Aya Khalaf

900 total citations
29 papers, 314 citations indexed

About

Aya Khalaf is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Aya Khalaf has authored 29 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Aya Khalaf's work include EEG and Brain-Computer Interfaces (18 papers), Neuroscience and Neural Engineering (6 papers) and Functional Brain Connectivity Studies (6 papers). Aya Khalaf is often cited by papers focused on EEG and Brain-Computer Interfaces (18 papers), Neuroscience and Neural Engineering (6 papers) and Functional Brain Connectivity Studies (6 papers). Aya Khalaf collaborates with scholars based in United States, Egypt and South Korea. Aya Khalaf's co-authors include Inas A. Yassine, Murat Akçakaya, Mohamed I. Owis, Ervin Sejdić, Ahmed S. Fahmy, Yasser M. Kadah, Hal Blumenfeld, Sarah Ostadabbas, Erika Siegel and Brandon M. Grainger and has published in prestigious journals such as PLoS ONE, NeuroImage and Cerebral Cortex.

In The Last Decade

Aya Khalaf

25 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aya Khalaf United States 10 203 104 50 47 46 29 314
Michaela Šidiková Czechia 6 167 0.8× 66 0.6× 107 2.1× 70 1.5× 21 0.5× 9 318
Hakseung Kim South Korea 12 155 0.8× 66 0.6× 85 1.7× 102 2.2× 44 1.0× 44 412
Davide Borra Italy 12 271 1.3× 54 0.5× 66 1.3× 79 1.7× 16 0.3× 23 377
Mürşide Değirmenci Türkiye 9 241 1.2× 156 1.5× 62 1.2× 20 0.4× 15 0.3× 17 317
Sh‐Hussain Salleh Malaysia 12 226 1.1× 46 0.4× 81 1.6× 38 0.8× 33 0.7× 34 390
Hubert Banville Canada 10 285 1.4× 48 0.5× 38 0.8× 37 0.8× 19 0.4× 16 373
Mohammadreza Abtahi United States 9 149 0.7× 45 0.4× 114 2.3× 38 0.8× 96 2.1× 15 286
Phattarapong Sawangjai Thailand 6 299 1.5× 55 0.5× 52 1.0× 58 1.2× 18 0.4× 10 402
Ziad Sankari United States 5 345 1.7× 89 0.9× 38 0.8× 45 1.0× 18 0.4× 7 485
Elnaz Lashgari United States 4 191 0.9× 52 0.5× 41 0.8× 40 0.9× 11 0.2× 8 289

Countries citing papers authored by Aya Khalaf

Since Specialization
Citations

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

Fields of papers citing papers by Aya Khalaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aya Khalaf

This figure shows the co-authorship network connecting the top 25 collaborators of Aya Khalaf. A scholar is included among the top collaborators of Aya Khalaf 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 Aya Khalaf. Aya Khalaf 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.
2.
Khalaf, Aya, et al.. (2025). Shared subcortical arousal systems across sensory modalities during transient modulation of attention. NeuroImage. 312. 121224–121224. 2 indexed citations
3.
4.
Khalaf, Aya, et al.. (2023). Photovoltaic sizing using machine learning. Energy Reports. 9. 512–518.
5.
Khalaf, Aya, Peter Vincent, Jun Hwan Ryu, et al.. (2022). A machine‐learning approach for predicting impaired consciousness in absence epilepsy. Annals of Clinical and Translational Neurology. 9(10). 1538–1550. 8 indexed citations
6.
Khalaf, Aya, et al.. (2020). Induced bioresistance via BNP detection for machine learning-based risk assessment. Biosensors and Bioelectronics. 175. 112903–112903. 6 indexed citations
7.
Khalaf, Aya, et al.. (2020). EEG-based Neglect Detection for Stroke Patients. PubMed. 2020. 264–267. 6 indexed citations
8.
Khalaf, Aya, Miaolin Fan, Yu Yin, et al.. (2019). Analysis of multimodal physiological signals within and between individuals to predict psychological challenge vs. threat. Expert Systems with Applications. 140. 112890–112890. 17 indexed citations
9.
Khalaf, Aya, Ervin Sejdić, & Murat Akçakaya. (2019). Common spatial pattern and wavelet decomposition for motor imagery EEG- fTCD brain-computer interface. Journal of Neuroscience Methods. 320. 98–106. 18 indexed citations
10.
Khalaf, Aya, Ervin Sejdić, & Murat Akçakaya. (2019). EEG-fTCD hybrid brain–computer interface using template matching and wavelet decomposition. Journal of Neural Engineering. 16(3). 36014–36014. 7 indexed citations
11.
Khalaf, Aya, et al.. (2019). Bhattacharyya Distance-based Transfer Learning for a Hybrid EEG-FTCD Brain-computer Interface. 3082–3086. 1 indexed citations
12.
Khalaf, Aya, et al.. (2018). EEG-based neglect assessment: A feasibility study. Journal of Neuroscience Methods. 303. 169–177. 6 indexed citations
13.
Khalaf, Aya, Ervin Sejdić, & Murat Akçakaya. (2018). Towards optimal visual presentation design for hybrid EEG—fTCD brain–computer interfaces. Journal of Neural Engineering. 15(5). 56019–56019. 11 indexed citations
14.
Khalaf, Aya, Ervin Sejdić, & Murat Akçakaya. (2018). A novel motor imagery hybrid brain computer interface using EEG and functional transcranial Doppler ultrasound. Journal of Neuroscience Methods. 313. 44–53. 15 indexed citations
15.
Khalaf, Aya, et al.. (2017). A brain-computer interface based on functional transcranial doppler ultrasound using wavelet transform and support vector machines. Journal of Neuroscience Methods. 293. 174–182. 16 indexed citations
16.
Khalaf, Aya, et al.. (2016). An EEG and fTCD based BCI for control. 13. 1285–1289. 3 indexed citations
17.
Khalaf, Aya, Inas A. Yassine, & Ahmed S. Fahmy. (2016). Convolutional neural networks for deep feature learning in retinal vessel segmentation. 385–388. 32 indexed citations
18.
Khalaf, Aya, Mohamed I. Owis, & Inas A. Yassine. (2015). A novel technique for cardiac arrhythmia classification using spectral correlation and support vector machines. Expert Systems with Applications. 42(21). 8361–8368. 90 indexed citations
19.
Khalaf, Aya, et al.. (2015). Image features of spectral correlation function for arrhythmia classification. PubMed. 9. 5199–5202. 1 indexed citations
20.
Khalaf, Aya & Inas A. Yassine. (2015). Spectral correlation analysis for microcalcification detection in digital mammogram images. 13. 88–91. 3 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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