Milena Čukić
- Cognitive Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Experimental and Cognitive Psychology
- Biomedical Engineering
- Economics and Econometrics
- Co-authors
- S SimićVictoria LópezDragoljub PokrajacDanka SavićMiloš LjubisavljevićJuán PavónJulia SidorovaAleksandar Kalauzi
- Topics
- Heart Rate Variability and Autonomic Control (10 papers)EEG and Brain-Computer Interfaces (9 papers)Functional Brain Connectivity Studies (8 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyCardiology and Cardiovascular Medicine
- Partner nations
- SerbiaSpainSwitzerland
In The Last Decade
Milena Čukić
27 papers receiving 295 citations
Peers
Comparison fields: 5 of 80
- Cognitive Neuroscience 167
- Cardiology and Cardiovascular Medicine 96
- Experimental and Cognitive Psychology 57
- Biomedical Engineering 34
- Economics and Econometrics 32
Countries citing papers authored by Milena Čukić
This map shows the geographic impact of Milena Čukić'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 Milena Čukić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milena Čukić more than expected).
Fields of papers citing papers by Milena Čukić
This network shows the impact of papers produced by Milena Čukić. 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 Milena Čukić. The network helps show where Milena Čukić may publish in the future.
Co-authorship network of co-authors of Milena Čukić
This figure shows the co-authorship network connecting the top 25 collaborators of Milena Čukić. A scholar is included among the top collaborators of Milena Čukić 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 Milena Čukić. Milena Čukić 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 30 | |
| 14 | 13 | |
| 15 | 11 | |
| 16 | 8 | |
| 17 | 72 | |
| 18 | 50 | |
| 19 | 4 | |
| 20 | 18 |
About Milena Čukić
Milena Čukić is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Modeling and Simulation, having authored 29 papers that have together received 310 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (10 papers), EEG and Brain-Computer Interfaces (9 papers) and Functional Brain Connectivity Studies (8 papers). The work is most often cited by research in Cognitive Neuroscience (167 citations), Experimental and Cognitive Psychology (57 citations) and Cardiology and Cardiovascular Medicine (96 citations). Milena Čukić has collaborated with scholars based in Serbia, Spain and Switzerland. Frequent co-authors include S Simić, Victoria López, Dragoljub Pokrajac, Danka Savić, Miloš Ljubisavljević, Juán Pavón, Julia Sidorova, Aleksandar Kalauzi, Humberto Millán and Riccardo Biondi. Their work appears in journals such as Experimental Brain Research, Sensors and Frontiers in Psychology.
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.