Rosa Lafer-Sousa
- Cognitive Neuroscience top 5%
- Social Psychology top 10%
- Experimental and Cognitive Psychology top 10%
- Atomic and Molecular Physics, and Optics
- Sensory Systems top 10%
- Co-authors
- Bevil R. ConwayNancy KanwisherGerwin SchalkZeynep M. SayginHiroshi OgawaKyousuke KamadaChristoph GugerChristoph Kapeller
- Topics
- Visual perception and processing mechanisms (12 papers)Neural dynamics and brain function (7 papers)Color perception and design (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesAustriaIran
In The Last Decade
Rosa Lafer-Sousa
15 papers receiving 565 citations
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 503
- Social Psychology 135
- Experimental and Cognitive Psychology 111
- Atomic and Molecular Physics, and Optics 65
- Sensory Systems 57
Countries citing papers authored by Rosa Lafer-Sousa
This map shows the geographic impact of Rosa Lafer-Sousa'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 Rosa Lafer-Sousa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Lafer-Sousa more than expected).
Fields of papers citing papers by Rosa Lafer-Sousa
This network shows the impact of papers produced by Rosa Lafer-Sousa. 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 Rosa Lafer-Sousa. The network helps show where Rosa Lafer-Sousa may publish in the future.
Co-authorship network of co-authors of Rosa Lafer-Sousa
This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Lafer-Sousa. A scholar is included among the top collaborators of Rosa Lafer-Sousa 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 Rosa Lafer-Sousa. Rosa Lafer-Sousa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 83 | |
| 6 | 23 | |
| 7 | 130 | |
| 8 | 27 | |
| 9 | 2 | |
| 10 | 176 | |
| 11 | 24 | |
| 12 | 30 | |
| 13 | 30 | |
| 14 | 11 | |
| 15 | Vision and art: an interdisciplinary approach to neuroscience education. | 8 |
About Rosa Lafer-Sousa
Rosa Lafer-Sousa is a scholar working on Cognitive Neuroscience, Sensory Systems and Social Psychology, having authored 15 papers that have together received 580 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (12 papers), Neural dynamics and brain function (7 papers) and Color perception and design (5 papers). The work is most often cited by research in Cognitive Neuroscience (503 citations), Sensory Systems (57 citations) and Experimental and Cognitive Psychology (111 citations). Rosa Lafer-Sousa has collaborated with scholars based in United States, Austria and Iran. Frequent co-authors include Bevil R. Conway, Nancy Kanwisher, Gerwin Schalk, Zeynep M. Saygin, Hiroshi Ogawa, Kyousuke Kamada, Christoph Guger, Christoph Kapeller, Arash Afraz and Michael Wiest. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of 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.