Tarek Lajnef

966 total citations
24 papers, 673 citations indexed

About

Tarek Lajnef is a scholar working on Cognitive Neuroscience, Signal Processing and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tarek Lajnef has authored 24 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 5 papers in Signal Processing and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tarek Lajnef's work include EEG and Brain-Computer Interfaces (16 papers), Neural dynamics and brain function (10 papers) and Sleep and Wakefulness Research (6 papers). Tarek Lajnef is often cited by papers focused on EEG and Brain-Computer Interfaces (16 papers), Neural dynamics and brain function (10 papers) and Sleep and Wakefulness Research (6 papers). Tarek Lajnef collaborates with scholars based in Canada, Tunisia and France. Tarek Lajnef's co-authors include Abdennaceur Kachouri, Karim Jerbi, Sahbi Chaibi, Mounir Samet, Perrine Ruby, Jean‐Baptiste Eichenlaub, Pierre‐Emmanuel Aguera, Etienne Combrisson, Raphaël Vallat and Annalisa Pascarella and has published in prestigious journals such as PLoS ONE, NeuroImage and Frontiers in Human Neuroscience.

In The Last Decade

Tarek Lajnef

24 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tarek Lajnef Canada 14 572 137 114 76 71 24 673
Sahbi Chaibi Tunisia 9 353 0.6× 80 0.6× 96 0.8× 67 0.9× 47 0.7× 16 421
Serap Aydın Türkiye 19 621 1.1× 206 1.5× 148 1.3× 38 0.5× 97 1.4× 42 841
Lihui Cai China 15 575 1.0× 49 0.4× 70 0.6× 62 0.8× 92 1.3× 35 742
Changming Wang China 18 613 1.1× 105 0.8× 46 0.4× 68 0.9× 91 1.3× 63 801
Kai Görgen Germany 9 1.1k 1.9× 157 1.1× 97 0.9× 68 0.9× 41 0.6× 18 1.3k
Stelios Hadjidimitriou Greece 12 376 0.7× 221 1.6× 78 0.7× 56 0.7× 34 0.5× 34 724
Yodchanan Wongsawat Thailand 17 556 1.0× 115 0.8× 113 1.0× 48 0.6× 72 1.0× 108 896
Jean‐Baptiste Eichenlaub France 14 674 1.2× 356 2.6× 73 0.6× 31 0.4× 36 0.5× 21 754
Jarosław Żygierewicz Poland 17 823 1.4× 149 1.1× 127 1.1× 38 0.5× 44 0.6× 61 960
Pavan Ramkumar United States 15 628 1.1× 34 0.2× 111 1.0× 38 0.5× 60 0.8× 24 791

Countries citing papers authored by Tarek Lajnef

Since Specialization
Citations

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

Fields of papers citing papers by Tarek Lajnef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarek Lajnef

This figure shows the co-authorship network connecting the top 25 collaborators of Tarek Lajnef. A scholar is included among the top collaborators of Tarek Lajnef 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 Tarek Lajnef. Tarek Lajnef 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.
Pascarella, Annalisa, David Meunier, Jordan O’Byrne, et al.. (2025). Meditation induces shifts in neural oscillations, brain complexity, and critical dynamics: novel insights from MEG. Neuroscience of Consciousness. 2025(1). niaf047–niaf047. 1 indexed citations
2.
Lajnef, Tarek, et al.. (2025). Caffeine induces age-dependent increases in brain complexity and criticality during sleep. Communications Biology. 8(1). 685–685. 2 indexed citations
3.
Lajnef, Tarek, Annalisa Pascarella, Jean‐Marc Lina, et al.. (2022). Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography. Frontiers in Neural Circuits. 16. 630621–630621. 10 indexed citations
4.
Lajnef, Tarek, et al.. (2021). Neural oscillations track natural but not artificial fast speech: Novel insights from speech-brain coupling using MEG. NeuroImage. 244. 118577–118577. 12 indexed citations
5.
Meunier, David, Annalisa Pascarella, Mainak Jas, et al.. (2020). NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines. NeuroImage. 219. 117020–117020. 27 indexed citations
6.
Pascarella, Annalisa, Tarek Lajnef, Laura Knight, et al.. (2020). Patient, interrupted: MEG oscillation dynamics reveal temporal dysconnectivity in schizophrenia. NeuroImage Clinical. 28. 102485–102485. 10 indexed citations
7.
Jeannès, Régine Le Bouquin, et al.. (2019). Epileptic seizure detection on EEG signals using machine learning techniques and advanced preprocessing methods. Biomedizinische Technik/Biomedical Engineering. 65(1). 33–50. 37 indexed citations
8.
Combrisson, Etienne, Raphaël Vallat, Christian O’Reilly, et al.. (2019). Visbrain: A Multi-Purpose GPU-Accelerated Open-Source Suite for Multimodal Brain Data Visualization. Frontiers in Neuroinformatics. 13. 14–14. 43 indexed citations
9.
Knoth, Inga Sophia, Tarek Lajnef, Simon Rigoulot, et al.. (2018). Auditory repetition suppression alterations in relation to cognitive functioning in fragile X syndrome: a combined EEG and machine learning approach. Journal of Neurodevelopmental Disorders. 10(1). 4–4. 21 indexed citations
10.
Thiery, Thomas, Tarek Lajnef, Etienne Combrisson, et al.. (2018). Long-range temporal correlations in the brain distinguish conscious wakefulness from induced unconsciousness. NeuroImage. 179. 30–39. 23 indexed citations
11.
Vallat, Raphaël, Tarek Lajnef, Jean‐Baptiste Eichenlaub, et al.. (2017). Increased Evoked Potentials to Arousing Auditory Stimuli during Sleep: Implication for the Understanding of Dream Recall. Frontiers in Human Neuroscience. 11. 132–132. 33 indexed citations
12.
Combrisson, Etienne, Raphaël Vallat, Jean‐Baptiste Eichenlaub, et al.. (2017). Sleep: An Open-Source Python Software for Visualization, Analysis, and Staging of Sleep Data. Frontiers in Neuroinformatics. 11. 60–60. 28 indexed citations
13.
Thiery, Thomas, et al.. (2016). Decoding the Locus of Covert Visuospatial Attention from EEG Signals. PLoS ONE. 11(8). e0160304–e0160304. 10 indexed citations
14.
15.
Lajnef, Tarek, Sahbi Chaibi, Perrine Ruby, et al.. (2015). Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines. Journal of Neuroscience Methods. 250. 94–105. 234 indexed citations
16.
Chaibi, Sahbi, et al.. (2015). A Robustness Comparison of Two Algorithms Used for EEG Spike Detection. The Open Biomedical Engineering Journal. 9(1). 151–156. 15 indexed citations
17.
Lajnef, Tarek, Sahbi Chaibi, Jean‐Baptiste Eichenlaub, et al.. (2015). Sleep spindle and K-complex detection using tunable Q-factor wavelet transform and morphological component analysis. Frontiers in Human Neuroscience. 9. 414–414. 51 indexed citations
18.
Chaibi, Sahbi, et al.. (2014). A reliable approach to distinguish between transient with and without HFOs using TQWT and MCA. Journal of Neuroscience Methods. 232. 36–46. 22 indexed citations
19.
Chaibi, Sahbi, et al.. (2013). A Comparaison of Methods for Detection of High Frequency Oscillations (HFOs) in Human Intacerberal EEG Recordings. 3(2). 25–34. 15 indexed citations
20.

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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