Giorgio Ganis
- Cognitive Neuroscience top 0.5%
- Social Psychology top 0.5%
- Experimental and Cognitive Psychology top 0.5%
- Developmental and Educational Psychology top 1%
- Automotive Engineering top 2%
- Co-authors
- Stephen M. KosslynWilliam L. ThompsonHaline E. SchendanMarta KutasJulian Paul KeenanMartin I. SerenoÁlvaro Pascual‐LeoneM. Kutas
- Topics
- Visual perception and processing mechanisms (18 papers)Face Recognition and Perception (16 papers)Neural and Behavioral Psychology Studies (16 papers)
- Journals
- ScienceSHILAP Revista de lepidopterologíaNature reviews. Neuroscience
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Giorgio Ganis
69 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Cognitive Neuroscience 4.1k
- Social Psychology 1.7k
- Experimental and Cognitive Psychology 1.6k
- Developmental and Educational Psychology 924
- Automotive Engineering 462
Countries citing papers authored by Giorgio Ganis
This map shows the geographic impact of Giorgio Ganis'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 Giorgio Ganis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Ganis more than expected).
Fields of papers citing papers by Giorgio Ganis
This network shows the impact of papers produced by Giorgio Ganis. 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 Giorgio Ganis. The network helps show where Giorgio Ganis may publish in the future.
Co-authorship network of co-authors of Giorgio Ganis
This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Ganis. A scholar is included among the top collaborators of Giorgio Ganis 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 Giorgio Ganis. Giorgio Ganis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 52 | |
| 3 | 16 | |
| 4 | 18 | |
| 5 | 44 | |
| 6 | 85 | |
| 7 | 9 | |
| 8 | 26 | |
| 9 | 14 | |
| 10 | 40 | |
| 11 | 89 | |
| 12 | 15 | |
| 13 | 4 | |
| 14 | 57 | |
| 15 | 18 | |
| 16 | 171 | |
| 17 | Brain areas underlying visual mental imagery and visual perception: an fMRI studybreakdown → | 513 |
| 18 | 276 | |
| 19 | Neural foundations of imagerybreakdown → | 1253 |
| 20 | DOUBLE DISSOCIATION AND ISOLABLE COGNITIVE-PROCESSES | 2 |
About Giorgio Ganis
Giorgio Ganis is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology, having authored 69 papers that have together received 5.9k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (18 papers), Face Recognition and Perception (16 papers) and Neural and Behavioral Psychology Studies (16 papers). The work is most often cited by research in Cognitive Neuroscience (4.1k citations), Experimental and Cognitive Psychology (1.6k citations) and Social Psychology (1.7k citations). Giorgio Ganis has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Stephen M. Kosslyn, William L. Thompson, Haline E. Schendan, Marta Kutas, Julian Paul Keenan, Martin I. Sereno, Álvaro Pascual‐Leone, M. Kutas, Nathaniel M. Alpert and Rogier Kievit. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and Nature reviews. Neuroscience.
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.