having authored 86 papers that have together received 6.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (31 papers), Neural dynamics and brain function (29 papers), EEG and Brain-Computer Interfaces (22 papers), Neonatal and fetal brain pathology (8 papers), Autism Spectrum Disorder Research (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Neurological disorders and treatments (5 papers) and Traumatic Brain Injury Research (4 papers). The work is most often cited by research in Cognitive Neuroscience (3.9k citations), Sensory Systems (457 citations), Cellular and Molecular Neuroscience (1.5k citations), Neurology (554 citations) and Endocrine and Autonomic Systems (303 citations). Urs Ribary has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include R. Llinás, Eugene Kronberg, Rodolfó R. Llinás, Daniel Jeanmonod, Partha P. Mitra, Marc Joliot, Rodolfo Llinás, W. Lichtensteiger, Alon Y. Mogilner and R. Llinás. Their work appears in journals such as NeuroImage, Proceedings of the National Academy of Sciences, Human Brain Mapping, Scientific Reports and Neurosurgery.
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.