Danny Eytan
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 2%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Shimon MaromNaama BrennerA. GalAvner WallachMjaye MazwiPeter C. LaussenAndrew GoodwinSebastian D. Goodfellow
- Topics
- Neural dynamics and brain function (10 papers)Non-Invasive Vital Sign Monitoring (9 papers)ECG Monitoring and Analysis (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- IsraelCanadaUnited States
In The Last Decade
Danny Eytan
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 122
- Cognitive Neuroscience 745
- Cellular and Molecular Neuroscience 649
- Electrical and Electronic Engineering 213
- Biomedical Engineering 153
- Cardiology and Cardiovascular Medicine 145
Countries citing papers authored by Danny Eytan
This map shows the geographic impact of Danny Eytan'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 Danny Eytan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Eytan more than expected).
Fields of papers citing papers by Danny Eytan
This network shows the impact of papers produced by Danny Eytan. 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 Danny Eytan. The network helps show where Danny Eytan may publish in the future.
Co-authorship network of co-authors of Danny Eytan
This figure shows the co-authorship network connecting the top 25 collaborators of Danny Eytan. A scholar is included among the top collaborators of Danny Eytan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danny Eytan. Danny Eytan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 30 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 24 | |
| 10 | 48 | |
| 11 | 16 | |
| 12 | 5 | |
| 13 | Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings | 31 |
| 14 | Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU | 15 |
| 15 | 6 | |
| 16 | 29 | |
| 17 | 27 | |
| 18 | 300 | |
| 19 | 51 | |
| 20 | 36 |
About Danny Eytan
Danny Eytan is a scholar working on Health Informatics, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Non-Invasive Vital Sign Monitoring (9 papers) and ECG Monitoring and Analysis (8 papers). The work is most often cited by research in Cognitive Neuroscience (745 citations), Cellular and Molecular Neuroscience (649 citations) and Health Informatics (36 citations). Danny Eytan has collaborated with scholars based in Israel, Canada and United States. Frequent co-authors include Shimon Marom, Naama Brenner, A. Gal, Avner Wallach, Mjaye Mazwi, Peter C. Laussen, Andrew Goodwin, Sebastian D. Goodfellow, Robert Greer and Christoph Zrenner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.