Pasquale Anselmi
- Artificial Intelligence top 5%
- Clinical Psychology top 10%
- Social Psychology top 10%
- Management Science and Operations Research top 5%
- Sociology and Political Science top 10%
- Co-authors
- Egidio RobustoLuca StefanuttiDaiana ColledaniMichelangelo VianelloDebora de ChiusoleAnna Dalla RosaJürgen HellerGiulio Vidotto
- Topics
- Intelligent Tutoring Systems and Adaptive Learning (20 papers)Social and Intergroup Psychology (11 papers)Bayesian Modeling and Causal Inference (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Pasquale Anselmi
79 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 314
- Clinical Psychology 197
- Social Psychology 168
- Management Science and Operations Research 134
- Sociology and Political Science 132
Countries citing papers authored by Pasquale Anselmi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 11 | |
| 14 | 21 | |
| 15 | 2 | |
| 16 | Development and psychometric properties of a short form of the Illness Denial Questionnaire | 2 |
| 17 | 2 | |
| 18 | 25 | |
| 19 | 1 | |
| 20 | IDENTIFIABILITY AND GOODNESS OF RECOVERY IN THE CONSTRAINED GAIN-LOSS MODEL | 0 |
About Pasquale Anselmi
Pasquale Anselmi is a scholar working on Applied Psychology, Computer Science Applications and Family Practice, having authored 89 papers that have together received 1.1k indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (20 papers), Social and Intergroup Psychology (11 papers) and Bayesian Modeling and Causal Inference (8 papers). The work is most often cited by research in Applied Psychology (84 citations), Computer Science Applications (73 citations) and Health (97 citations). Pasquale Anselmi has collaborated with scholars based in Italy, Germany and United States. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.