Irene Senna

69 total papers · 859 total citations
28 papers, 611 citations indexed

About

Irene Senna is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Irene Senna has authored 28 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 11 papers in Social Psychology and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Irene Senna's work include Visual perception and processing mechanisms (12 papers), Action Observation and Synchronization (11 papers) and Multisensory perception and integration (9 papers). Irene Senna is often cited by papers focused on Visual perception and processing mechanisms (12 papers), Action Observation and Synchronization (11 papers) and Multisensory perception and integration (9 papers). Irene Senna collaborates with scholars based in Italy, Germany and United Kingdom. Irene Senna's co-authors include Nadia Bolognini, Angelo Maravita, Marc O. Ernst, Cesare Parise, Felix Hülsmann, Chiara Turati, Mario Botsch, Maria Concetta Pellicciari, Cristina Cacciari and Costanza Papagno and has published in prestigious journals such as PLoS ONE, NeuroImage and Child Development.

In The Last Decade

Irene Senna

25 papers receiving 601 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Irene Senna 390 231 188 112 101 28 611
Julien Barra 356 0.9× 132 0.6× 76 0.4× 90 0.8× 49 0.5× 25 645
Nicco Reggente 324 0.8× 65 0.3× 131 0.7× 40 0.4× 38 0.4× 35 586
Louisa Dahmani 323 0.8× 67 0.3× 111 0.6× 47 0.4× 59 0.6× 23 693
Valentina Bruno 334 0.9× 216 0.9× 101 0.5× 185 1.7× 34 0.3× 41 521
Michał Wierzchoń 567 1.5× 74 0.3× 121 0.6× 67 0.6× 57 0.6× 56 693
Piotr Francuz 320 0.8× 132 0.6× 89 0.5× 68 0.6× 34 0.3× 50 538
Bettina Olk 558 1.4× 50 0.2× 94 0.5× 51 0.5× 30 0.3× 43 685
Adrian Alsmith 315 0.8× 240 1.0× 95 0.5× 208 1.9× 30 0.3× 17 526
Liana E. Brown 517 1.3× 235 1.0× 48 0.3× 50 0.4× 95 0.9× 26 586
Simone Pernigo 434 1.1× 207 0.9× 87 0.5× 54 0.5× 32 0.3× 13 577

Countries citing papers authored by Irene Senna

Since Specialization
Citations

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

Fields of papers citing papers by Irene Senna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irene Senna

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

All Works

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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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