Elisabetta Ambron

45 total papers · 517 total citations
35 papers, 349 citations indexed

About

Elisabetta Ambron is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Elisabetta Ambron has authored 35 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 14 papers in Social Psychology and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Elisabetta Ambron's work include Action Observation and Synchronization (13 papers), Neural and Behavioral Psychology Studies (13 papers) and Motor Control and Adaptation (11 papers). Elisabetta Ambron is often cited by papers focused on Action Observation and Synchronization (13 papers), Neural and Behavioral Psychology Studies (13 papers) and Motor Control and Adaptation (11 papers). Elisabetta Ambron collaborates with scholars based in United States, Italy and United Kingdom. Elisabetta Ambron's co-authors include Sergio Della Sala, Robert D. McIntosh, H. Branch Coslett, Francesco Foroni, Raffaella I. Rumiati, Alexander L. Miller, Laurel J. Buxbaum, Katherine J. Kuchenbecker, Elena Gherri and Angelika Lingnau and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Elisabetta Ambron

34 papers receiving 345 citations

Author Peers

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

Author Last Decade Papers Cites
Elisabetta Ambron 202 83 58 52 42 35 349
Satoshi Nobusako 184 0.9× 64 0.8× 93 1.6× 36 0.7× 40 1.0× 37 342
Shu Imaizumi 213 1.1× 92 1.1× 95 1.6× 22 0.4× 33 0.8× 32 332
Polona Pozeg 143 0.7× 127 1.5× 81 1.4× 45 0.9× 117 2.8× 13 360
Alessia Gallucci 121 0.6× 31 0.4× 77 1.3× 47 0.9× 45 1.1× 22 354
Valeria Bellan 148 0.7× 36 0.4× 49 0.8× 24 0.5× 53 1.3× 18 306
Caroline Blanchard 202 1.0× 91 1.1× 28 0.5× 33 0.6× 66 1.6× 19 402
Erick H. Pasaye 183 0.9× 95 1.1× 75 1.3× 44 0.8× 11 0.3× 23 387
Marie Chancel 225 1.1× 152 1.8× 55 0.9× 28 0.5× 160 3.8× 20 353
Masaharu Maruishi 155 0.8× 25 0.3× 63 1.1× 27 0.5× 18 0.4× 31 396
Cristina Russo 125 0.6× 26 0.3× 51 0.9× 169 3.3× 22 0.5× 17 356

Countries citing papers authored by Elisabetta Ambron

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Ambron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Ambron

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta Ambron. A scholar is included among the top collaborators of Elisabetta Ambron 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 Ambron. Elisabetta Ambron 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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