Nicolas Farrugia

954 total citations
19 papers, 608 citations indexed

About

Nicolas Farrugia is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Nicolas Farrugia has authored 19 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Social Psychology. Recurrent topics in Nicolas Farrugia's work include Neuroscience and Music Perception (11 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Nicolas Farrugia is often cited by papers focused on Neuroscience and Music Perception (11 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Nicolas Farrugia collaborates with scholars based in France, Germany and United Kingdom. Nicolas Farrugia's co-authors include Sonja A. Kotz, Charles-Étienne Benoit, Simone Dalla Bella, Hellmuth Obrig, Stefan Mainka, Michael Schwartze, Peter E. Keller, Eleanor Harding, Valentin Bégel and Laura Verga and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Nicolas Farrugia

18 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Farrugia France 8 490 136 116 90 86 19 608
Valentin Bégel France 12 373 0.8× 98 0.7× 88 0.8× 98 1.1× 44 0.5× 20 486
Thenille Braun Janzen Canada 10 329 0.7× 167 1.2× 48 0.4× 43 0.5× 94 1.1× 17 500
Stefan Mainka Germany 6 226 0.5× 97 0.7× 50 0.4× 41 0.5× 84 1.0× 15 328
Tomonori Kito Japan 7 612 1.2× 205 1.5× 153 1.3× 39 0.4× 24 0.3× 9 735
Bart Moens Belgium 15 343 0.7× 147 1.1× 36 0.3× 53 0.6× 64 0.7× 31 521
Donald J. O’Boyle United Kingdom 10 457 0.9× 65 0.5× 117 1.0× 33 0.4× 64 0.7× 13 666
Luisa Lopez Italy 14 429 0.9× 72 0.5× 74 0.6× 56 0.6× 56 0.7× 19 668
Claude-Alain Hauert Switzerland 17 833 1.7× 209 1.5× 175 1.5× 74 0.8× 13 0.2× 23 964
Luca F. Ticini Germany 13 664 1.4× 319 2.3× 129 1.1× 17 0.2× 11 0.1× 27 796
Matthias Witte Austria 17 782 1.6× 81 0.6× 77 0.7× 22 0.2× 9 0.1× 22 973

Countries citing papers authored by Nicolas Farrugia

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Farrugia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Farrugia

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

All Works

19 of 19 papers shown
2.
Maurel, Pierre, et al.. (2024). fMRIStroke: A preprocessing pipeline for fMRI Data fromStroke patients. The Journal of Open Source Software. 9(103). 6636–6636. 1 indexed citations
3.
Farrugia, Nicolas, et al.. (2024). Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds. SPIRE - Sciences Po Institutional REpository. 1282–1286.
4.
Bella, Simone Dalla, Stefan Janaqi, Charles-Étienne Benoit, et al.. (2024). Unravelling individual rhythmic abilities using machine learning. Scientific Reports. 14(1). 1135–1135. 8 indexed citations
5.
Farrugia, Nicolas, et al.. (2021). Beta and Theta Oscillations Correlate With Subjective Time During Musical Improvisation in Ecological and Controlled Settings: A Single Subject Study. Frontiers in Neuroscience. 15. 626723–626723. 7 indexed citations
6.
Bella, Simone Dalla, Charles-Étienne Benoit, Nicolas Farrugia, et al.. (2017). Gait improvement via rhythmic stimulation in Parkinson’s disease is linked to rhythmic skills. Scientific Reports. 7(1). 42005–42005. 123 indexed citations
7.
Bella, Simone Dalla, Nicolas Farrugia, Charles-Étienne Benoit, et al.. (2016). BAASTA: Battery for the Assessment of Auditory Sensorimotor and Timing Abilities. Behavior Research Methods. 49(3). 1128–1145. 108 indexed citations
8.
Farrugia, Nicolas, Kelly Jakubowski, Rhodri Cusack, & Lauren Stewart. (2015). Tunes stuck in your brain: The frequency and affective evaluation of involuntary musical imagery correlate with cortical structure. Consciousness and Cognition. 35. 66–77. 25 indexed citations
9.
Bella, Simone Dalla, Charles-Étienne Benoit, Nicolas Farrugia, Michael Schwartze, & Sonja A. Kotz. (2015). Effects of musically cued gait training in Parkinson's disease: beyond a motor benefit. Annals of the New York Academy of Sciences. 1337(1). 77–85. 110 indexed citations
10.
Derosière, Gérard, Nicolas Farrugia, Stéphane Perrey, Tomás Ward, & Kjerstin Torre. (2014). Expectations induced by natural-like temporal fluctuations are independent of attention decrement: Evidence from behavior and early visual evoked potentials. NeuroImage. 104. 278–286. 9 indexed citations
11.
Benoit, Charles-Étienne, Simone Dalla Bella, Nicolas Farrugia, et al.. (2014). Musically Cued Gait-Training Improves Both Perceptual and Motor Timing in Parkinson’s Disease. Frontiers in Human Neuroscience. 8. 494–494. 136 indexed citations
12.
Farrugia, Nicolas, Charles-Étienne Benoit, Michael Schwartze, et al.. (2014). Auditory Cueing in Parkinson's Disease: Effects on Temporal Processing and Spontaneous Theta Oscillations. Procedia - Social and Behavioral Sciences. 126. 104–105. 1 indexed citations
13.
Benoit, Charles-Étienne, Simone Dalla Bella, Nicolas Farrugia, Hellmuth Obrig, & Sonja A. Kotz. (2014). Non-gait Related Benefits of Auditory Cueing in Parkinson's Disease. Procedia - Social and Behavioral Sciences. 126. 210–211. 3 indexed citations
14.
Schwartze, Michael, Nicolas Farrugia, & Sonja A. Kotz. (2012). Dissociation of formal and temporal predictability in early auditory evoked potentials. Neuropsychologia. 51(2). 320–325. 52 indexed citations
15.
Farrugia, Nicolas, Charles-Étienne Benoit, Eleanor Harding, Sonja A. Kotz, & Simone Dalla Bella. (2012). BAASTA : Battery of assesment of auditory sensorimotor and timing abilities. MPG.PuRe (Max Planck Society). 7 indexed citations
16.
Bella, Simone Dalla, et al.. (2011). Lack of beat isochrony disrupts motor performance in a child drummer prodigy. SHILAP Revista de lepidopterología. 1. 19–19. 1 indexed citations
17.
Farrugia, Nicolas, Franck Mamalet, Sébastiên Roux, Fan Yang, & Michel Paindavoine. (2009). Fast and Robust Face Detection on a Parallel Optimized Architecture Implemented on FPGA. IEEE Transactions on Circuits and Systems for Video Technology. 19(4). 597–602. 4 indexed citations
18.
Farrugia, Nicolas, Franck Mamalet, Sébastiên Roux, Fan Yang, & Michel Paindavoine. (2008). Design of a Real-Time Face Detection Parallel Architecture Using High-Level Synthesis. EURASIP Journal on Embedded Systems. 2008(1). 938256–938256. 6 indexed citations
19.
Farrugia, Nicolas, et al.. (2007). A Parallel Face Detection System Implemented on FPGA. 59. 3704–3707. 6 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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