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Svojmil Petránek
ResearcherPublications, citations & collaboration network
Svojmil Petránek is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 38 works, 291 citations, an h-index of 7 and an i10-index of 6.
38
Works
291
Citations
7
h-index
6
i10-index
IDs:OpenAlex
How has Svojmil Petránek's publication output changed over time?
ScholarIQpublication output · 1991–2022
Output declined50% over the shown period — from 2 works in 1991 to 1 in 2022.
2
1
1
1
1
2
1
1
1
199120032005200620072009201520162022
What are the most-cited papers on Svojmil Petránek?
ScholarIQmost cited works
Automatic identification of significant graphoelements in multichannel EEG recordings by adaptive segmentation and fuzzy clustering
Vladimı́r Krajča, Svojmil Petránek, Ivana Patáková, Alpo Värri
S4210229455. 199188 Citations
Comparison of quantitative EEG characteristics of quiet and active sleep in newborns
Karel Paul, Vladimı́r Krajča, Zdeněk Roth, Jan Melichar, Svojmil Petránek
Sleep Medicine. 200355 Citations
Use of discrete Hilbert transformation for automatic spike mapping: A methodological investigation
Herbert Witte, M. Eiselt, Ivana Patáková, Svojmil Petránek, G Griessbach, Vladimı́r Krajča, M. Rother
Medical & Biological Engineering & Computing. 199139 Citations
Automatic Detection of Sleep Stages in Neonatal EEG Using the Structural Time Profiles
Vladimı́r Krajča, Svojmil Petránek, K. Paul, M Matouŝek, Jitka Mohylová, Lenka Lhotská
200530 Citations
Quantitative topographic differentiation of the neonatal EEG
Karel Paul, Vladimı́r Krajča, Zdeněk Roth, Jan Melichar, Svojmil Petránek
Clinical Neurophysiology. 200617 Citations
Related on ScholarIQ
Automatic identification of significant graphoelements in multichannel EEG recordings by adaptive segmentation and fuzzy clustering
Paper
Comparison of quantitative EEG characteristics of quiet and active sleep in newborns
Paper
Use of discrete Hilbert transformation for automatic spike mapping: A methodological investigation
Paper
Automatic Detection of Sleep Stages in Neonatal EEG Using the Structural Time Profiles
Paper
Quantitative topographic differentiation of the neonatal EEG
Paper
Neonatal EEG Sleep Stages Modelling by Temporal Profiles
Paper