Daniel Toker
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Memory and Neural Mechanisms
- Memory Processes and Influences
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- Chaos control and synchronization
Papers in
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- Neural dynamics and brain function 9
- Functional Brain Connectivity Studies 7
- EEG and Brain-Computer Interfaces 3
- Neuroscience and Music Perception 2
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- Complex Systems and Time Series Analysis 4
- Co-authors
- Friedrich T. Sommer (5 shared papers)Martin M. Monti (9 shared papers)Mark D’Esposito (3 shared papers)Joel Frohlich (3 shared papers)Michael Shvartsman (1 shared paper)Jordan Poppenk (1 shared paper)Kenneth A. Norman (1 shared paper)Janice Chen (1 shared paper)
- Journals
- Neurocritical Care (2 papers)eLife (2 papers)Communications Biology (2 papers)Brain (1 paper)Frontiers in Human Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniel Toker
15 papers receiving 571 citations
Peers
Comparison fields: 5 of 109
- Cognitive Neuroscience 270
- Statistical and Nonlinear Physics 56
- Cellular and Molecular Neuroscience 59
- Sensory Systems 15
- Experimental and Cognitive Psychology 34
Countries citing papers authored by Daniel Toker
This map shows the geographic impact of Daniel Toker'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 Daniel Toker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Toker more than expected).
Fields of papers citing papers by Daniel Toker
This network shows the impact of papers produced by Daniel Toker. 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 Daniel Toker. The network helps show where Daniel Toker may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Toker, 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 | 2020 | 123 | |
| 2 | 2021 | 115 | |
| 3 | 2022 | 80 | |
| 4 | 2016 | 76 | |
| 5 | 2019 | 61 | |
| 6 | 2019 | 39 | |
| 7 | 2021 | 39 | |
| 8 | 2022 | 16 | |
| 9 | 2015 | 16 | |
| 10 | 2023 | 12 | |
| 11 | 2025 | 4 | |
| 12 | The Chaos Decision Tree Algorithm: A Fully Automated Tool for the Experimental Study of Chaotic Dynamics | 2019 | 2 |
| 13 | Great Than The Sum: Integrated Information In Large Brain Networks | 2017 | 2 |
| 14 | 2025 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Daniel Toker
Daniel Toker is a scholar working on Cognitive Neuroscience, Economics and Econometrics, Molecular Biology, Social Psychology and Epidemiology, having authored 17 papers that have together received 587 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Functional Brain Connectivity Studies (7 papers), Complex Systems and Time Series Analysis (4 papers), EEG and Brain-Computer Interfaces (3 papers), Fractal and DNA sequence analysis (2 papers), Traumatic Brain Injury Research (2 papers), Neuroscience and Music Perception (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Cognitive Neuroscience (270 citations), Statistical and Nonlinear Physics (56 citations), Cellular and Molecular Neuroscience (59 citations), Sensory Systems (15 citations) and Experimental and Cognitive Psychology (34 citations). Daniel Toker has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Friedrich T. Sommer, Martin M. Monti, Mark D’Esposito, Joel Frohlich, Michael Shvartsman, Jordan Poppenk, Kenneth A. Norman, Janice Chen, Uri Hasson and Lance Porter. Their work appears in journals such as Neurocritical Care, eLife, Communications Biology, Brain and Frontiers in Human 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.