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Brain Topography

JournalCitation impact & published research

Brain Topography is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 1,881 works, 68,372 citations, an h-index of 116 and an APC (USD) of 3,990.

1,881
Works
68,372
Citations
116
h-index
3,990
APC (USD)

What are the most-cited papers on Brain Topography?

ScholarIQmost cited works
Are Females More Responsive to Emotional Stimuli? A Neurophysiological Study Across Arousal and Valence Dimensions
Chrysa Lithari, C. A. Frantzidis, Christos Papadelis, Ana B. Vivas, Manousos A. Klados, Chrysoula Kourtidou‐Papadeli, C. Pappas, Andreas A. Ioannides, Panagiotis D. Bamidis
Brain Topography. 2009315 CitationsOPEN ACCESS
FMRI of Ventral and Dorsal Processing Streams in Basic Reading Processes: Insular Sensitivity to Phonology
Ron Borowsky, Jacqueline Cummine, William J. Owen, Chris Kelland Friesen, Francis Shih, Gordon E. Sarty
Brain Topography. 2006126 Citations
Performances of surface Laplacian estimators: A study of simulated and real scalp potential distributions
Fabio Babiloni, Claudio Babiloni, Luigi Fattorini, Filippo Carducci, Paolo Onorati, Antonio Urbano
Brain Topography. 1995116 Citations
Which Physiological Components are More Suitable for Visual ERP Based Brain–Computer Interface? A Preliminary MEG/EEG Study
Luigi Bianchi, Saber Sami, Arjan Hillebrand, Ian P. Fawcett, Lucia Rita Quitadamo, Stefano Seri
Brain Topography. 201092 CitationsOPEN ACCESS
Neural Representations of Visual Words and Objects: A Functional MRI Study on the Modularity of Reading and Object Processing
Ron Borowsky, Carrie Esopenko, Jacqueline Cummine, Gordon E. Sarty
Brain Topography. 200774 Citations

Related on ScholarIQ

Are Females More Responsive to Emotional Stimuli? A Neurophysiological Study Across Arousal and Valence Dimensions
Paper
FMRI of Ventral and Dorsal Processing Streams in Basic Reading Processes: Insular Sensitivity to Phonology
Paper
Performances of surface Laplacian estimators: A study of simulated and real scalp potential distributions
Paper
Which Physiological Components are More Suitable for Visual ERP Based Brain–Computer Interface? A Preliminary MEG/EEG Study
Paper
Neural Representations of Visual Words and Objects: A Functional MRI Study on the Modularity of Reading and Object Processing
Paper
Two Intrinsic Coupling Types for Resting-State Integration in the Human Brain
Paper
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