Giulio Ruffini

9.3k total citations
154 papers, 5.0k citations indexed

About

Giulio Ruffini is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Giulio Ruffini has authored 154 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Cognitive Neuroscience, 63 papers in Neurology and 44 papers in Cellular and Molecular Neuroscience. Recurrent topics in Giulio Ruffini's work include Transcranial Magnetic Stimulation Studies (63 papers), EEG and Brain-Computer Interfaces (43 papers) and Functional Brain Connectivity Studies (41 papers). Giulio Ruffini is often cited by papers focused on Transcranial Magnetic Stimulation Studies (63 papers), EEG and Brain-Computer Interfaces (43 papers) and Functional Brain Connectivity Studies (41 papers). Giulio Ruffini collaborates with scholars based in Spain, United States and France. Giulio Ruffini's co-authors include Pedro C. Miranda, Ricardo Salvador, A. Rius, Cai Grau, Álvaro Pascual‐Leone, Josep Marco‐Pallarés, Abeye Mekonnen, Alejandro N. Flores, M. Caparrini and Aureli Soria‐Frisch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Giulio Ruffini

142 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giulio Ruffini Spain 39 2.4k 1.9k 848 792 763 154 5.0k
Kim Dremstrup Denmark 30 2.5k 1.1× 173 0.1× 1.1k 1.3× 284 0.4× 185 0.2× 111 4.3k
Carmine Clemente United Kingdom 40 1.3k 0.6× 471 0.3× 1.2k 1.4× 1.4k 1.8× 163 0.2× 208 5.6k
William J. Roberts United States 33 618 0.3× 597 0.3× 756 0.9× 974 1.2× 168 0.2× 138 4.4k
Erik Borg Sweden 28 843 0.4× 635 0.3× 104 0.1× 96 0.1× 25 0.0× 139 2.4k
M. Mauri Italy 29 410 0.2× 302 0.2× 223 0.3× 235 0.3× 93 0.1× 188 3.2k
Robert L. Rogers United States 38 947 0.4× 425 0.2× 310 0.4× 415 0.5× 14 0.0× 128 4.0k
Zhaohua Ding United States 38 1.2k 0.5× 277 0.1× 119 0.1× 133 0.2× 40 0.1× 124 6.7k
Liangfu Chen China 26 1.5k 0.6× 143 0.1× 111 0.1× 92 0.1× 28 0.0× 139 4.4k
Chang Li China 35 1.6k 0.7× 237 0.1× 85 0.1× 1.2k 1.5× 38 0.0× 153 6.8k
Lee M. Miller United States 32 2.6k 1.1× 85 0.0× 167 0.2× 228 0.3× 52 0.1× 85 3.6k

Countries citing papers authored by Giulio Ruffini

Since Specialization
Citations

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

Fields of papers citing papers by Giulio Ruffini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulio Ruffini

This figure shows the co-authorship network connecting the top 25 collaborators of Giulio Ruffini. A scholar is included among the top collaborators of Giulio Ruffini 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 Giulio Ruffini. Giulio Ruffini 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
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Makhalova, Julia, Francesca Pizzo, Borja Mercadal, et al.. (2024). Impact of transcranial electrical stimulation on simultaneous stereoelectroencephalography recordings: A randomized sham-controlled study. Clinical Neurophysiology. 166. 211–222. 2 indexed citations
4.
Fraire, Juan A., et al.. (2024). Quantitative analysis of segmented satellite network architectures: A maritime surveillance case study. Computer Networks. 255. 110874–110874.
5.
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Veit, Ralf, Ricardo Salvador, Giulio Ruffini, et al.. (2024). Network-targeted transcranial direct current stimulation of the hypothalamus appetite-control network: a feasibility study. Scientific Reports. 14(1). 11341–11341. 2 indexed citations
7.
Salvador, Ricardo, Fabrice Wendling, Giulio Ruffini, et al.. (2024). Epileptogenic zone characteristics determine effectiveness of electrical transcranial stimulation in epilepsy treatment. Brain Communications. 7(1). fcaf012–fcaf012. 1 indexed citations
8.
Bastos, André M., Borja Mercadal, Emiliano Santarnecchi, et al.. (2023). A physical neural mass model framework for the analysis of oscillatory generators from laminar electrophysiological recordings. NeuroImage. 270. 119938–119938. 14 indexed citations
9.
Salvador, Ricardo, et al.. (2023). Spherical harmonics representation of the steady-state membrane potential shift induced by tDCS in realistic neuron models. Journal of Neural Engineering. 20(2). 26004–26004. 5 indexed citations
10.
Mercadal, Borja, et al.. (2022). Towards a mesoscale physical modeling framework for stereotactic-EEG recordings. Journal of Neural Engineering. 20(1). 16005–16005. 4 indexed citations
11.
Martens, Géraldine, Alice Barra, Aureli Soria‐Frisch, et al.. (2021). A novel closed-loop EEG-tDCS approach to promote responsiveness of patients in minimally conscious state: A study protocol. Behavioural Brain Research. 409. 113311–113311. 14 indexed citations
12.
Mosayebi-Samani, Mohsen, Asif Jamil, Ricardo Salvador, et al.. (2021). The impact of individual electrical fields and anatomical factors on the neurophysiological outcomes of tDCS: A TMS-MEP and MRI study. Brain stimulation. 14(2). 316–326. 70 indexed citations
13.
Yavari, Fatemeh, Maria Chiara Biagi, Min‐Fang Kuo, et al.. (2021). External induction and stabilization of brain oscillations in the human. Brain stimulation. 14(3). 579–587. 20 indexed citations
14.
Martens, Géraldine, Eleni Kroupi, Yelena G. Bodien, et al.. (2020). Behavioral and electrophysiological effects of network-based frontoparietal tDCS in patients with severe brain injury: A randomized controlled trial. NeuroImage Clinical. 28. 102426–102426. 35 indexed citations
15.
Dubreuil-Vall, Laura, Ana C. Villegas, Patricia Cirillo, et al.. (2020). Transcranial Direct Current Stimulation to the Left Dorsolateral Prefrontal Cortex Improves Cognitive Control in Patients With Attention-Deficit/Hyperactivity Disorder: A Randomized Behavioral and Neurophysiological Study. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 6(4). 439–448. 25 indexed citations
16.
Soria‐Frisch, Aureli, et al.. (2019). Characterization of the non-stationary nature of steady-state visual evoked potentials using echo state networks. PLoS ONE. 14(7). e0218771–e0218771. 11 indexed citations
17.
Sprugnoli, Giulia, Lucia Monti, Laura Lippa, et al.. (2019). Reduction of intratumoral brain perfusion by noninvasive transcranial electrical stimulation. Science Advances. 5(8). eaau9309–eaau9309. 12 indexed citations
18.
Martín-Puig, Cristina, et al.. (2008). SAR Altimetry Applications over Water. ESASP. 676. 12. 2 indexed citations
19.
Flores, Alejandro N., Giulio Ruffini, & A. Rius. (2000). 4D tropospheric tomography using GPS slant wet delays. Annales Geophysicae. 18(2). 223–234. 215 indexed citations
20.
Flores, Alejandro N., Giulio Ruffini, & A. Rius. (2000). 4D tropospheric tomography using GPS slant wet delays. Annales Geophysicae. 18(2). 223–234. 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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