Vincenzo Romei

7.6k total citations · 1 hit paper
107 papers, 5.3k citations indexed

About

Vincenzo Romei is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Neurology. According to data from OpenAlex, Vincenzo Romei has authored 107 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Cognitive Neuroscience, 34 papers in Experimental and Cognitive Psychology and 25 papers in Neurology. Recurrent topics in Vincenzo Romei's work include Neural dynamics and brain function (48 papers), Multisensory perception and integration (33 papers) and Visual perception and processing mechanisms (32 papers). Vincenzo Romei is often cited by papers focused on Neural dynamics and brain function (48 papers), Multisensory perception and integration (33 papers) and Visual perception and processing mechanisms (32 papers). Vincenzo Romei collaborates with scholars based in Italy, United Kingdom and Spain. Vincenzo Romei's co-authors include Gregor Thut, Micah M. Murray, Verena Brodbeck, Joachim Groß, Philippe G. Schyns, Roberto Cecere, Céline Cappe, Geraint Rees, Amir Amedi and Christoph M. Michel and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Vincenzo Romei

104 papers receiving 5.3k citations

Hit Papers

Spontaneous Fluctuations ... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincenzo Romei Italy 35 4.5k 1.4k 1.1k 670 496 107 5.3k
Roi Cohen Kadosh United Kingdom 48 4.9k 1.1× 1.4k 1.0× 2.1k 1.9× 441 0.7× 559 1.1× 162 7.5k
Gregg H. Recanzone United States 35 4.0k 0.9× 1.4k 1.0× 468 0.4× 804 1.2× 681 1.4× 64 4.8k
Joel L. Voss United States 41 4.1k 0.9× 742 0.5× 738 0.7× 348 0.5× 635 1.3× 109 5.4k
Tony Ro United States 40 4.3k 0.9× 1.0k 0.7× 521 0.5× 291 0.4× 313 0.6× 98 5.0k
Neil G. Muggleton United Kingdom 36 3.4k 0.8× 534 0.4× 1.5k 1.3× 297 0.4× 220 0.4× 109 4.4k
Emily S. Kappenman United States 27 4.4k 1.0× 1.4k 1.0× 1.1k 1.0× 167 0.2× 444 0.9× 43 5.9k
Vincent Walsh United Kingdom 39 3.9k 0.9× 669 0.5× 1.6k 1.4× 216 0.3× 401 0.8× 82 4.8k
Francesco Di Russo Italy 44 6.2k 1.4× 1.5k 1.1× 355 0.3× 437 0.7× 364 0.7× 157 7.5k
Martin Meyer Switzerland 45 5.4k 1.2× 1.9k 1.4× 573 0.5× 661 1.0× 157 0.3× 153 6.4k
Nathan Weisz Germany 45 5.0k 1.1× 1.2k 0.9× 2.0k 1.8× 2.9k 4.3× 376 0.8× 140 6.1k

Countries citing papers authored by Vincenzo Romei

Since Specialization
Citations

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

Fields of papers citing papers by Vincenzo Romei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincenzo Romei

