Angelo Cangelosi

216 papers and 3.9k indexed citations i.

About

Angelo Cangelosi is a scholar working on Social Psychology, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Angelo Cangelosi has authored 216 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Social Psychology, 67 papers in Artificial Intelligence and 60 papers in Cognitive Neuroscience. Recurrent topics in Angelo Cangelosi’s work include Child and Animal Learning Development (42 papers), Language and cultural evolution (40 papers) and Action Observation and Synchronization (35 papers). Angelo Cangelosi is often cited by papers focused on Child and Animal Learning Development (42 papers), Language and cultural evolution (40 papers) and Action Observation and Synchronization (35 papers). Angelo Cangelosi collaborates with scholars based in United Kingdom, Italy and China. Angelo Cangelosi's co-authors include Domenico Parisi, Massimiliano Patacchiola, Matthew Schlesinger, Martin H. Fischer, Eduardo Coutinho, Stevan Harnad, Stefano Nolfi, ‎Davide Marocco, Rob Ellis and Tony Belpaeme and has published in prestigious journals such as PLoS ONE, Scientific Reports and Psychological Science.

In The Last Decade

Co-authorship network of co-authors of Angelo Cangelosi i

Fields of papers citing papers by Angelo Cangelosi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Angelo Cangelosi

Since Specialization
Citations

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

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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2025