Viola Macchi Cassia
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 1%
- Developmental and Educational Psychology top 1%
- Computer Vision and Pattern Recognition top 2%
- Statistics and Probability top 1%
- Co-authors
- Francesca SimionChiara TuratiEloisa ValenzaCarlo UmiltàMaria Dolores de HeviaMarta PicozziDana KuefnerHermann Bulf
- Topics
- Face Recognition and Perception (45 papers)Evolutionary Psychology and Human Behavior (28 papers)Child and Animal Learning Development (23 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyDevelopmental and Educational Psychology
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Viola Macchi Cassia
75 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 89
- Cognitive Neuroscience 2.1k
- Experimental and Cognitive Psychology 1.2k
- Developmental and Educational Psychology 797
- Computer Vision and Pattern Recognition 610
- Statistics and Probability 450
Countries citing papers authored by Viola Macchi Cassia
This map shows the geographic impact of Viola Macchi Cassia'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 Viola Macchi Cassia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viola Macchi Cassia more than expected).
Fields of papers citing papers by Viola Macchi Cassia
This network shows the impact of papers produced by Viola Macchi Cassia. 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 Viola Macchi Cassia. The network helps show where Viola Macchi Cassia may publish in the future.
Co-authorship network of co-authors of Viola Macchi Cassia
This figure shows the co-authorship network connecting the top 25 collaborators of Viola Macchi Cassia. A scholar is included among the top collaborators of Viola Macchi Cassia 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 Viola Macchi Cassia. Viola Macchi Cassia 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 24 | |
| 13 | 18 | |
| 14 | 116 | |
| 15 | 19 | |
| 16 | 62 | |
| 17 | 72 | |
| 18 | 123 | |
| 19 | 37 | |
| 20 | 90 |
About Viola Macchi Cassia
Viola Macchi Cassia is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 80 papers that have together received 2.8k indexed citations. Recurring topics across this work include Face Recognition and Perception (45 papers), Evolutionary Psychology and Human Behavior (28 papers) and Child and Animal Learning Development (23 papers). The work is most often cited by research in Cognitive Neuroscience (2.1k citations), Experimental and Cognitive Psychology (1.2k citations) and Developmental and Educational Psychology (797 citations). Viola Macchi Cassia has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Francesca Simion, Chiara Turati, Eloisa Valenza, Carlo Umiltà, Maria Dolores de Hevia, Marta Picozzi, Dana Kuefner, Hermann Bulf, Luisa Girelli and Emanuela Bricolo. Their work appears in journals such as PLoS ONE, Child Development 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.