Alberto Piatti

442 total citations
15 papers, 219 citations indexed

About

Alberto Piatti is a scholar working on Computer Science Applications, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Alberto Piatti has authored 15 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Science Applications, 5 papers in Artificial Intelligence and 5 papers in Developmental and Educational Psychology. Recurrent topics in Alberto Piatti's work include Teaching and Learning Programming (7 papers), Educational Games and Gamification (4 papers) and AI-based Problem Solving and Planning (3 papers). Alberto Piatti is often cited by papers focused on Teaching and Learning Programming (7 papers), Educational Games and Gamification (4 papers) and AI-based Problem Solving and Planning (3 papers). Alberto Piatti collaborates with scholars based in Switzerland, Australia and Italy. Alberto Piatti's co-authors include Francesco Mondada, Christian Giang, Morgane Chevalier, Marco Zaffalon, Fabio Trojani, Alessandro Antonucci, Marcus Hütter, Luca Maria Gambardella, Laila El‐Hamamsy and Pedro Javier Rojas Garzón and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Approximate Reasoning and IEEE Transactions on Education.

In The Last Decade

Alberto Piatti

14 papers receiving 216 citations

Peers

Alberto Piatti
Alberto Piatti
Citations per year, relative to Alberto Piatti Alberto Piatti (= 1×) peers Guanhua Chen

Countries citing papers authored by Alberto Piatti

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Piatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Piatti

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Piatti. A scholar is included among the top collaborators of Alberto Piatti 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 Alberto Piatti. Alberto Piatti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Piatti, Alberto, et al.. (2025). FADE-CTP: A Framework for the Analysis and Design of Educational Computational Thinking Problems. Technology Knowledge and Learning. 30(2). 1073–1148.
2.
Piatti, Alberto, et al.. (2024). Development of algorithmic thinking skills in K-12 education: A comparative study of unplugged and digital assessment instruments. Computers in Human Behavior Reports. 15. 100466–100466. 2 indexed citations
3.
Giang, Christian, et al.. (2023). Have You Ever Seen a Robot? An Analysis of Children’s Drawings Between Technology and Science Fiction. PubMed. 6(2). 232–251. 7 indexed citations
4.
Mangili, Francesca, et al.. (2023). Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment. SHILAP Revista de lepidopterología. 19(1). 52–64. 1 indexed citations
5.
Piatti, Alberto, et al.. (2022). The CT-cube: A framework for the design and the assessment of computational thinking activities. Computers in Human Behavior Reports. 5. 100166–100166. 19 indexed citations
6.
Mangili, Francesca, et al.. (2022). Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach. 1–6. 2 indexed citations
7.
Piatti, Alberto, et al.. (2021). Dalla statistica alla creazione di pittogrammi: un esempio di itinerario didattico contestuale nella scuola dell'infanzia. SHILAP Revista de lepidopterología. 100–118. 1 indexed citations
8.
Chevalier, Morgane, Christian Giang, Alberto Piatti, & Francesco Mondada. (2020). Fostering computational thinking through educational robotics: a model for creative computational problem solving. International Journal of STEM Education. 7(1). 126 indexed citations
9.
Giang, Christian, et al.. (2019). A Tangible Programming Language for the Educational Robot Thymio. 1–4. 9 indexed citations
10.
Giang, Christian, Alberto Piatti, & Francesco Mondada. (2019). Heuristics for the Development and Evaluation of Educational Robotics Systems. IEEE Transactions on Education. 62(4). 278–287. 17 indexed citations
11.
Antonucci, Alessandro, et al.. (2009). Credal networks for military identification problems. International Journal of Approximate Reasoning. 50(4). 666–679. 12 indexed citations
12.
Piatti, Alberto, Marco Zaffalon, Fabio Trojani, & Marcus Hütter. (2008). Limits of learning about a categorical latent variable under prior near-ignorance. International Journal of Approximate Reasoning. 50(4). 597–611. 13 indexed citations
13.
D’Amore, Bruno, et al.. (2008). El "sentido del infinito". Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 187–216. 5 indexed citations
14.
Piatti, Alberto. (2006). Learning under prior ignorance. reroDoc Digital Library. 1 indexed citations
15.
Piatti, Alberto, Marco Zaffalon, & Fabio Trojani. (2005). Limits of Learning from Imperfect Observations under Prior Ignorance: the Case of the Imprecise Dirichlet Model. 276–286. 4 indexed citations

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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