Jonathan Nicholas
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
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- Mental Health Research Topics
Papers in
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- Neural and Behavioral Psychology Studies 3
- Memory and Neural Mechanisms 2
- Functional Brain Connectivity Studies 2
- Neural dynamics and brain function 2
- EEG and Brain-Computer Interfaces 1
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- Behavioral and Psychological Studies 2
- Co-authors
- Vinod Menon (4 shared papers)Weidong Cai (2 shared papers)Srikanth Ryali (2 shared papers)Tianwen Chen (2 shared papers)John Kochalka (2 shared papers)Jalil Taghia (1 shared paper)Aarthi Padmanabhan (2 shared papers)Kaustubh Supekar (1 shared paper)
- Journals
- Nature Communications (2 papers)eLife (1 paper)Developmental Cognitive Neuroscience (1 paper)PLoS Computational Biology (1 paper)The Cerebellum (1 paper)
- Partner nations
- United StatesFranceTaiwan
In The Last Decade
Jonathan Nicholas
7 papers receiving 219 citations
Peers
Comparison fields: 5 of 54
- Cognitive Neuroscience 192
- Experimental and Cognitive Psychology 43
- General Decision Sciences 3
- Statistics and Probability 12
- Neurology 12
Countries citing papers authored by Jonathan Nicholas
This map shows the geographic impact of Jonathan Nicholas'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 Jonathan Nicholas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Nicholas more than expected).
Fields of papers citing papers by Jonathan Nicholas
This network shows the impact of papers produced by Jonathan Nicholas. 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 Jonathan Nicholas. The network helps show where Jonathan Nicholas may publish in the future.
Co-authors
The 20 scholars most cited alongside Jonathan Nicholas, 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 | 2018 | 118 | |
| 2 | 2016 | 58 | |
| 3 | 2020 | 18 | |
| 4 | 2022 | 13 | |
| 5 | 2021 | 8 | |
| 6 | 2023 | 7 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 0 |
About Jonathan Nicholas
Jonathan Nicholas is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Statistics and Probability, Cellular and Molecular Neuroscience and Neurology, having authored 8 papers that have together received 223 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (3 papers), Behavioral and Psychological Studies (2 papers), Memory and Neural Mechanisms (2 papers), Cognitive and developmental aspects of mathematical skills (2 papers), Functional Brain Connectivity Studies (2 papers), Neural dynamics and brain function (2 papers), Mental Health Research Topics (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Cognitive Neuroscience (192 citations), Experimental and Cognitive Psychology (43 citations), General Decision Sciences (3 citations), Statistics and Probability (12 citations) and Neurology (12 citations). Jonathan Nicholas has collaborated with scholars based in United States, France and Taiwan. Frequent co-authors include Vinod Menon, Weidong Cai, Srikanth Ryali, Tianwen Chen, John Kochalka, Jalil Taghia, Aarthi Padmanabhan, Kaustubh Supekar, Daphna Shohamy and Nathaniel D. Daw. Their work appears in journals such as Nature Communications, eLife, Developmental Cognitive Neuroscience, PLoS Computational Biology and The Cerebellum.
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.