S. Velikova

760 total citations
21 papers, 502 citations indexed

About

S. Velikova is a scholar working on Cognitive Neuroscience, Neurology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, S. Velikova has authored 21 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 7 papers in Neurology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in S. Velikova's work include Transcranial Magnetic Stimulation Studies (6 papers), EEG and Brain-Computer Interfaces (6 papers) and ECG Monitoring and Analysis (4 papers). S. Velikova is often cited by papers focused on Transcranial Magnetic Stimulation Studies (6 papers), EEG and Brain-Computer Interfaces (6 papers) and ECG Monitoring and Analysis (4 papers). S. Velikova collaborates with scholars based in Italy, Norway and Russia. S. Velikova's co-authors include Gıancarlo Comı, Letizia Leocani, Javier J. González-Rosa, Marco Cursi, Marco Cambiaghi, Elise Houdayer, Marco Locatelli, Enrico Smeraldi, Roberto Gatti and Andrea Tettamanti and has published in prestigious journals such as NeuroImage, Neurology and Brain Research.

In The Last Decade

S. Velikova

21 papers receiving 486 citations

Peers

S. Velikova

NEURO

CMN

Catarina Saiote United States

Kathy Ruddy Ireland

Juliana Bittencourt Brazil

Gianpiero Liuzzi Germany

Sylvain Harquel France

Jamila Andoh Germany

H. Foltys Germany

Felix Duecker Netherlands

Gábor Csifcsák Norway

Jejo Koola United States

Catarina Saiote United States

S. Velikova

304 ×1.1

233 ×1.1

NEURO

96 ×1.1

CMN

66 ×0.8

58 ×0.8

Citations per year, relative to S. Velikova S. Velikova (= 1×) peers Catarina Saiote

Countries citing papers authored by S. Velikova

Since Specialization

Citations

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

Fields of papers citing papers by S. Velikova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Velikova

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

All Works

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20 of 20 papers shown

Федотчев, А. И., et al.. (2019). Modern Technologies in Studying the Mechanisms, Diagnostics, and Treatment of Autism Spectrum Disorders (Review). Sovremennye tehnologii v medicine. 11(1). 31–31. 2 indexed citations

Velikova, S., et al.. (2018). Self-guided Positive Imagery Training: Effects beyond the Emotions–A Loreta Study. Frontiers in Human Neuroscience. 11. 644–644. 5 indexed citations

Velikova, S., et al.. (2017). Can the Psycho-Emotional State be Optimized by Regular Use of Positive Imagery?, Psychological and Electroencephalographic Study of Self-Guided Training. Frontiers in Human Neuroscience. 10. 664–664. 4 indexed citations

Федотчев, А. И., et al.. (2017). Brain–Computer Interface and Neurofeedback Technologies: Current State, Problems and Clinical Prospects (Review). Sovremennye tehnologii v medicine. 9(1). 175–175. 17 indexed citations

Zhang, Jingjing, et al.. (2016). Automatic EEG Processing for the Early Diagnosis of Traumatic Brain Injury. Procedia Computer Science. 96. 703–712. 23 indexed citations

Zhang, Jingjing, et al.. (2016). Automatic EEG processing for the early diagnosis of Traumatic Brain Injury. 28. 1–6. 7 indexed citations

Houdayer, Elise, Roberto Teggi, S. Velikova, et al.. (2015). Involvement of cortico-subcortical circuits in normoacousic chronic tinnitus: A source localization EEG study. Clinical Neurophysiology. 126(12). 2356–2365. 35 indexed citations

Chieffo, Raffaella, Elise Houdayer, Arturo Nuara, et al.. (2014). Deep Repetitive Transcranial Magnetic Stimulation With H-coil on Lower Limb Motor Function in Chronic Stroke: A Pilot Study. Archives of Physical Medicine and Rehabilitation. 95(6). 1141–1147. 41 indexed citations

González-Rosa, Javier J., Andrea Tettamanti, Marco Cursi, et al.. (2014). Action observation and motor imagery in performance of complex movements: Evidence from EEG and kinematics analysis. Behavioural Brain Research. 281. 290–300. 56 indexed citations

10.

Houdayer, Elise, Roberto Teggi, S. Velikova, et al.. (2014). 5. Involvement of different cortico-subcortical circuits in chronic tinnitus: An Sloreta-based EEG study. Clinical Neurophysiology. 126(1). e2–e2. 1 indexed citations

11.

Spagnolo, Francesca, Maria Antonietta Volonté, Mario Fichera, et al.. (2013). Excitatory Deep Repetitive Transcranial Magnetic Stimulation With H-coil as Add-on Treatment of Motor Symptoms in Parkinson's Disease: An Open Label, Pilot Study. Brain stimulation. 7(2). 297–300. 31 indexed citations

12.

Libera, Dacia Dalla, Bruno Colombo, Arturo Nuara, et al.. (2013). Repetitive Transcranial Magnetic Stimulation (rTMS) as Preventive Treatment of Chronic Migraine: A Safe Approach with a Promising Effect (S59.005). Neurology. 80(7_supplement). 2 indexed citations

13.

Alemanno, Federica, Elise Houdayer, Marco Cursi, et al.. (2012). Action-related semantic content and negation polarity modulate motor areas during sentence reading: An event-related desynchronization study. Brain Research. 1484. 39–49. 32 indexed citations

14.

Velikova, S. & Giuseppe A. Chiarenza. (2012). EEG correlates of clinical subtypes of developmental dyslexia: Independent component analysis study. International Journal of Psychophysiology. 85(3). 322–322. 3 indexed citations

15.

Cambiaghi, Marco, Luis Teneud, S. Velikova, et al.. (2011). Flash visual evoked potentials in mice can be modulated by transcranial direct current stimulation. Neuroscience. 185. 161–165. 37 indexed citations

16.

González-Rosa, Javier J., S. Velikova, Andrea Tettamanti, et al.. (2011). S11.4 Action observation and motor imagery in motor learning: evidence from EEG and kinematic analysis. Clinical Neurophysiology. 122. S29–S29. 1 indexed citations

17.

Libera, Dacia Dalla, Bruno Colombo, Elisabetta Coppi, et al.. (2011). P19.19 Effects of high-frequency repetitive transcranial magnetic stimulation (rTMS) applied with H-coil for chronic migraine prophylaxis. Clinical Neurophysiology. 122. S145–S146. 4 indexed citations

18.

Velikova, S., Giuseppe Magnani, Monica Falautano, et al.. (2010). Cognitive impairment and EEG background activity in adults with Down's syndrome: A topographic study. Human Brain Mapping. 32(5). 716–729. 23 indexed citations

19.

Cambiaghi, Marco, S. Velikova, Javier J. González-Rosa, et al.. (2010). Brain transcranial direct current stimulation modulates motor excitability in mice. European Journal of Neuroscience. 31(4). 704–709. 91 indexed citations

20.

Velikova, S., et al.. (2009). Dysfunctional brain circuitry in obsessive–compulsive disorder: Source and coherence analysis of EEG rhythms. NeuroImage. 49(1). 977–983. 86 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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