Nicolas Farrugia

671 total citations
24 papers, 212 citations indexed

About

Nicolas Farrugia is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Nicolas Farrugia has authored 24 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 6 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Nicolas Farrugia's work include Functional Brain Connectivity Studies (6 papers), Neuroscience and Music Perception (6 papers) and Neural dynamics and brain function (4 papers). Nicolas Farrugia is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Neuroscience and Music Perception (6 papers) and Neural dynamics and brain function (4 papers). Nicolas Farrugia collaborates with scholars based in France, Canada and United Kingdom. Nicolas Farrugia's co-authors include Simone Dalla Bella, Fabia Franco, Kelly Jakubowski, Lauren Stewart, A. Brahim, Andrea R. Halpern, Sandra Chanraud, Pierre Bellec, Yu Zhang and Romain Serizel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Memory & Cognition.

In The Last Decade

Nicolas Farrugia

21 papers receiving 210 citations

Peers

Nicolas Farrugia
Comparison fields: 5 of 55
  • Cognitive Neuroscience 163
  • Developmental and Educational Psychology 45
  • Social Psychology 34
  • Music 34
  • Experimental and Cognitive Psychology 30
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Citations per field, relative to Nicolas Farrugia
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Citations per year, relative to Nicolas Farrugia
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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

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 2
5 6
6 1
7 5
8 1
9 0
10 1
11 9
12 15
13 10
14 23
15 69
16 3
17 13
18
INCREMENTAL LEARNING WITH PRE-TRAINED CONVOLUTIONAL NEURAL NETWORKS AND BINARY ASSOCIATIVE MEMORIES
1
19 26
20
Capturing the speed of music in our heads: Developing methods for measuring the tempo of musical imagery
1

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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