Milena Čukić

519 total citations
29 papers, 310 citations indexed

About

Milena Čukić is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Milena Čukić has authored 29 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 10 papers in Cardiology and Cardiovascular Medicine and 5 papers in Biomedical Engineering. Recurrent topics in Milena Čukić's work include Heart Rate Variability and Autonomic Control (10 papers), EEG and Brain-Computer Interfaces (9 papers) and Functional Brain Connectivity Studies (8 papers). Milena Čukić is often cited by papers focused on Heart Rate Variability and Autonomic Control (10 papers), EEG and Brain-Computer Interfaces (9 papers) and Functional Brain Connectivity Studies (8 papers). Milena Čukić collaborates with scholars based in Serbia, Spain and Switzerland. Milena Čukić's co-authors include S Simić, Victoria López, Dragoljub Pokrajac, Danka Savić, Miloš Ljubisavljević, Juán Pavón, Julia Sidorova, Aleksandar Kalauzi, Humberto Millán and Riccardo Biondi and has published in prestigious journals such as Experimental Brain Research, Sensors and Frontiers in Psychology.

In The Last Decade

Milena Čukić

27 papers receiving 295 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Milena Čukić Serbia 10 167 96 57 34 32 29 310
Srdjan Kesić Serbia 7 161 1.0× 46 0.5× 24 0.4× 34 1.0× 33 1.0× 20 308
Leandro Rodrı́guez-Liñares Spain 8 83 0.5× 195 2.0× 58 1.0× 120 3.5× 11 0.3× 34 356
Accardo Agostino Italy 4 218 1.3× 78 0.8× 29 0.5× 34 1.0× 62 1.9× 6 360
Patrick A. Stokes United States 4 160 1.0× 24 0.3× 38 0.7× 11 0.3× 26 0.8× 5 253
Samantha Simons United Kingdom 5 216 1.3× 69 0.7× 14 0.2× 17 0.5× 18 0.6× 9 295
Barbora Czippelová Slovakia 15 117 0.7× 466 4.9× 51 0.9× 226 6.6× 50 1.6× 51 555
Laura Sparacino Italy 8 118 0.7× 47 0.5× 12 0.2× 28 0.8× 22 0.7× 27 215
Frigyes Sámuel Rácz Hungary 12 279 1.7× 63 0.7× 26 0.5× 21 0.6× 109 3.4× 28 384
Martín O. Méndez Mexico 13 254 1.5× 80 0.8× 62 1.1× 106 3.1× 17 0.5× 49 478
Yuri Antonacci Italy 13 289 1.7× 110 1.1× 36 0.6× 48 1.4× 44 1.4× 48 473

Countries citing papers authored by Milena Čukić

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Galović, Slobodanka, et al.. (2025). Inertial Memory Effects in Molecular Transport Across Nanoporous Membranes. Membranes. 15(1). 11–11. 1 indexed citations
2.
Čukić, Milena, Simon Annaheim, Patrick Eggenberger, & René M. Rossi. (2024). An Early Dementia Risk Screening Approach for healthy aging citizens. DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)). 417–423.
3.
4.
Olejarczyk, Elżbieta, Milena Čukić, Camillo Porcaro, Filippo Zappasodi, & Franca Tecchio. (2024). Clinical Sensitivity of Fractal Neurodynamics. Advances in neurobiology. 36. 285–312. 1 indexed citations
5.
Bahrami, Flora, René M. Rossi, Katelijne De Nys, et al.. (2024). Implementing physics-based digital patient twins to tailor the switch of oral morphine to transdermal fentanyl patches based on patient physiology. European Journal of Pharmaceutical Sciences. 195. 106727–106727. 4 indexed citations
6.
Čukić, Milena, et al.. (2024). Fractal Analysis of Electrophysiological Signals to Detect and Monitor Depression: What We Know So Far?. Advances in neurobiology. 36. 677–692. 1 indexed citations
7.
Čukić, Milena, Chiara Romano, Francesca De Tommasi, et al.. (2023). Linear and Non-Linear Heart Rate Variability Indexes from Heart-Induced Mechanical Signals Recorded with a Skin-Interfaced IMU. Sensors. 23(3). 1615–1615. 17 indexed citations
8.
Čukić, Milena & Slobodanka Galović. (2023). Mathematical modeling of anomalous diffusive behavior in transdermal drug-delivery including time-delayed flux concept. Chaos Solitons & Fractals. 172. 113584–113584. 8 indexed citations
9.
Čukić, Milena, Danka Savić, & Julia Sidorova. (2022). When Heart Beats Differently in Depression: Review of Nonlinear Heart Rate Variability Measures. JMIR Mental Health. 10. e40342–e40342. 8 indexed citations
10.
Čukić, Milena, Danka Savić, & Julia Sidorova. (2022). When heart beats differently in depression: a review of nonlinear HRV measures (Preprint). 1 indexed citations
11.
López, Victoria, et al.. (2022). The Proposition for Bipolar Depression Forecasting Based on Wearable Data Collection. Frontiers in Physiology. 12. 777137–777137. 4 indexed citations
12.
Čukić, Milena & Victoria López. (2022). Progress in Objective Detection of Depression and Online Monitoring of Patients Based on Physiological Complexity. Frontiers in Psychiatry. 13. 828773–828773.
13.
Čukić, Milena, Victoria López, & Juán Pavón. (2020). Classification of Depression Through Resting-State Electroencephalogram as a Novel Practice in Psychiatry: Review. Journal of Medical Internet Research. 22(11). e19548–e19548. 30 indexed citations
14.
Sidorova, Julia, Pablo Carbonell, & Milena Čukić. (2020). Blood Glucose Estimation From Voice: First Review of Successes and Challenges. Journal of Voice. 36(5). 737.e1–737.e10. 13 indexed citations
15.
López, Victoria & Milena Čukić. (2020). A dynamical model of SARS-CoV-2 based on people flow networks. Safety Science. 134. 105034–105034. 11 indexed citations
16.
Čukić, Milena. (2020). The Reason Why rTMS and tDCS Are Efficient in Treatments of Depression. Frontiers in Psychology. 10. 2923–2923. 8 indexed citations
17.
Čukić, Milena, et al.. (2020). The successful discrimination of depression from EEG could be attributed to proper feature extraction and not to a particular classification method. Cognitive Neurodynamics. 14(4). 443–455. 72 indexed citations
18.
Čukić, Milena, et al.. (2019). Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression. International Journal of Methods in Psychiatric Research. 29(2). e1816–e1816. 50 indexed citations
19.
Čukić, Milena, et al.. (2019). Machine Learning Approaches for Detecting the Depression from Resting-State Electroencephalogram (EEG): A Review Study. arXiv (Cornell University). 4 indexed citations
20.
Milovanović, Dragan, et al.. (2015). Memory load effect in auditory–verbal short-term memory task: EEG fractal and spectral analysis. Experimental Brain Research. 233(10). 3023–3038. 18 indexed citations

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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