Giovanni Galfano

3.4k citations
71 papers · 2.3k indexed · h-index 27

Giovanni Galfano

69 papers receiving 2.2k citations

Peers

Giovanni Galfano
Comparison fields: 5 of 111
  • Cognitive Neuroscience 1.9k
  • Experimental and Cognitive Psychology 733
  • Statistics and Probability 308
  • Sensory Systems 133
  • Human-Computer Interaction 121
Replace Anna Grabowska with:
Anna Grabowska Poland
Massimo Turatto Italy
Yaoda Xu United States
Roberto Dell’Acqua Italy
Klaus Kessler United Kingdom
Jelena Ristic Canada
Emanuela Bricolo Italy
Lourdes Anllo‐Vento United States
Daniël Schreij Netherlands
Paola Binda Italy
Giovanni Galfano relative to Anna Grabowska Poland Anna Grabowska's profile →
Citations per field
00.5×2.8×
Anna Grabowska · 1×
Citations per year

Countries citing papers authored by Giovanni Galfano

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Galfano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Giovanni Galfano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Giovanni Galfano Line = papers co-authored together Giovanni Galfano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20232
4 20235
5 202111
6 202025
7 20195
8 201611
9 201597
10 20141
11 201454
12 201038
13 20082
14 20075
15 200634
16 20052
17 200453
18 200456
19 200267
20 2000148

About Giovanni Galfano

Giovanni Galfano is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Statistics and Probability, having authored 71 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (31 papers), Face Recognition and Perception (30 papers), Visual perception and processing mechanisms (26 papers), Psychology of Moral and Emotional Judgment (12 papers), Evolutionary Psychology and Human Behavior (11 papers), Multisensory perception and integration (10 papers), Cognitive and developmental aspects of mathematical skills (7 papers) and Reading and Literacy Development (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Experimental and Cognitive Psychology (733 citations) and Statistics and Probability (308 citations). Giovanni Galfano has collaborated with scholars based in Italy, China and United States. Frequent co-authors include Luigi Castelli, Mario Dalmaso, Massimo Turatto, Carlo Umiltà, Elena Rusconi, Giulia Pavan, Barbara Penolazzi, Francesco Benso, Davide Francesco Stramaccia and Elena Betta. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

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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