Dean Cvetković
- Cognitive Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Biomedical Engineering
- Experimental and Cognitive Psychology top 10%
- Signal Processing top 10%
- Co-authors
- Irena ĆosićElif Derya ÜbeylïThomas PenzelAleksandar SubicNamunu C. MaddageMichal GrubergerTalma HendlerBeena Ahmed
- Topics
- EEG and Brain-Computer Interfaces (40 papers)Neural dynamics and brain function (15 papers)Heart Rate Variability and Autonomic Control (13 papers)
In The Last Decade
Dean Cvetković
54 papers receiving 636 citations
Peers
Comparison fields: 5 of 94
- Cognitive Neuroscience 374
- Cardiology and Cardiovascular Medicine 171
- Biomedical Engineering 133
- Experimental and Cognitive Psychology 98
- Signal Processing 96
Countries citing papers authored by Dean Cvetković
This map shows the geographic impact of Dean Cvetković'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 Dean Cvetković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dean Cvetković more than expected).
Fields of papers citing papers by Dean Cvetković
This network shows the impact of papers produced by Dean Cvetković. 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 Dean Cvetković. The network helps show where Dean Cvetković may publish in the future.
Co-authorship network of co-authors of Dean Cvetković
This figure shows the co-authorship network connecting the top 25 collaborators of Dean Cvetković. A scholar is included among the top collaborators of Dean Cvetković 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 Dean Cvetković. Dean Cvetković is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 30 | |
| 3 | 5 | |
| 4 | 24 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 46 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 23 | |
| 13 | 10 | |
| 14 | 15 | |
| 15 | 4 | |
| 16 | 7 | |
| 17 | 8 | |
| 18 | 17 | |
| 19 | Human electrophysiological signal responses to ELF Schumann Resonance and artificial electromagnetic fields | 7 |
| 20 | The induced rhythmic oscillations of neural activity in the human brain | 7 |
About Dean Cvetković
Dean Cvetković is a scholar working on Cognitive Neuroscience, Signal Processing and Cardiology and Cardiovascular Medicine, having authored 54 papers that have together received 666 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (40 papers), Neural dynamics and brain function (15 papers) and Heart Rate Variability and Autonomic Control (13 papers). The work is most often cited by research in Cognitive Neuroscience (374 citations), Biophysics (60 citations) and Signal Processing (96 citations). Dean Cvetković has collaborated with scholars based in Australia, Germany and Türkiye. Frequent co-authors include Irena Ćosić, Elif Derya Übeylï, Thomas Penzel, Aleksandar Subic, Namunu C. Maddage, Michal Gruberger, Talma Hendler, Beena Ahmed, Eti Ben Simon and Ilana Podlipsky. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and European Journal of 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.