Gabriele Arnulfo

2.2k total citations
43 papers, 1.4k citations indexed

About

Gabriele Arnulfo is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gabriele Arnulfo has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 10 papers in Neurology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gabriele Arnulfo's work include Neural dynamics and brain function (17 papers), EEG and Brain-Computer Interfaces (16 papers) and Functional Brain Connectivity Studies (14 papers). Gabriele Arnulfo is often cited by papers focused on Neural dynamics and brain function (17 papers), EEG and Brain-Computer Interfaces (16 papers) and Functional Brain Connectivity Studies (14 papers). Gabriele Arnulfo collaborates with scholars based in Italy, Finland and United Kingdom. Gabriele Arnulfo's co-authors include J. Matias Palva, Lino Nobili, Francesco Cardinale, Satu Palva, Giorgio Lo Russo, Laura Castana, Alessio Moscato, Giuseppe Casaceli, Dalila Fuschillo and Chiara Caborni and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Gabriele Arnulfo

40 papers receiving 1.4k citations

Peers

Gabriele Arnulfo
Demetrios N. Velis Netherlands
Peter N. Taylor United Kingdom
Giridhar P. Kalamangalam United States
Chiara Caborni Italy
Eugenio Abela Switzerland
Svetlana Kipervasser Israel
S. Clémenceau France
Jan Rémi Germany
Fahmida A Chowdhury United Kingdom
Ewan S. Nurse Australia
Demetrios N. Velis Netherlands
Gabriele Arnulfo
Citations per year, relative to Gabriele Arnulfo Gabriele Arnulfo (= 1×) peers Demetrios N. Velis

Countries citing papers authored by Gabriele Arnulfo

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Arnulfo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Arnulfo

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Arnulfo. A scholar is included among the top collaborators of Gabriele Arnulfo 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 Gabriele Arnulfo. Gabriele Arnulfo 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.
2.
Nobili, Lino, Steve A. Gibbs, Sheng H. Wang, et al.. (2025). Sleep-related epilepsy through the lens of stereo-EEG: Clinical and research update. Clinical Neurophysiology. 177. 2110811–2110811.
3.
Wang, Sheng H., Paul Ferrari, Gabriele Arnulfo, et al.. (2025). Toward Unified Biomarkers for Focal Epilepsy. Journal of Neuroscience. 46(1). e0879252025–e0879252025. 1 indexed citations
4.
Byun, Jung‐Ick, Jun‐Sang Sunwoo, Pietro Mattioli, et al.. (2024). EEG-based machine learning models for the prediction of phenoconversion time and subtype in isolated rapid eye movement sleep behavior disorder. SLEEP. 47(5). 12 indexed citations
5.
Wang, Sheng H., Gabriele Arnulfo, Lino Nobili, et al.. (2024). Neuronal synchrony and critical bistability: Mechanistic biomarkers for localizing the epileptogenic network. Epilepsia. 65(7). 2041–2053. 4 indexed citations
6.
Mora, Sara, Alessandro Consales, Laura Tassi, et al.. (2024). NLP-based tools for localization of the epileptogenic zone in patients with drug-resistant focal epilepsy. Scientific Reports. 14(1). 2349–2349. 4 indexed citations
7.
Williams, Nitin, Sheng H. Wang, Gabriele Arnulfo, et al.. (2023). Modules in connectomes of phase-synchronization comprise anatomically contiguous, functionally related regions. NeuroImage. 272. 120036–120036. 6 indexed citations
8.
Arnulfo, Gabriele, Domenico Tortora, Mariasavina Severino, et al.. (2023). Influence of adaptive denoising on Diffusion Kurtosis Imaging at 3T and 7T. Computer Methods and Programs in Biomedicine. 234. 107508–107508. 1 indexed citations
9.
Arnulfo, Gabriele, Domenico Tortora, Mariasavina Severino, et al.. (2023). Influence of Adaptive Denoising on Diffusion Kurtosis Imaging at 3T and 7T. SSRN Electronic Journal. 1 indexed citations
10.
Williams, Nitin, Felix Siebenhühner, Satu Palva, et al.. (2023). The influence of inter-regional delays in generating large-scale brain networks of phase synchronization. NeuroImage. 279. 120318–120318. 3 indexed citations
11.
Tortora, Domenico, Mariasavina Severino, Andrea Rossi, et al.. (2022). Diffusion Kurtosis Imaging of Neonatal Spinal Cord in Clinical Routine. SHILAP Revista de lepidopterología. 2. 794981–794981. 3 indexed citations
12.
Canessa, Andrea, Pietro Mattioli, Francesco Famà, et al.. (2021). Phase and amplitude electroencephalography correlations change with disease progression in people with idiopathic rapid eye-movement sleep behavior disorder. SLEEP. 45(1). 13 indexed citations
13.
Siebenhühner, Felix, Sheng H. Wang, Gabriele Arnulfo, et al.. (2020). Genuine cross-frequency coupling networks in human resting-state electrophysiological recordings. PLoS Biology. 18(5). e3000685–e3000685. 59 indexed citations
14.
Williams, Nitin, Gabriele Arnulfo, Sheng H. Wang, et al.. (2018). Comparison of Methods to Identify Modules in Noisy or Incomplete Brain Networks. Brain Connectivity. 9(2). 128–143. 7 indexed citations
15.
Cardinale, Francesco, Michele Rizzi, Piergiorgio d’Orio, et al.. (2017). A new tool for touch-free patient registration for robot-assisted intracranial surgery: application accuracy from a phantom study and a retrospective surgical series. Neurosurgical FOCUS. 42(5). E8–E8. 82 indexed citations
16.
Momi, Elena De, et al.. (2017). Retrospective evaluation and SEEG trajectory analysis for interactive multi-trajectory planner assistant. International Journal of Computer Assisted Radiology and Surgery. 12(10). 1727–1738. 19 indexed citations
17.
Pozzi, Nicoló Gabriele, Gabriele Arnulfo, Andrea Canessa, et al.. (2016). Distinctive neuronal firing patterns in subterritories of the subthalamic nucleus. Clinical Neurophysiology. 127(11). 3387–3393. 15 indexed citations
18.
Canessa, Andrea, Nicoló Gabriele Pozzi, Gabriele Arnulfo, et al.. (2016). Striatal Dopaminergic Innervation Regulates Subthalamic Beta-Oscillations and Cortical-Subcortical Coupling during Movements: Preliminary Evidence in Subjects with Parkinson’s Disease. Frontiers in Human Neuroscience. 10. 611–611. 43 indexed citations
19.
Arnulfo, Gabriele, J. Hirvonen, Lino Nobili, Satu Palva, & J. Matias Palva. (2015). Phase and amplitude correlations in resting-state activity in human stereotactical EEG recordings. NeuroImage. 112. 114–127. 71 indexed citations
20.
Arnulfo, Gabriele, Massimo Narizzano, Francesco Cardinale, Marco Fato, & J. Matias Palva. (2015). Automatic segmentation of deep intracerebral electrodes in computed tomography scans. BMC Bioinformatics. 16(1). 99–99. 42 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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