Jonathan Dan
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Psychiatry and Mental health top 10%
- Epilepsy research and treatment
Papers in
-
- EEG and Brain-Computer Interfaces 14
- Functional Brain Connectivity Studies 2
- Neural dynamics and brain function 2
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- Epilepsy research and treatment 8
- Co-authors
- Wim Van Paesschen (5 shared papers)Sabine Van Huffel (3 shared papers)Borbála Hunyadi (2 shared papers)Evy Cleeren (2 shared papers)Kasper Claes (1 shared paper)Ying Gu (1 shared paper)Kaat Vandecasteele (2 shared papers)Alexander Bertrand (4 shared papers)
- Journals
- Epilepsia (3 papers)NeuroImage (2 papers)Signal Processing (1 paper)Current Opinion in Neurology (1 paper)Journal of Neural Engineering (1 paper)
- Partner nations
- BelgiumSwitzerlandUnited States
In The Last Decade
Jonathan Dan
15 papers receiving 274 citations
Peers
Comparison fields: 5 of 50
- Cognitive Neuroscience 236
- Psychiatry and Mental health 107
- Signal Processing 47
- Health Informatics 5
- Computational Mathematics 2
Countries citing papers authored by Jonathan Dan
This map shows the geographic impact of Jonathan Dan'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 Dan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Dan more than expected).
Fields of papers citing papers by Jonathan Dan
This network shows the impact of papers produced by Jonathan Dan. 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 Dan. The network helps show where Jonathan Dan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Dan, 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 | 2017 | 106 | |
| 2 | 2020 | 67 | |
| 3 | 2020 | 27 | |
| 4 | 2020 | 22 | |
| 5 | 2024 | 18 | |
| 6 | 2022 | 7 | |
| 7 | 2016 | 6 | |
| 8 | 2018 | 5 | |
| 9 | 2022 | 4 | |
| 10 | 2025 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Jonathan Dan
Jonathan Dan is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Computer Networks and Communications and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 279 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Epilepsy research and treatment (8 papers), Neuroscience and Neural Engineering (3 papers), Neonatal and fetal brain pathology (2 papers), Infant Health and Development (2 papers), Blind Source Separation Techniques (2 papers), Functional Brain Connectivity Studies (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Cognitive Neuroscience (236 citations), Psychiatry and Mental health (107 citations), Signal Processing (47 citations), Health Informatics (5 citations) and Computational Mathematics (2 citations). Jonathan Dan has collaborated with scholars based in Belgium, Switzerland and United States. Frequent co-authors include Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi, Evy Cleeren, Kasper Claes, Ying Gu, Kaat Vandecasteele, Alexander Bertrand, Thomas De Cooman and Benjamin Vandendriessche. Their work appears in journals such as Epilepsia, NeuroImage, Signal Processing, Current Opinion in Neurology and Journal of Neural Engineering.
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.