Emina Aličković

2.2k total citations · 1 hit paper
38 papers, 1.4k citations indexed

About

Emina Aličković is a scholar working on Cognitive Neuroscience, Signal Processing and Speech and Hearing. According to data from OpenAlex, Emina Aličković has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 19 papers in Signal Processing and 6 papers in Speech and Hearing. Recurrent topics in Emina Aličković's work include EEG and Brain-Computer Interfaces (21 papers), Hearing Loss and Rehabilitation (17 papers) and Blind Source Separation Techniques (15 papers). Emina Aličković is often cited by papers focused on EEG and Brain-Computer Interfaces (21 papers), Hearing Loss and Rehabilitation (17 papers) and Blind Source Separation Techniques (15 papers). Emina Aličković collaborates with scholars based in Sweden, Denmark and Saudi Arabia. Emina Aličković's co-authors include Abdülhamit Subaşı, Jasmin Kevrić, Thomas Lunner, Carina Graversen, Dorothea Wendt, Lorenz Fiedler, Fredrik Gustafsson, Tirdad Seifi, Lennart Ljung and Elaine Hoi Ning Ng and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and European Journal of Neuroscience.

In The Last Decade

Emina Aličković

36 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction

2017 313 citations Emina Aličković, Abdülhamit Subaşı et al. profile →

Peers

Emina Aličković

CN

SP

AI

CCM

BE

Luay Fraiwan Jordan

Rajamanickam Yuvaraj Singapore

Nadia Mammone Italy

Cosimo Ieracitano Italy

Musa Peker Türkiye

Kuang Chua Chua Singapore

Shreya Bhat India

Baha Şen Türkiye

Smith K. Khare India

César Teixeira Portugal

Luay Fraiwan Jordan

Emina Aličković

567 ×0.7

CN

335 ×1.0

SP

133 ×0.5

AI

206 ×0.8

CCM

291 ×2.1

BE

Citations per year, relative to Emina Aličković Emina Aličković (= 1×) peers Luay Fraiwan

Countries citing papers authored by Emina Aličković

Since Specialization

Citations

This map shows the geographic impact of Emina Aličković'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 Emina Aličković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emina Aličković more than expected).

Fields of papers citing papers by Emina Aličković

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emina Aličković. 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 Emina Aličković. The network helps show where Emina Aličković may publish in the future.

Co-authorship network of co-authors of Emina Aličković

This figure shows the co-authorship network connecting the top 25 collaborators of Emina Aličković. A scholar is included among the top collaborators of Emina Aličković 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 Emina Aličković. Emina Aličković is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Zaar, Johannes, et al.. (2025). The speech reception threshold can be estimated using EEG electrodes in and around the ear. Journal of Neural Engineering. 22(5). 56008–56008.

2.

Aličković, Emina, et al.. (2025). Improving Tracking of Selective Attention in Hearing Aid Users: The Role of Noise Reduction and Nonlinearity Compensation. eNeuro. 12(2). ENEURO.0275–24.2025. 2 indexed citations

3.

Zaar, Johannes, et al.. (2025). Speech Reception Threshold Estimation via EEG‐Based Continuous Speech Envelope Reconstruction. European Journal of Neuroscience. 61(6). e70083–e70083. 1 indexed citations

4.

Skoglund, Martin A., et al.. (2025). Improving auditory attention decoding in noisy environments for listeners with hearing impairment through contrastive learning. Journal of Neural Engineering. 22(3). 36041–36041.

5.

Kulasingham, Joshua P., et al.. (2024). Extending Subcortical EEG Responses to Continuous Speech to the Sound-Field. Trends in Hearing. 28. 1881559940–1881559940. 4 indexed citations

6.

Kulasingham, Joshua P., Hamish Innes-Brown, Martin Enqvist, & Emina Aličković. (2024). Level-Dependent Subcortical Electroencephalography Responses to Continuous Speech. eNeuro. 11(8). ENEURO.0135–24.2024. 3 indexed citations

7.

Carta, Sara, et al.. (2024). Cortical encoding of phonetic onsets of both attended and ignored speech in hearing impaired individuals. PLoS ONE. 19(11). e0308554–e0308554. 3 indexed citations

8.

Aličković, Emina, et al.. (2024). Nonlinearity Detection and Compensation for EEG-Based Speech Tracking. 1811–1815. 2 indexed citations

9.

Skoglund, Martin A., et al.. (2024). Effect of Independent Component Artifact Rejection on EEG-Based Auditory Attention Decoding. Lund University Publications (Lund University). 877–881. 1 indexed citations

10.

Skoglund, Martin A., et al.. (2024). Deep learning-based auditory attention decoding in listeners with hearing impairment ^*. Journal of Neural Engineering. 21(3). 36022–36022. 6 indexed citations

11.

Aličković, Emina, et al.. (2024). Novel bias-reduced coherence measure for EEG-based speech tracking in listeners with hearing impairment. Frontiers in Neuroscience. 18. 1415397–1415397. 1 indexed citations

12.

Kulasingham, Joshua P., et al.. (2023). Direct Estimation of Linear Filters for EEG Source-Localization in a Competing-Talker Scenario. IFAC-PapersOnLine. 56(2). 6510–6517. 2 indexed citations

13.

Aličković, Emina, et al.. (2023). Coherence Estimation Tracks Auditory Attention in Listeners with Hearing Impairment. Lund University Publications (Lund University). 5162–5166. 2 indexed citations

14.

Bernhardsson, Bo, et al.. (2023). Improving EEG-based decoding of the locus of auditory attention through domain adaptation ^*. Journal of Neural Engineering. 20(6). 66022–66022. 8 indexed citations

15.

Graversen, Carina, et al.. (2022). Speech to noise ratio improvement induces nonlinear parietal phase synchrony in hearing aid users. Frontiers in Neuroscience. 16. 932959–932959. 4 indexed citations

16.

Aličković, Emina, Elaine Hoi Ning Ng, Lorenz Fiedler, et al.. (2021). Effects of Hearing Aid Noise Reduction on Early and Late Cortical Representations of Competing Talkers in Noise. Frontiers in Neuroscience. 15. 636060–636060. 21 indexed citations

17.

Seifi, Tirdad, Carina Graversen, Dorothea Wendt, et al.. (2020). An exploratory Study of EEG Alpha Oscillation and Pupil Dilation in Hearing-Aid Users During Effortful listening to Continuous Speech. PLoS ONE. 15(7). e0235782–e0235782. 41 indexed citations

18.

Aličković, Emina, Thomas Lunner, Dorothea Wendt, et al.. (2020). Neural Representation Enhanced for Speech and Reduced for Background Noise With a Hearing Aid Noise Reduction Scheme During a Selective Attention Task. Frontiers in Neuroscience. 14. 846–846. 24 indexed citations

19.

Aličković, Emina, Thomas Lunner, Fredrik Gustafsson, & Lennart Ljung. (2019). A Tutorial on Auditory Attention Identification Methods. Frontiers in Neuroscience. 13. 153–153. 57 indexed citations

20.

Aličković, Emina & Abdülhamit Subaşı. (2016). Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier. Journal of Medical Systems. 40(4). 108–108. 134 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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