Stefania Mattioni
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Social Psychology
- Developmental and Educational Psychology
- Human-Computer Interaction
- Co-authors
- Olivier CollignonMatthew R. LongoRoberto BottiniMohamed RezkNikolaas N. OosterhofMarkus J. van AckerenValeria OccelliJorge Jovicich
- Topics
- Visual perception and processing mechanisms (10 papers)Multisensory perception and integration (9 papers)Tactile and Sensory Interactions (5 papers)
- Partner nations
- BelgiumItalyUnited States
In The Last Decade
Stefania Mattioni
16 papers receiving 257 citations
Peers
Comparison fields: 5 of 39
- Cognitive Neuroscience 226
- Experimental and Cognitive Psychology 119
- Social Psychology 62
- Developmental and Educational Psychology 26
- Human-Computer Interaction 21
Countries citing papers authored by Stefania Mattioni
This map shows the geographic impact of Stefania Mattioni'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 Stefania Mattioni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefania Mattioni more than expected).
Fields of papers citing papers by Stefania Mattioni
This network shows the impact of papers produced by Stefania Mattioni. 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 Stefania Mattioni. The network helps show where Stefania Mattioni may publish in the future.
Co-authorship network of co-authors of Stefania Mattioni
This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Mattioni. A scholar is included among the top collaborators of Stefania Mattioni 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 Stefania Mattioni. Stefania Mattioni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 18 | |
| 8 | How does visual experience shape representations and transformations along the ventral stream | 2 |
| 9 | 22 | |
| 10 | 51 | |
| 11 | 20 | |
| 12 | 2 | |
| 13 | 31 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 27 | |
| 17 | 40 | |
| 18 | 24 |
About Stefania Mattioni
Stefania Mattioni is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Statistics and Probability, having authored 18 papers that have together received 258 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (10 papers), Multisensory perception and integration (9 papers) and Tactile and Sensory Interactions (5 papers). The work is most often cited by research in Cognitive Neuroscience (226 citations), Experimental and Cognitive Psychology (119 citations) and Human-Computer Interaction (21 citations). Stefania Mattioni has collaborated with scholars based in Belgium, Italy and United States. Frequent co-authors include Olivier Collignon, Matthew R. Longo, Roberto Bottini, Mohamed Rezk, Nikolaas N. Oosterhof, Markus J. van Ackeren, Valeria Occelli, Jorge Jovicich, Chiara Maffei and Valérie Goffaux. Their work appears in journals such as Nature Communications, Journal of Neuroscience and Current Biology.
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.