Pasquale Anselmi

75 papers and 909 indexed citations i.

About

Pasquale Anselmi is a scholar working on Artificial Intelligence, Sociology and Political Science and Clinical Psychology. According to data from OpenAlex, Pasquale Anselmi has authored 75 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Sociology and Political Science and 15 papers in Clinical Psychology. Recurrent topics in Pasquale Anselmi’s work include Intelligent Tutoring Systems and Adaptive Learning (19 papers), Social and Intergroup Psychology (9 papers) and Bayesian Modeling and Causal Inference (8 papers). Pasquale Anselmi is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (19 papers), Social and Intergroup Psychology (9 papers) and Bayesian Modeling and Causal Inference (8 papers). Pasquale Anselmi collaborates with scholars based in Italy, Germany and United States. Pasquale Anselmi's co-authors include Egidio Robusto, Luca Stefanutti, Michelangelo Vianello, Daiana Colledani, Jürgen Heller, Anna Dalla Rosa, Giulio Vidotto, Lisa Fellin, Elisa Maria Galliani and Giorgio Bertolotti and has published in prestigious journals such as PLoS ONE, Scientific Reports and Personality and Individual Differences.

In The Last Decade

Co-authorship network of co-authors of Pasquale Anselmi i

Fields of papers citing papers by Pasquale Anselmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pasquale Anselmi

Since Specialization
Citations

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