Alessandro Antonucci

892 total citations
58 papers, 389 citations indexed

About

Alessandro Antonucci is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Alessandro Antonucci has authored 58 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 12 papers in Management Science and Operations Research. Recurrent topics in Alessandro Antonucci's work include Bayesian Modeling and Causal Inference (38 papers), Rough Sets and Fuzzy Logic (12 papers) and Multi-Criteria Decision Making (8 papers). Alessandro Antonucci is often cited by papers focused on Bayesian Modeling and Causal Inference (38 papers), Rough Sets and Fuzzy Logic (12 papers) and Multi-Criteria Decision Making (8 papers). Alessandro Antonucci collaborates with scholars based in Switzerland, Brazil and Italy. Alessandro Antonucci's co-authors include Marco Zaffalon, Cassio P. de Campos, Denis Deratani Mauá, Giorgio Corani, Alessio Benavoli, Alessandro Giusti, Gert de Cooman, Fabio Cuzzolin, David Huber and Yi Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Neurocomputing.

In The Last Decade

Alessandro Antonucci

55 papers receiving 363 citations

Peers

Alessandro Antonucci

MSOR

CTM

SPU

Andrés Cano Spain

Andrés R. Masegosa Spain

Yongchuan Tang China

Jiří Vomlel Czechia

Rolf Haenni Switzerland

David Harmanec United States

Jiwen Guan United Kingdom

Zhigao Guo China

Mohammad Reza Rajati United States

Paul-André Monney Switzerland

Andrés Cano Spain

Alessandro Antonucci

331 ×1.1

120 ×1.3

MSOR

91 ×1.2

CTM

81 ×1.4

20 ×0.4

SPU

Citations per year, relative to Alessandro Antonucci Alessandro Antonucci (= 1×) peers Andrés Cano

Countries citing papers authored by Alessandro Antonucci

Since Specialization

Citations

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

Fields of papers citing papers by Alessandro Antonucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Antonucci

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

All Works

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20 of 20 papers shown

Antonucci, Alessandro, et al.. (2025). Optimizing personalized psychological well-being interventions through digital phenotyping: results from a randomized non-clinical trial. Frontiers in Psychology. 15. 1479269–1479269. 1 indexed citations

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

Flammini, Francesco, et al.. (2023). Probabilistic Modelling for Trustworthy Artificial Intelligence in Drone-Supported Autonomous Wheelchairs. Florence Research (University of Florence). 1–5. 1 indexed citations

D’Avanzo, Barbara, et al.. (2021). Implementation of Psychodynamic Multifamily Groups for Severe Mental Illness: A Recovery-Oriented Approach. Frontiers in Psychiatry. 12. 646925–646925. 1 indexed citations

Mauá, Denis Deratani, et al.. (2020). Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks.. 293–304.

Antonucci, Alessandro, et al.. (2020). CREDICI: A Java Library for Causal Inference by Credal Networks.. 597–600. 3 indexed citations

Huber, David, et al.. (2020). CREMA: A Java Library for Credal Network Inference. 613–616. 2 indexed citations

Antonucci, Alessandro, et al.. (2019). Credal Sentential Decision Diagrams.. 14–22. 1 indexed citations

Antonucci, Alessandro, et al.. (2018). Reliable Uncertain Evidence Modeling in Bayesian Networks by Credal Networks. arXiv (Cornell University). 513–518. 1 indexed citations

10.

Antonucci, Alessandro, et al.. (2016). Evaluating interval-valued influence diagrams. International Journal of Approximate Reasoning. 80. 393–411. 7 indexed citations

11.

Antonucci, Alessandro & Giorgio Corani. (2016). The multilabel naive credal classifier. International Journal of Approximate Reasoning. 83. 320–336. 6 indexed citations

12.

Bock, Jasper De, Cassio P. de Campos, & Alessandro Antonucci. (2014). Global Sensitivity Analysis for MAP Inference in Graphical Models. Ghent University Academic Bibliography (Ghent University). 27. 2690–2698. 15 indexed citations

13.

Antonucci, Alessandro, Cassio P. de Campos, David Huber, & Marco Zaffalon. (2014). Approximate credal network updating by linear programming with applications to decision making. International Journal of Approximate Reasoning. 58. 25–38. 13 indexed citations

14.

Antonucci, Alessandro, et al.. (2014). Robust classification of multivariate time series by imprecise hidden Markov models. International Journal of Approximate Reasoning. 56. 249–263. 37 indexed citations

15.

Antonucci, Alessandro, Yi Sun, Cassio P. de Campos, & Marco Zaffalon. (2010). Generalized loopy 2U: A new algorithm for approximate inference in credal networks. International Journal of Approximate Reasoning. 51(5). 474–484. 17 indexed citations

16.

Antonucci, Alessandro, et al.. (2009). Multiple model tracking by imprecise markov trees. Ghent University Academic Bibliography (Ghent University). 1767–1774. 7 indexed citations

17.

Antonucci, Alessandro, et al.. (2009). Credal networks for military identification problems. International Journal of Approximate Reasoning. 50(4). 666–679. 12 indexed citations

18.

Antonucci, Alessandro & Marco Zaffalon. (2008). Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks. International Journal of Approximate Reasoning. 49(2). 345–361. 23 indexed citations

19.

Antonucci, Alessandro & Marco Zaffalon. (2006). Locally specified credal networks.. 20(5). 25–34. 6 indexed citations

20.

Antonucci, Alessandro, Marco Zaffalon, Jaime S. Ide, & Fábio Gagliardi Cozman. (2006). Binarization Algorithms for Approximate Updating in Credal Nets. Web Science. 120–131. 10 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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