Jonathan Dan

465 citations
22 papers · 343 · h-index 7

Impact in

Papers in

Jonathan Dan

20 papers receiving 334 citations

Peers

Jonathan Dan
Comparison fields: 5 of 59
  • Cognitive Neuroscience 261
  • Psychiatry and Mental health 91
  • Health Informatics 6
  • Signal Processing 45
  • Computational Mathematics 2
Replace Isabell Kiral-Kornek with:
Isabell Kiral-Kornek Australia
Daniel E. Payne Australia
Claire Ufongene United States
Paulo Afonso Medeiros Kanda Brazil
Yoon Gi Chung South Korea
Rima El Atrache United States
Lucas Remoaldo Trambaiolli Brazil
Alexandra-Maria Tăuţan Romania
Sahbi Chaibi Tunisia
Urszula Malinowska Poland
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Dan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jonathan Dan Line = papers co-authored together Jonathan Dan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017116
2 202075
3 202032
4 202026
5 202422
6 201612
7 20248
8 20227
9 20227
10 20246
11 20185
12 20255
13 20245
14 20234
15 20203
16 20243
17 20252
18 20232
19 20251
20 20251

About Jonathan Dan

Jonathan Dan is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Pharmacy, Cellular and Molecular Neuroscience and Signal Processing, having authored 22 papers that have together received 343 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Epilepsy research and treatment (6 papers), Neuroscience and Neural Engineering (3 papers), Respiratory and Cough-Related Research (2 papers), Infant Health and Development (2 papers), Blind Source Separation Techniques (2 papers), Neural dynamics and brain function (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (261 citations), Psychiatry and Mental health (91 citations), Health Informatics (6 citations), Signal Processing (45 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, Evy Cleeren, Borbála Hunyadi, Ying Gu, Kasper Claes, Kaat Vandecasteele, Alexander Bertrand, Thomas De Cooman and Benjamin Vandendriessche. Their work appears in journals such as Epilepsia, Developmental Medicine & Child Neurology, NeuroImage, Current Opinion in Neurology and Sensors.

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.

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