Inês R. Violante

2.6k total citations · 1 hit paper
66 papers, 1.4k citations indexed

About

Inês R. Violante is a scholar working on Cognitive Neuroscience, Neurology and Neurology. According to data from OpenAlex, Inês R. Violante has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cognitive Neuroscience, 16 papers in Neurology and 13 papers in Neurology. Recurrent topics in Inês R. Violante's work include EEG and Brain-Computer Interfaces (24 papers), Functional Brain Connectivity Studies (22 papers) and Neural dynamics and brain function (21 papers). Inês R. Violante is often cited by papers focused on EEG and Brain-Computer Interfaces (24 papers), Functional Brain Connectivity Studies (22 papers) and Neural dynamics and brain function (21 papers). Inês R. Violante collaborates with scholars based in United Kingdom, Portugal and United States. Inês R. Violante's co-authors include Adam Hampshire, Robert Leech, Miguel Castelo‐Branco, Romy Lorenz, David W. Carmichael, David Sharp, Lucia M. Li, Maria José Ribeiro, John C. Rothwell and Inês Bernardino and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Inês R. Violante

61 papers receiving 1.4k citations

Hit Papers

Non-invasive temporal interference electrical stimulation... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inês R. Violante United Kingdom 23 854 413 323 288 158 66 1.4k
Marine Vernet France 21 968 1.1× 729 1.8× 146 0.5× 230 0.8× 92 0.6× 78 1.8k
Bernardo Perfetti Italy 17 721 0.8× 308 0.7× 589 1.8× 264 0.9× 57 0.4× 29 1.5k
Anli Liu United States 19 1.0k 1.2× 693 1.7× 211 0.7× 453 1.6× 47 0.3× 51 1.7k
Ashwini Oswal United Kingdom 19 951 1.1× 159 0.4× 858 2.7× 649 2.3× 90 0.6× 40 1.9k
Theodor Rüber Germany 18 542 0.6× 239 0.6× 220 0.7× 152 0.5× 63 0.4× 67 1.3k
Brian C. Coe Canada 19 914 1.1× 233 0.6× 218 0.7× 363 1.3× 36 0.2× 48 1.7k
Domenica Veniero Italy 25 2.0k 2.4× 1.2k 3.0× 213 0.7× 310 1.1× 112 0.7× 46 2.5k
Shugo Suwazono Japan 13 918 1.1× 186 0.5× 169 0.5× 134 0.5× 34 0.2× 49 1.2k
Wolfgang Heide Germany 23 851 1.0× 282 0.7× 171 0.5× 215 0.7× 71 0.4× 42 1.3k

Countries citing papers authored by Inês R. Violante

Since Specialization
Citations

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

Fields of papers citing papers by Inês R. Violante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inês R. Violante. 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 Inês R. Violante. The network helps show where Inês R. Violante may publish in the future.

Co-authorship network of co-authors of Inês R. Violante

This figure shows the co-authorship network connecting the top 25 collaborators of Inês R. Violante. A scholar is included among the top collaborators of Inês R. Violante 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 Inês R. Violante. Inês R. Violante 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
1.
Yu, Hongjie, Sridhar Krishnan, Abhishek Datta, et al.. (2025). Human applications of transcranial temporal interference stimulation: A systematic review. Brain stimulation. 18(6). 2054–2066.
2.
3.
Olgiati, Elena, Inês R. Violante, Lucia M. Li, et al.. (2024). Targeted non-invasive brain stimulation boosts attention and modulates contralesional brain networks following right hemisphere stroke. NeuroImage Clinical. 42. 103599–103599. 1 indexed citations
4.
Violante, Inês R., et al.. (2024). Audio-visual multisensory integration and haptic perception are altered in adults with developmental coordination disorder. Human Movement Science. 93. 103180–103180. 3 indexed citations
5.
Jaramillo, Valeria, et al.. (2024). A closed-loop auditory stimulation approach selectively modulates alpha oscillations and sleep onset dynamics in humans. PLoS Biology. 22(6). e3002651–e3002651. 4 indexed citations
6.
Violante, Inês R.. (2023). Non-invasive temporal interference electrical stimulation of the human hippocampus. Brain stimulation. 16(1). 122–122. 2 indexed citations
7.
Violante, Inês R., et al.. (2023). Non‐Invasive Temporal Interference Hippocampal Stimulation in Early Alzheimer’s Disease. Alzheimer s & Dementia. 19(S21). 2 indexed citations
8.
Kurtin, Danielle L., Valentina Giunchiglia, Jakub Vohryzek, et al.. (2023). Moving from phenomenological to predictive modelling: Progress and pitfalls of modelling brain stimulation in-silico. NeuroImage. 272. 120042–120042. 15 indexed citations
9.
10.
Soleimani, Ghazaleh, Michael A. Nitsche, Til Ole Bergmann, et al.. (2023). Closing the loop between brain and electrical stimulation: towards precision neuromodulation treatments. Translational Psychiatry. 13(1). 279–279. 41 indexed citations
11.
Kurtin, Danielle L., et al.. (2023). Task-based differences in brain state dynamics and their relation to cognitive ability. NeuroImage. 271. 119945–119945. 7 indexed citations
12.
Violante, Inês R., et al.. (2020). Patterns of Focal- and Large-Scale Synchronization in Cognitive Control and Inhibition: A Review. Frontiers in Human Neuroscience. 14. 196–196. 11 indexed citations
13.
Violante, Inês R., et al.. (2020). The neurometabolic profiles of GABA and Glutamate as revealed by proton magnetic resonance spectroscopy in type 1 and type 2 diabetes. PLoS ONE. 15(10). e0240907–e0240907. 24 indexed citations
14.
Lorenz, Romy, et al.. (2019). Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization. Brain stimulation. 12(6). 1484–1489. 43 indexed citations
15.
Lorenz, Romy, Inês R. Violante, Ricardo Pio Monti, et al.. (2018). Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization. Nature Communications. 9(1). 1227–1227. 41 indexed citations
16.
Violante, Inês R., Lucia M. Li, David W. Carmichael, et al.. (2017). Externally induced frontoparietal synchronization modulates network dynamics and enhances working memory performance. eLife. 6. 164 indexed citations
17.
Sliwinska, Magdalena W., Inês R. Violante, Richard G. Wise, et al.. (2017). Stimulating Multiple-Demand Cortex Enhances Vocabulary Learning. Journal of Neuroscience. 37(32). 7606–7618. 46 indexed citations
18.
Violante, Inês R., Maria José Ribeiro, Eduardo Silva, & Miguel Castelo‐Branco. (2013). Gyrification, cortical and subcortical morphometry in neurofibromatosis type 1: an uneven profile of developmental abnormalities. Journal of Neurodevelopmental Disorders. 5(1). 3–3. 38 indexed citations
19.
Duarte, João Valente, et al.. (2012). Multivariate pattern analysis reveals subtle brain anomalies relevant to the cognitive phenotype in neurofibromatosis type 1. Human Brain Mapping. 35(1). 89–106. 35 indexed citations
20.
Rodrigues, Tiago B., Inês R. Violante, Fátima Cruz, et al.. (2007). Kinetic properties of the redox switch/redox coupling mechanism as determined in primary cultures of cortical neurons and astrocytes from rat brain. Journal of Neuroscience Research. 85(15). 3244–3253. 24 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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