This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Romei. A scholar is included among the top collaborators of Vincenzo Romei 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 Vincenzo Romei. Vincenzo Romei 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
2.
Gregorio, Francesco Di, Giada Lullini, Silvia Orlandi, et al.. (2025). Clinical and neurophysiological predictors of the functional outcome in right-hemisphere stroke. NeuroImage. 308. 121059–121059. 1 indexed citations
3.
Tarasi, Luca, et al.. (2025). Prior Information Shapes Perceptual Confidence. Journal of Cognition. 8(1). 11–11. 4 indexed citations
4.
Tarasi, Luca, et al.. (2025). Oscillatory signatures of monitoring and anticipatory strategies for probabilistic vs deterministic cues. Imaging Neuroscience. 3. 2 indexed citations
5.
Trajkovic, Jelena, Giulia Ricci, Luca Tarasi, et al.. (2025). Aberrant Functional Connectivity and Brain Network Organization in High-Schizotypy Individuals: An Electroencephalography Study. Schizophrenia Bulletin. 51(5). 1266–1281. 2 indexed citations
6.
Tarasi, Luca, Andrea Alamia, & Vincenzo Romei. (2025). Perceptual Bias in Motion Discrimination is Related to Asymmetric Interhemispheric Alpha Traveling Waves. Advanced Science. 12(41). e14623–e14623. 2 indexed citations
7.
Trajkovic, Jelena, Alexander T. Sack, & Vincenzo Romei. (2024). EEG-based biomarkers predict individual differences in TMS-induced entrainment of intrinsic brain rhythms. Brain stimulation. 17(2). 224–232. 7 indexed citations
8.
Tarasi, Luca, Sonia Turrini, Alejandra Sel, Alessio Avenanti, & Vincenzo Romei. (2024). Cortico-cortical paired-associative stimulation to investigate the plasticity of cortico-cortical visual networks in humans. Current Opinion in Behavioral Sciences. 56. 101359–101359. 10 indexed citations
9.
Trajkovic, Jelena, Francesco Di Gregorio, Gregor Thut, & Vincenzo Romei. (2024). Transcranial magnetic stimulation effects support an oscillatory model of ERP genesis. Current Biology. 34(5). 1048–1058.e4. 11 indexed citations
10.
Valentini, Elia, Sebastian Halder, & Vincenzo Romei. (2024). The independence and predictivity of resting pain-free slow alpha frequency as a biomarker of pain: A reply to Mazaheri et al.. NeuroImage. 296. 120681–120681. 1 indexed citations
11.
Samaha, Jason & Vincenzo Romei. (2023). Alpha-Band Frequency and Temporal Windows in Perception: A Review and Living Meta-analysis of 27 Experiments (and Counting). Journal of Cognitive Neuroscience. 36(4). 640–654. 13 indexed citations
12.
Tarasi, Luca, et al.. (2023). Rhythmic TMS as a Feasible Tool to Uncover the Oscillatory Signatures of Audiovisual Integration. Biomedicines. 11(6). 1746–1746. 5 indexed citations
13.
Romei, Vincenzo, et al.. (2023). Electrophysiological and Behavioral Effects of Alpha-Band Sensory Entrainment: Neural Mechanisms and Clinical Applications. Biomedicines. 11(5). 1399–1399. 8 indexed citations
14.
O’Hare, Louise, et al.. (2023). Excitation-Inhibition Imbalance in Migraine: From Neurotransmitters to Brain Oscillations. International Journal of Molecular Sciences. 24(12). 10093–10093. 17 indexed citations
15.
Turrini, Sonia, Emilio Chiappini, Francesca Fiori, et al.. (2023). Neurophysiological Markers of Premotor–Motor Network Plasticity Predict Motor Performance in Young and Older Adults. Biomedicines. 11(5). 1464–1464. 16 indexed citations
16.
18.
Cappe, Céline, Antonia Thelen, Vincenzo Romei, Gregor Thut, & Micah M. Murray. (2012). Looming Signals Reveal Synergistic Principles of Multisensory Integration. Journal of Neuroscience. 32(4). 1171–1182. 90 indexed citations
19.
Cappe, Céline, Gregor Thut, Vincenzo Romei, & Micah M. Murray. (2010). Auditory–Visual Multisensory Interactions in Humans: Timing, Topography, Directionality, and Sources. Journal of Neuroscience. 30(38). 12572–12580. 115 indexed citations
20.
Romei, Vincenzo, Micah M. Murray, Lotfi B. Merabet, & Gregor Thut. (2007). Occipital Transcranial Magnetic Stimulation Has Opposing Effects on Visual and Auditory Stimulus Detection: Implications for Multisensory Interactions. Journal of Neuroscience. 27(43). 11465–11472. 138 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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