Torben Noto
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
- Sleep and Wakefulness Research
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
Papers in
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- Olfactory and Sensory Function Studies 6
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- Advanced Chemical Sensor Technologies 5
- Co-authors
- Richard Gao (1 shared paper)Avgusta Y. Shestyuk (1 shared paper)Bradley Voytek (1 shared paper)Erik Peterson (1 shared paper)Robert T. Knight (1 shared paper)Paroma Varma (1 shared paper)Joni D. Wallis (1 shared paper)Antonio H. Lara (1 shared paper)
- Journals
- PLoS Biology (2 papers)Experimental Neurology (1 paper)Chemical Senses (1 paper)Nature Communications (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Torben Noto
9 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 963
- Sensory Systems 140
- Cellular and Molecular Neuroscience 324
- Experimental and Cognitive Psychology 93
- Neurology 56
Countries citing papers authored by Torben Noto
This map shows the geographic impact of Torben Noto'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 Torben Noto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torben Noto more than expected).
Fields of papers citing papers by Torben Noto
This network shows the impact of papers produced by Torben Noto. 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 Torben Noto. The network helps show where Torben Noto may publish in the future.
Co-authors
The 24 scholars most cited alongside Torben Noto, 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 | Parameterizing neural power spectra into periodic and aperiodic components Hit paper breakdown → | 2020 | 1047 |
| 2 | 2018 | 62 | |
| 3 | 2019 | 49 | |
| 4 | 2020 | 31 | |
| 5 | 2022 | 28 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 16 | |
| 8 | 2020 | 8 | |
| 9 | 2017 | 4 |
About Torben Noto
Torben Noto is a scholar working on Sensory Systems, Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Nutrition and Dietetics, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (6 papers), Advanced Chemical Sensor Technologies (5 papers), Neural dynamics and brain function (3 papers), Neurobiology and Insect Physiology Research (3 papers), Memory and Neural Mechanisms (2 papers), EEG and Brain-Computer Interfaces (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Heart Rate Variability and Autonomic Control (1 paper). The work is most often cited by research in Cognitive Neuroscience (963 citations), Sensory Systems (140 citations), Cellular and Molecular Neuroscience (324 citations), Experimental and Cognitive Psychology (93 citations) and Neurology (56 citations). Torben Noto has collaborated with scholars based in United States and Sweden. Frequent co-authors include Richard Gao, Avgusta Y. Shestyuk, Bradley Voytek, Erik Peterson, Robert T. Knight, Paroma Varma, Joni D. Wallis, Antonio H. Lara, Thomas Donoghue and Guangyu Zhou. Their work appears in journals such as PLoS Biology, Experimental Neurology, Chemical Senses, Nature Communications and Nature Neuroscience.
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.