Pasquale Anselmi

2.6k total citations
89 papers, 1.1k citations indexed

About

Pasquale Anselmi is a scholar working on Artificial Intelligence, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Pasquale Anselmi has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 18 papers in Sociology and Political Science and 16 papers in Social Psychology. Recurrent topics in Pasquale Anselmi's work include Intelligent Tutoring Systems and Adaptive Learning (20 papers), Social and Intergroup Psychology (11 papers) and Bayesian Modeling and Causal Inference (8 papers). Pasquale Anselmi is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (20 papers), Social and Intergroup Psychology (11 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, Daiana Colledani, Michelangelo Vianello, Debora de Chiusole, Anna Dalla Rosa, Jürgen Heller, Giulio Vidotto, Valeria Ugazio and Lisa Fellin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Pasquale Anselmi

79 papers receiving 1.1k citations

Peers

Pasquale Anselmi
Yin Leng Theng Singapore
Samuel W. K. Chan Hong Kong
Andrea Spoto Italy
Tao Xin China
Reeva Lederman Australia
Yuyin Wang China
Minjeong Jeon United States
Stuart E. Wugalter United States
Terrence D. Jorgensen Netherlands
Kim De Roover Netherlands
Yin Leng Theng Singapore
Pasquale Anselmi
Citations per year, relative to Pasquale Anselmi Pasquale Anselmi (= 1×) peers Yin Leng Theng

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).

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.

Co-authorship network of co-authors of Pasquale Anselmi

This figure shows the co-authorship network connecting the top 25 collaborators of Pasquale Anselmi. A scholar is included among the top collaborators of Pasquale Anselmi 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 Pasquale Anselmi. Pasquale Anselmi 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
1.
Anselmi, Pasquale, et al.. (2025). Automatic Generation of Rule-Based Raven-Like Matrices in R: The matRiks Package. Applied Psychological Measurement. 50(3). 148–149.
2.
Anselmi, Pasquale, et al.. (2025). implicitMeasures: An R Package for Scoring the Implicit Association Test and the Single-Category Implicit Association Test. Applied Psychological Measurement. 50(1-2). 58–59.
3.
Stefanutti, Luca, Pasquale Anselmi, Debora de Chiusole, Andrea Spoto, & Jürgen Heller. (2025). The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma. Psychometrika. 90(2). 717–733. 1 indexed citations
4.
Chiusole, Debora de, Pasquale Anselmi, Noemi Mazzoni, et al.. (2025). Multi-method validation of the new computerized test of fluid intelligence MatriKS. Iris (University of Trento).
5.
Colledani, Daiana, et al.. (2024). Investigating the Functioning of Rating Scales With Rasch Models. Assessment. 32(3). 434–446.
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8.
Colledani, Daiana, Pasquale Anselmi, & Egidio Robusto. (2023). Development of a scale for capturing psychological aspects of physical–digital integration: relationships with psychosocial functioning and facial emotion recognition. AI & Society. 39(4). 1707–1719. 3 indexed citations
9.
Balboni, Giulia, Pasquale Anselmi, Paola Brovedani, et al.. (2022). Italian Diagnostic Adaptive Behavior Scale: Reliability and diagnostic accuracy compared with the Vineland-II. Research in Developmental Disabilities. 123. 104185–104185. 1 indexed citations
10.
Anselmi, Pasquale, et al.. (2022). Filling the gap between implicit associations and behavior: A linear mixed-effects Rasch analysis of the Implicit Association Test. Methodology. 18(3). 185–202. 1 indexed citations
11.
Anselmi, Pasquale, et al.. (2021). Implicit social cognition through the years: The Implicit Association Test at age 21.. Psychology of Consciousness Theory Research and Practice. 9(3). 201–217. 7 indexed citations
12.
Devita, Maria, Daiana Colledani, Pasquale Anselmi, et al.. (2021). Religious assessment in Italian older adults: psychometric properties of the Francis Scale of Attitude toward Christianity and the Behavioral Religiosity Scale. Experimental Aging Research. 47(5). 478–493. 4 indexed citations
13.
Stefanutti, Luca, Debora de Chiusole, Pasquale Anselmi, & Andrea Spoto. (2020). Extending the Basic Local Independence Model to Polytomous Data. Psychometrika. 85(3). 684–715. 11 indexed citations
14.
Chiusole, Debora de, Luca Stefanutti, Pasquale Anselmi, & Egidio Robusto. (2020). Stat-Knowlab. Assessment and Learning of Statistics with Competence-based Knowledge Space Theory. International Journal of Artificial Intelligence in Education. 30(4). 668–700. 21 indexed citations
15.
Anselmi, Pasquale, et al.. (2020). Implicit measures with reproducible results: The implicitMeasures package. The Journal of Open Source Software. 5(52). 2394–2394. 2 indexed citations
16.
Panzeri, Anna, et al.. (2019). Development and psychometric properties of a short form of the Illness Denial Questionnaire. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Anselmi, Pasquale, et al.. (2019). DscoreApp: An user-friendly web application for computing the Implicit Association Test D-score. The Journal of Open Source Software. 4(42). 1764–1764. 2 indexed citations
18.
Ferrario, Silvia Rossi, Anna Panzeri, Pasquale Anselmi, & Giulio Vidotto. (2019). <p>Development and psychometric properties of a short form of the Illness Denial Questionnaire</p>. Psychology Research and Behavior Management. Volume 12. 727–739. 25 indexed citations
19.
Noventa, Stefano, Pasquale Anselmi, Mariaelena Tagliabue, & Giulio Vidotto. (2014). Functional measurement in consumer evaluation of market products. Psicologica. 35(3). 527–541. 1 indexed citations
20.
Anselmi, Pasquale, Luca Stefanutti, & Egidio Robusto. (2010). IDENTIFIABILITY AND GOODNESS OF RECOVERY IN THE CONSTRAINED GAIN-LOSS MODEL. Research Padua Archive (University of Padua). 26(1). 21–26.

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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