Béchir Jarraya

3.7k total citations · 1 hit paper
45 papers, 1.8k citations indexed

About

Béchir Jarraya is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Béchir Jarraya has authored 45 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 11 papers in Cellular and Molecular Neuroscience and 10 papers in Neurology. Recurrent topics in Béchir Jarraya's work include Functional Brain Connectivity Studies (17 papers), Neural dynamics and brain function (16 papers) and EEG and Brain-Computer Interfaces (11 papers). Béchir Jarraya is often cited by papers focused on Functional Brain Connectivity Studies (17 papers), Neural dynamics and brain function (16 papers) and EEG and Brain-Computer Interfaces (11 papers). Béchir Jarraya collaborates with scholars based in France, United States and Belgium. Béchir Jarraya's co-authors include Lynn Uhrig, Stanislas Dehaene, Jacobo Sitt, Pablo Barttfeld, Mariano Sigman, Wim Vanduffel, Stéphane Palfi, Jordy Tasserie, Liping Wang and John T. Arsenault and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Béchir Jarraya

39 papers receiving 1.8k citations

Hit Papers

Signature of consciousness in the dynamics of resting-sta... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Béchir Jarraya France 19 1.1k 513 356 262 175 45 1.8k
Mohamad Z. Koubeissi United States 19 918 0.8× 567 1.1× 332 0.9× 114 0.4× 76 0.4× 103 1.9k
Yuri B. Saalmann United States 22 2.6k 2.4× 781 1.5× 164 0.5× 291 1.1× 158 0.9× 39 3.1k
Eric LaPresto United States 16 948 0.9× 388 0.8× 158 0.4× 321 1.2× 69 0.4× 21 1.5k
Jean‐Pierre Vignal France 29 1.8k 1.7× 598 1.2× 219 0.6× 236 0.9× 66 0.4× 65 2.8k
Agnès Trébuchon France 28 1.5k 1.4× 802 1.6× 544 1.5× 175 0.7× 67 0.4× 99 2.5k
Jörg Wellmer Germany 28 989 0.9× 618 1.2× 218 0.6× 437 1.7× 180 1.0× 76 2.3k
N. Barbaro United States 18 2.2k 2.0× 1.1k 2.2× 394 1.1× 192 0.7× 207 1.2× 30 3.2k
Hennric Jokeit Switzerland 29 1.9k 1.7× 958 1.9× 228 0.6× 361 1.4× 109 0.6× 73 3.1k
Inês R. Violante United Kingdom 23 854 0.8× 288 0.6× 323 0.9× 121 0.5× 100 0.6× 66 1.4k
Ivana Sartori Italy 37 2.1k 1.9× 1.1k 2.1× 548 1.5× 310 1.2× 152 0.9× 103 3.6k

Countries citing papers authored by Béchir Jarraya

Since Specialization
Citations

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

Fields of papers citing papers by Béchir Jarraya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Béchir Jarraya

This figure shows the co-authorship network connecting the top 25 collaborators of Béchir Jarraya. A scholar is included among the top collaborators of Béchir Jarraya 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 Béchir Jarraya. Béchir Jarraya 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.
Hoffner, Guylaine, Lynn Uhrig, Camilo Miguel Signorelli, et al.. (2025). Transcranial direct current stimulation modulates primate brain dynamics across states of consciousness. eLife. 13.
2.
Kerkoerle, Timo van, Louise Pape, Xiaoxia Feng, et al.. (2025). Brain areas for reversible symbolic reference, a potential singularity of the human brain. eLife. 12. 1 indexed citations
3.
Aru, Jaan, Thomas Andrillon, Béchir Jarraya, et al.. (2025). Recurrency as a Common Denominator for Consciousness Theories. 1 indexed citations
4.
Luppi, Andrea I., Lynn Uhrig, Jordy Tasserie, et al.. (2024). Local orchestration of distributed functional patterns supporting loss and restoration of consciousness in the primate brain. Nature Communications. 15(1). 2171–2171. 14 indexed citations
5.
Hoffner, Guylaine, Lynn Uhrig, Camilo Miguel Signorelli, et al.. (2024). Transcranial direct current stimulation modulates primate brain dynamics across states of consciousness. eLife. 13.
6.
Uhrig, Lynn, Guylaine Hoffner, Jordy Tasserie, et al.. (2024). Transient brain activity dynamics discriminate levels of consciousness during anesthesia. Communications Biology. 7(1). 716–716. 1 indexed citations
7.
Tasserie, Jordy, et al.. (2022). Deep brain stimulation of the thalamus restores signatures of consciousness in a nonhuman primate model. Science Advances. 8(11). 92 indexed citations
9.
Signorelli, Camilo Miguel, et al.. (2022). From brain-body function to conscious interactions. Neuroscience & Biobehavioral Reviews. 141. 104833–104833. 4 indexed citations
10.
Ponce‐Alvarez, Adrián, et al.. (2021). Macroscopic Quantities of Collective Brain Activity during Wakefulness and Anesthesia. Cerebral Cortex. 32(2). 298–311. 11 indexed citations
11.
Hahn, Gerald J., Gorka Zamora‐López, Lynn Uhrig, et al.. (2020). Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals. NeuroImage. 226. 117470–117470. 33 indexed citations
12.
Basso, Michele A., Stephen Frey, Kathryn A. Guerriero, et al.. (2020). Using non-invasive neuroimaging to enhance the care, well-being and experimental outcomes of laboratory non-human primates (monkeys). NeuroImage. 228. 117667–117667. 15 indexed citations
13.
Uhrig, Lynn, et al.. (2020). Hierarchical disruption in the cortex of anesthetized monkeys as a new signature of consciousness loss. NeuroImage. 227. 117618–117618. 16 indexed citations
14.
Uhrig, Lynn, Jacobo Sitt, Jordy Tasserie, et al.. (2018). Resting-state Dynamics as a Cortical Signature of Anesthesia in Monkeys. Anesthesiology. 129(5). 942–958. 78 indexed citations
15.
Uhrig, Lynn, et al.. (2016). Cerebral responses to local and global auditory novelty under general anesthesia. NeuroImage. 141. 326–340. 53 indexed citations
16.
Barttfeld, Pablo, Lynn Uhrig, Jacobo Sitt, et al.. (2015). Signature of consciousness in the dynamics of resting-state brain activity. Proceedings of the National Academy of Sciences. 112(3). 887–892. 472 indexed citations breakdown →
17.
Wang, Liping, Lynn Uhrig, Béchir Jarraya, & Stanislas Dehaene. (2015). Representation of Numerical and Sequential Patterns in Macaque and Human Brains. Current Biology. 25(15). 1966–1974. 105 indexed citations
18.
Uhrig, Lynn, Stanislas Dehaene, & Béchir Jarraya. (2014). A Hierarchy of Responses to Auditory Regularities in the Macaque Brain. Journal of Neuroscience. 34(4). 1127–1132. 82 indexed citations
19.
Arsenault, John T., Koen Nelissen, Béchir Jarraya, & Wim Vanduffel. (2013). Dopaminergic Reward Signals Selectively Decrease fMRI Activity in Primate Visual Cortex. Neuron. 77(6). 1174–1186. 91 indexed citations
20.
Hodel, Jérôme, Philippe Decq, Alain Rahmouni, et al.. (2009). Brain ventricular wall movement assessed by a gated cine MR trueFISP sequence in patients treated with endoscopic third ventriculostomy. European Radiology. 19(12). 2789–2797. 14 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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