Fabrizio Riguzzi

2.2k total citations
108 papers, 717 citations indexed

About

Fabrizio Riguzzi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Fabrizio Riguzzi has authored 108 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 13 papers in Computer Networks and Communications. Recurrent topics in Fabrizio Riguzzi's work include Logic, Reasoning, and Knowledge (70 papers), Semantic Web and Ontologies (56 papers) and Bayesian Modeling and Causal Inference (42 papers). Fabrizio Riguzzi is often cited by papers focused on Logic, Reasoning, and Knowledge (70 papers), Semantic Web and Ontologies (56 papers) and Bayesian Modeling and Causal Inference (42 papers). Fabrizio Riguzzi collaborates with scholars based in Italy, Portugal and United States. Fabrizio Riguzzi's co-authors include Evelina Lamma, Elena Bellodi, Riccardo Zese, Terrance Swift, Paola Mello, Nicola Di Mauro, Antonis Kakas, Sergio Storari, Marco Gavanelli and Marco Alberti and has published in prestigious journals such as Information Sciences, Artificial Intelligence and Machine Learning.

In The Last Decade

Fabrizio Riguzzi

102 papers receiving 662 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fabrizio Riguzzi Italy 15 538 111 96 94 49 108 717
Roman Neruda Czechia 11 330 0.6× 79 0.7× 146 1.5× 38 0.4× 32 0.7× 92 474
Hong Xiao China 15 331 0.6× 79 0.7× 87 0.9× 81 0.9× 21 0.4× 71 632
Armando Tacchella Italy 14 423 0.8× 60 0.5× 268 2.8× 137 1.5× 50 1.0× 64 645
Guilin Qi China 13 333 0.6× 95 0.9× 79 0.8× 34 0.4× 24 0.5× 63 780
Rashid Naseem Pakistan 16 295 0.5× 266 2.4× 51 0.5× 134 1.4× 47 1.0× 31 654
Wei Dong China 14 245 0.5× 278 2.5× 105 1.1× 114 1.2× 112 2.3× 126 659
Ayaz Isazadeh Iran 12 204 0.4× 162 1.5× 54 0.6× 108 1.1× 20 0.4× 46 384
Changjie Tang China 11 239 0.4× 110 1.0× 52 0.5× 100 1.1× 93 1.9× 80 445
Shenglei Chen China 9 272 0.5× 94 0.8× 46 0.5× 40 0.4× 36 0.7× 24 443
Bingru Yang China 12 236 0.4× 197 1.8× 172 1.8× 43 0.5× 49 1.0× 84 522

Countries citing papers authored by Fabrizio Riguzzi

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Riguzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Riguzzi

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Riguzzi. A scholar is included among the top collaborators of Fabrizio Riguzzi 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 Fabrizio Riguzzi. Fabrizio Riguzzi 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.
Riguzzi, Fabrizio, et al.. (2021). Optimizing Probabilities in Probabilistic Logic Programs. Institutional Research Information System University of Ferrara (University of Ferrara). 1 indexed citations
2.
Bellodi, Elena, Marco Gavanelli, Riccardo Zese, Evelina Lamma, & Fabrizio Riguzzi. (2021). Nonground Abductive Logic Programming with Probabilistic Integrity Constraints. arXiv (Cornell University). 2 indexed citations
3.
Riguzzi, Fabrizio, et al.. (2021). Reducing Probabilistic Logic Programs.. 1 indexed citations
4.
Riguzzi, Fabrizio, et al.. (2016). Probabilistic Logic Programming for Natural Language Processing.. Institutional Research Information System University of Ferrara (University of Ferrara). 1802. 30–37. 3 indexed citations
5.
Gavanelli, Marco, et al.. (2015). An Abductive Framework for Datalog± Ontologies.. Institutional Research Information System University of Ferrara (University of Ferrara). 6 indexed citations
6.
Riguzzi, Fabrizio. (2015). The Distribution Semantics is Well-Defined for All Normal Programs.. Institutional Research Information System University of Ferrara (University of Ferrara). 69–84. 6 indexed citations
7.
Riguzzi, Fabrizio, Elena Bellodi, Evelina Lamma, & Riccardo Zese. (2015). Reasoning with probabilistic ontologies. Institutional Research Information System University of Ferrara (University of Ferrara). 4310–4316. 9 indexed citations
8.
Gavanelli, Marco, et al.. (2015). Abductive logic programming for Datalog +/- ontologies.. Institutional Research Information System University of Ferrara (University of Ferrara). 128–143. 3 indexed citations
9.
Zese, Riccardo, Elena Bellodi, Evelina Lamma, & Fabrizio Riguzzi. (2015). Logic Programming Techniques for Reasoning with Probabilistic Ontologies.. Institutional Research Information System University of Ferrara (University of Ferrara). 1517. 1–10. 1 indexed citations
10.
Zese, Riccardo, Elena Bellodi, Evelina Lamma, & Fabrizio Riguzzi. (2013). A Description Logics Tableau Reasoner in Prolog. Institutional Research Information System University of Ferrara (University of Ferrara). 1068. 33–47. 6 indexed citations
11.
Riguzzi, Fabrizio. (2012). Optimizing Inference for Probabilistic Logic Programs Exploiting Independence and Exclusiveness.. Institutional Research Information System University of Ferrara (University of Ferrara). 857. 206–220. 1 indexed citations
12.
Riguzzi, Fabrizio, Elena Bellodi, & Evelina Lamma. (2012). Probabilistic Datalog+/- under the Distribution Semantics.. Institutional Research Information System University of Ferrara (University of Ferrara). 6 indexed citations
13.
Riguzzi, Fabrizio, Elena Bellodi, Evelina Lamma, & Riccardo Zese. (2012). Epistemic and statistical probabilistic ontologies. Institutional Research Information System University of Ferrara (University of Ferrara). 3–14. 12 indexed citations
14.
Riguzzi, Fabrizio. (2011). MCINTYRE: A Monte Carlo Algorithm for Probabilistic Logic Programming. Institutional Research Information System University of Ferrara (University of Ferrara). 810. 25–39. 1 indexed citations
15.
Bellodi, Elena, Evelina Lamma, Fabrizio Riguzzi, & Simone Albani. (2011). A distribution semantics for probabilistic ontologies. Institutional Research Information System University of Ferrara (University of Ferrara). 75–86. 14 indexed citations
16.
Riguzzi, Fabrizio & Terrance Swift. (2010). An Extended Semantics for Logic Programs with Annotated Disjunctions and its Efficient Implementation.. Institutional Research Information System University of Ferrara (University of Ferrara). 598. 4 indexed citations
17.
Bellodi, Elena, Fabrizio Riguzzi, & Evelina Lamma. (2010). Probabilistic Logic-Based Process Mining.. Institutional Research Information System University of Ferrara (University of Ferrara). 7 indexed citations
18.
Chesani, Federico, et al.. (2008). Compliance checking of execution traces to business rules: An approach based on logic programming. View. 9(41). 1–16. 3 indexed citations
19.
Lamma, Evelina, Paola Mello, & Fabrizio Riguzzi. (2007). A System for Measuring Function Points. 1 indexed citations
20.
Lamma, Evelina, Fabrizio Riguzzi, & Sergio Storari. (2004). Exploiting association and correlation rules parameters for improving the K2 algorithm. European Conference on Artificial Intelligence. 500–504. 2 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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