Elisabetta Ferrari

548 citations
27 papers · 385 indexed · h-index 12
Topics
Action Observation and Synchronization (10 papers)Motor Control and Adaptation (5 papers)Tactile and Sensory Interactions (4 papers)

In The Last Decade

Elisabetta Ferrari

25 papers receiving 378 citations

Peers

Elisabetta Ferrari
Comparison fields: 5 of 77
  • Cognitive Neuroscience 199
  • Social Psychology 103
  • Neurology 92
  • Biomedical Engineering 61
  • Experimental and Cognitive Psychology 49
Replace Yu Aramaki with:
Yu Aramaki Japan
Esther Kuehn Germany
Caroline Blanchard United Kingdom
Giuseppe A. Zito Switzerland
Francesca Fiori Italy
Monica Biggio Italy
Kristina A. Neely United States
Flamine Alary Canada
Stéphane Jacobs France
Selene Schintu United States
Elisabetta Ferrari relative to Yu Aramaki Japan Yu Aramaki's profile →
Citations per field
00.5×1.5×2.2×
Yu Aramaki · 1×
Citations per year

Countries citing papers authored by Elisabetta Ferrari

Since Specialization
Citations

This map shows the geographic impact of Elisabetta Ferrari'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 Elisabetta Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabetta Ferrari more than expected).

Fields of papers citing papers by Elisabetta Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elisabetta Ferrari. 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 Elisabetta Ferrari. The network helps show where Elisabetta Ferrari may publish in the future.

Co-authorship network of co-authors of Elisabetta Ferrari

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta Ferrari. A scholar is included among the top collaborators of Elisabetta Ferrari 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 Elisabetta Ferrari. Elisabetta Ferrari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 3
4 4
5 4
6 42
7 11
8 28
9 5
10 3
11 29
12 13
13 13
14 26
15 10
16 30
17 9
18 29
19 25
20 1

About Elisabetta Ferrari

Elisabetta Ferrari is a scholar working on Neurology, Cognitive Neuroscience and Social Psychology, having authored 27 papers that have together received 385 indexed citations. Recurring topics across this work include Action Observation and Synchronization (10 papers), Motor Control and Adaptation (5 papers) and Tactile and Sensory Interactions (4 papers). The work is most often cited by research in Neurology (92 citations), Cognitive Neuroscience (199 citations) and Social Psychology (103 citations). Elisabetta Ferrari has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Cosimo Urgesi, Alessandro D’Ausilio, Viola Oldrati, Renato Borgatti, Emma Hodson‐Tole, Neil D. Reeves, Luca Brayda, Glen Cooper, Luciano Fadiga and C. Paradiso. Their work appears in journals such as PLoS ONE, Scientific Reports and Philosophical Transactions of the Royal Society B Biological Sciences.

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.

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