Frédéric Zubler

1.2k total citations
46 papers, 770 citations indexed

About

Frédéric Zubler is a scholar working on Cognitive Neuroscience, Epidemiology and Emergency Medicine. According to data from OpenAlex, Frédéric Zubler has authored 46 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 15 papers in Epidemiology and 15 papers in Emergency Medicine. Recurrent topics in Frédéric Zubler's work include EEG and Brain-Computer Interfaces (17 papers), Cardiac Arrest and Resuscitation (15 papers) and Traumatic Brain Injury Research (13 papers). Frédéric Zubler is often cited by papers focused on EEG and Brain-Computer Interfaces (17 papers), Cardiac Arrest and Resuscitation (15 papers) and Traumatic Brain Injury Research (13 papers). Frédéric Zubler collaborates with scholars based in Switzerland, Italy and United Kingdom. Frédéric Zubler's co-authors include Kaspar Schindler, Andrea O. Rossetti, Mauro Oddo, Heidemarie Gast, Jan Nový, Stephan Rüegg, Vincent Alvarez, Matthias Hænggi, Marzia De Lucia and Lino Nobili and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Brain.

In The Last Decade

Frédéric Zubler

42 papers receiving 747 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frédéric Zubler Switzerland 16 472 186 166 164 143 46 770
Eva K. Ritzl United States 18 733 1.6× 531 2.9× 241 1.5× 142 0.9× 65 0.5× 56 1.5k
Xuehai Wu China 21 610 1.3× 119 0.6× 101 0.6× 251 1.5× 533 3.7× 71 1.5k
Davide Carone Italy 14 384 0.8× 168 0.9× 67 0.4× 42 0.3× 150 1.0× 31 751
Davide Rossi Sebastiano Italy 19 418 0.9× 166 0.9× 65 0.4× 144 0.9× 355 2.5× 80 899
Eduardo Henrik Aubert Cuba 21 843 1.8× 165 0.9× 139 0.8× 38 0.2× 112 0.8× 43 1.2k
Valeriy Nenov United States 13 418 0.9× 307 1.7× 184 1.1× 155 0.9× 186 1.3× 24 1.2k
Qiuyou Xie China 17 654 1.4× 74 0.4× 100 0.6× 142 0.9× 438 3.1× 51 951
Mika Särkelä Finland 16 611 1.3× 167 0.9× 126 0.8× 147 0.9× 97 0.7× 36 1.6k
Angela Comanducci Italy 12 552 1.2× 113 0.6× 86 0.5× 178 1.1× 323 2.3× 41 903

Countries citing papers authored by Frédéric Zubler

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Zubler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Zubler

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Zubler. A scholar is included among the top collaborators of Frédéric Zubler 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 Frédéric Zubler. Frédéric Zubler 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.
Klein, Antonia, et al.. (2025). Electroencephalographic Resting‐State Microstates are Unstable in Visual Snow Syndrome. Brain and Behavior. 15(3). e70374–e70374.
3.
Aellen, Florence M., Thomas Rusterholz, Andrea O. Rossetti, et al.. (2025). Temporal dynamics of neural synchrony and complexity of auditory EEG responses in post-hypoxic ischemic coma. Resuscitation. 208. 110531–110531. 1 indexed citations
4.
Zubler, Frédéric & Athina Tzovara. (2023). Deep learning for EEG-based prognostication after cardiac arrest: from current research to future clinical applications. Frontiers in Neurology. 14. 1183810–1183810. 5 indexed citations
5.
Aellen, Florence M., et al.. (2023). Auditory stimulation and deep learning predict awakening from coma after cardiac arrest. Brain. 146(2). 778–788. 22 indexed citations
6.
Iten, Manuela, et al.. (2023). The effect of sedation and time after cardiac arrest on coma outcome prognostication based on EEG power spectra. Brain Communications. 5(4). fcad190–fcad190. 1 indexed citations
7.
Duss, Simone B., Corrado Bernasconi, Martijn P. J. Dekkers, et al.. (2022). Frequency and evolution of sleep-wake disturbances after ischemic stroke: A 2-year prospective study of 437 patients. Sleep Medicine. 101. 244–251. 22 indexed citations
8.
Nový, Jan, Frédéric Zubler, Kaspar Schindler, et al.. (2021). EEG spindles integrity in critical care adults. Analysis of a randomized trial. Acta Neurologica Scandinavica. 144(6). 655–662. 11 indexed citations
9.
Hall, Deborah A., Frédéric Zubler, Raphael Sznitman, et al.. (2021). Bayesian brain in tinnitus: Computational modeling of three perceptual phenomena using a modified Hierarchical Gaussian Filter. Hearing Research. 410. 108338–108338. 8 indexed citations
10.
Riganello, Francesco, Frédéric Zubler, Matthias Hænggi, & Marzia De Lucia. (2021). Heart rate complexity: An early prognostic marker of patient outcome after cardiac arrest. Clinical Neurophysiology. 134. 27–33. 15 indexed citations
11.
Müller, Michael, Andrea O. Rossetti, Vincent Alvarez, et al.. (2020). Standardized visual EEG features predict outcome in patients with acute consciousness impairment of various etiologies. Critical Care. 24(1). 680–680. 14 indexed citations
12.
Kustermann, Thomas, Christian Pfeiffer, Matthias Hænggi, et al.. (2020). Brain functional connectivity during the first day of coma reflects long-term outcome. NeuroImage Clinical. 27. 102295–102295. 11 indexed citations
13.
Zubler, Frédéric, Anja Weck, Matthias Hænggi, et al.. (2020). Topography of MR lesions correlates with standardized EEG pattern in early comatose survivors after cardiac arrest. Resuscitation. 149. 217–224. 12 indexed citations
14.
Rossetti, Andrea O., Andrea Seiler, Thomas Kustermann, et al.. (2019). Electromyographic reactivity measured with scalp-EEG contributes to prognostication after cardiac arrest. Resuscitation. 138. 146–152. 14 indexed citations
15.
Kustermann, Thomas, Christian Pfeiffer, Matthias Hænggi, et al.. (2019). Electroencephalography-based power spectra allow coma outcome prediction within 24 h of cardiac arrest. Resuscitation. 142. 162–167. 20 indexed citations
16.
Bandarabadi, Mojtaba, Heidemarie Gast, Christian Rummel, et al.. (2019). Assessing Epileptogenicity Using Phase-Locked High Frequency Oscillations: A Systematic Comparison of Methods. Frontiers in Neurology. 10. 1132–1132. 14 indexed citations
17.
Zubler, Frédéric, Annalisa Rubino, Giorgio Lo Russo, Kaspar Schindler, & Lino Nobili. (2017). Correlating Interictal Spikes with Sigma and Delta Dynamics during Non-Rapid-Eye-Movement-Sleep. Frontiers in Neurology. 8. 288–288. 25 indexed citations
18.
Schindler, Kaspar, Christian Rummel, Ralph G. Andrzejak, et al.. (2016). Ictal time-irreversible intracranial EEG signals as markers of the epileptogenic zone. Clinical Neurophysiology. 127(9). 3051–3058. 27 indexed citations
19.
Bauer, Roman, Frédéric Zubler, Sabina Pfister, et al.. (2014). Developmental Self-Construction and -Configuration of Functional Neocortical Neuronal Networks. PLoS Computational Biology. 10(12). e1003994–e1003994. 19 indexed citations
20.
Bauer, Roman, et al.. (2012). Developmental Origin of Patchy Axonal Connectivity in the Neocortex: A Computational Model. Cerebral Cortex. 24(2). 487–500. 15 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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