Giovanni Galfano
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 1%
- Social Psychology top 5%
- Statistics and Probability top 1%
- Developmental and Educational Psychology top 5%
- Co-authors
- Luigi CastelliMario DalmasoMassimo TurattoCarlo UmiltàElena RusconiGiulia PavanBarbara PenolazziFrancesco Benso
- Topics
- Neural and Behavioral Psychology Studies (31 papers)Face Recognition and Perception (30 papers)Visual perception and processing mechanisms (26 papers)
- Partner nations
- ItalyChinaUnited States
In The Last Decade
Giovanni Galfano
69 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 111
- Cognitive Neuroscience 1.9k
- Experimental and Cognitive Psychology 733
- Social Psychology 410
- Statistics and Probability 308
- Developmental and Educational Psychology 275
Countries citing papers authored by Giovanni Galfano
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
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 of co-authors of Giovanni Galfano
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Galfano. A scholar is included among the top collaborators of Giovanni Galfano 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 Giovanni Galfano. Giovanni Galfano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 25 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 97 | |
| 10 | 1 | |
| 11 | 54 | |
| 12 | 38 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 34 | |
| 16 | 2 | |
| 17 | 53 | |
| 18 | 56 | |
| 19 | 67 | |
| 20 | 148 |
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) and Visual perception and processing mechanisms (26 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.