Sergey Burnos

627 total citations
9 papers, 466 citations indexed

About

Sergey Burnos is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sergey Burnos has authored 9 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 4 papers in Psychiatry and Mental health and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sergey Burnos's work include EEG and Brain-Computer Interfaces (8 papers), Functional Brain Connectivity Studies (4 papers) and Epilepsy research and treatment (4 papers). Sergey Burnos is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Functional Brain Connectivity Studies (4 papers) and Epilepsy research and treatment (4 papers). Sergey Burnos collaborates with scholars based in Switzerland, Netherlands and Finland. Sergey Burnos's co-authors include Johannes Sarnthein, Niklaus Krayenbühl, Thomas Grünwald, Peter Hilfiker, Tommaso Fedele, Felix Scholkmann, Oǧuzkan Sürücü, Ece Boran, Maeike Zijlmans and Nicole van Klink and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Neurophysiology.

In The Last Decade

Sergey Burnos

9 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sergey Burnos Switzerland	7	393	276	169	34	34	9	466
Anca Nica France	11	393 1.0×	272 1.0×	176 1.0×	18 0.5×	63 1.9×	30	527
Tommaso Fedele Switzerland	16	444 1.1×	206 0.7×	176 1.0×	60 1.8×	83 2.4×	27	601
Tineke Gebbink Netherlands	9	244 0.6×	199 0.7×	121 0.7×	17 0.5×	37 1.1×	18	416
Willemiek Zweiphenning Netherlands	12	562 1.4×	426 1.5×	247 1.5×	25 0.7×	120 3.5×	19	714
Raghavendra Kenchaiah India	10	233 0.6×	168 0.6×	101 0.6×	17 0.5×	47 1.4×	58	411
Nat Hemasilpin United States	10	283 0.7×	207 0.8×	103 0.6×	13 0.4×	29 0.9×	14	363
Gregor Strobbe Belgium	11	334 0.8×	165 0.6×	56 0.3×	8 0.2×	87 2.6×	21	404
Maryse A. van ’t Klooster Netherlands	12	712 1.8×	589 2.1×	429 2.5×	29 0.9×	57 1.7×	19	900
Tanguy Hedrich Canada	12	477 1.2×	201 0.7×	80 0.5×	40 1.2×	168 4.9×	16	562
Rahul Chander Canada	5	821 2.1×	577 2.1×	576 3.4×	18 0.5×	36 1.1×	8	988

Countries citing papers authored by Sergey Burnos

Since Specialization

Citations

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

Fields of papers citing papers by Sergey Burnos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Burnos

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

All Works

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9 of 9 papers shown

Klink, Nicole van, Jukka Nenonen, Sergey Burnos, et al.. (2017). Automatic detection and visualisation of MEG ripple oscillations in epilepsy. NeuroImage Clinical. 15. 689–701. 33 indexed citations

Fedele, Tommaso, Georgia Ramantani, Sergey Burnos, et al.. (2017). Prediction of seizure outcome improved by fast ripples detected in low-noise intraoperative corticogram. Clinical Neurophysiology. 128(7). 1220–1226. 35 indexed citations

Fedele, Tommaso, Sergey Burnos, Ece Boran, et al.. (2017). Resection of high frequency oscillations predicts seizure outcome in the individual patient. Scientific Reports. 7(1). 13836–13836. 103 indexed citations

Boran, Ece, Sergey Burnos, Tommaso Fedele, et al.. (2017). P361 Test-Retest reliability of the spatial distribution of high frequency oscillations (HFO) in intracranial EEG. Clinical Neurophysiology. 128(9). e295–e295. 1 indexed citations

Fedele, Tommaso, Sergey Burnos, Willemiek Zweiphenning, et al.. (2016). Automatic detection of high frequency oscillations during epilepsy surgery predicts seizure outcome. Clinical Neurophysiology. 127(9). 3066–3074. 75 indexed citations

Burnos, Sergey, Birgit Frauscher, Rina Zelmann, et al.. (2016). The morphology of high frequency oscillations (HFO) does not improve delineating the epileptogenic zone. Clinical Neurophysiology. 127(4). 2140–2148. 69 indexed citations

Burnos, Sergey, et al.. (2015). Detectability of the somatosensory evoked high frequency oscillation (HFO) co-recorded by scalp EEG and ECoG under propofol. NeuroImage Clinical. 10. 318–325. 26 indexed citations

Burnos, Sergey, Peter Hilfiker, Oǧuzkan Sürücü, et al.. (2014). Human Intracranial High Frequency Oscillations (HFOs) Detected by Automatic Time-Frequency Analysis. PLoS ONE. 9(4). e94381–e94381. 121 indexed citations

Burnos, Sergey, et al.. (2014). P795: Human intracranial high frequency oscillations (HFOs) detected by automatic time-frequency analysis. Clinical Neurophysiology. 125. S255–S255. 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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