Valentina Gliozzi

1.1k total citations
41 papers, 268 citations indexed

About

Valentina Gliozzi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Developmental and Educational Psychology. According to data from OpenAlex, Valentina Gliozzi has authored 41 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 4 papers in Developmental and Educational Psychology. Recurrent topics in Valentina Gliozzi's work include Logic, Reasoning, and Knowledge (29 papers), Semantic Web and Ontologies (23 papers) and Advanced Algebra and Logic (14 papers). Valentina Gliozzi is often cited by papers focused on Logic, Reasoning, and Knowledge (29 papers), Semantic Web and Ontologies (23 papers) and Advanced Algebra and Logic (14 papers). Valentina Gliozzi collaborates with scholars based in Italy, France and United States. Valentina Gliozzi's co-authors include Laura Giordano, Nicola Olivetti, Gian Luca Pozzato, Kim Plunkett, Julien Mayor, Jon‐Fan Hu, Daniele Theseider Dupré, Camilla Schwind, Alberto Martelli and Roberto Esposito and has published in prestigious journals such as Cancer, Artificial Intelligence and Cognitive Science.

In The Last Decade

Valentina Gliozzi

35 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valentina Gliozzi Italy 9 223 83 31 20 18 41 268
Mark-Jan Nederhof United Kingdom 11 461 2.1× 183 2.2× 8 0.3× 19 0.9× 50 2.8× 69 507
Wojciech Skut Germany 7 358 1.6× 17 0.2× 12 0.4× 6 0.3× 14 0.8× 15 388
John T. Maxwell United States 12 680 3.0× 38 0.5× 11 0.4× 15 0.8× 28 1.6× 20 716
Reinhard Muskens Netherlands 11 417 1.9× 114 1.4× 8 0.3× 10 0.5× 5 0.3× 41 516
Harald Trost Austria 9 222 1.0× 15 0.2× 6 0.2× 9 0.5× 15 0.8× 40 259
Yoshiro Miyata Japan 6 151 0.7× 18 0.2× 33 1.1× 9 0.5× 9 0.5× 11 233
H. Todd Wareham Canada 8 151 0.7× 106 1.3× 13 0.4× 40 2.0× 109 6.1× 17 262
Torben Braüner Denmark 11 291 1.3× 208 2.5× 26 0.8× 32 1.6× 2 0.1× 41 339
Richard Crouch United States 13 632 2.8× 15 0.2× 9 0.3× 24 1.2× 34 1.9× 25 657
Choh Man Teng United States 8 140 0.6× 25 0.3× 7 0.2× 3 0.1× 19 1.1× 26 199

Countries citing papers authored by Valentina Gliozzi

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Gliozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Gliozzi

This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Gliozzi. A scholar is included among the top collaborators of Valentina Gliozzi 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 Valentina Gliozzi. Valentina Gliozzi 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.
Giordano, Laura, Valentina Gliozzi, & Daniele Theseider Dupré. (2021). A Multipreference Semantics from Common Sense Reasoning to Neural Network Models: An Overview.. 1 indexed citations
2.
Giordano, Laura & Valentina Gliozzi. (2019). Strengthening the Rational Closure for Description Logics: An Overview.. 68–81. 1 indexed citations
3.
Esposito, Roberto, et al.. (2017). A Neural Network Model for Taxonomic Responding with Realistic Visual Inputs. eScholarship (California Digital Library). 1–6. 1 indexed citations
4.
Giordano, Laura & Valentina Gliozzi. (2015). Encoding a Preferential Extension of the Description Logic SROIQ into SROIQ. 248–258. 2 indexed citations
5.
Giordano, Laura, Valentina Gliozzi, Nicola Olivetti, & Gian Luca Pozzato. (2015). Semantic characterization of rational closure: From propositional logic to description logics. Artificial Intelligence. 226. 1–33. 46 indexed citations
6.
Giordano, Laura, Valentina Gliozzi, Nicola Olivetti, & Gian Luca Pozzato. (2014). Minimal models for rational closure in SHIQ. 1231. 271–277. 1 indexed citations
7.
Gliozzi, Valentina, et al.. (2013). Primacy/recency effects in infant categorisation. Cognitive Science. 35(35). 2410–2415. 1 indexed citations
8.
Giordano, Laura, Valentina Gliozzi, Nicola Olivetti, & Gian Luca Pozzato. (2013). Minimal Model Semantics and Rational Closure in Description Logics. Institutional Research Information System University of Turin (University of Turin). 1014. 168–180. 10 indexed citations
9.
Giordano, Laura, Valentina Gliozzi, Nicola Olivetti, & Gian Luca Pozzato. (2012). Preferential Low Complexity Description Logics: Complexity Results and Proof Methods.. Description Logics. 1 indexed citations
10.
Giordano, Laura, Valentina Gliozzi, Nicola Olivetti, & Gian Luca Pozzato. (2012). A minimal model semantics for rational closure. 1–10. 2 indexed citations
11.
Giordano, Laura, Valentina Gliozzi, Nicola Olivetti, & Gian Luca Pozzato. (2011). Reasoning about typicality in low complexity DLs: the logics EL ⊥ T min and DL-Lite c T min. International Joint Conference on Artificial Intelligence. 894–899. 6 indexed citations
12.
Giordano, Laura, et al.. (2011). Verifying Compliance of Business Processes with Temporal Answer Sets.. Institutional Research Information System University of Turin (University of Turin). 810. 147–161. 3 indexed citations
13.
Giordano, Laura, Valentina Gliozzi, Nicola Olivetti, Gian Luca Pozzato, & Camilla Schwind. (2011). Non-classical logics for knowledge representation and reasoning. HAL (Le Centre pour la Communication Scientifique Directe). 5(1). 127–131. 2 indexed citations
14.
Giordano, Laura, et al.. (2010). A Constructive Conditional Logic for Access Control:a completeness result and a sequent calculus. 598. 901–915.
15.
Giordano, Laura, Valentina Gliozzi, Nicola Olivetti, & Gian Luca Pozzato. (2010). Reasoning About Typicality in Preferential Description Logics: Preferential vs Rational Entailment.. 1 indexed citations
16.
Giordano, Laura, Valentina Gliozzi, Nicola Olivetti, & Gian Luca Pozzato. (2009). Reasoning About Typicality in ALC and EL.. Institutional Research Information System University of Turin (University of Turin). 477. 1–13. 3 indexed citations
17.
Giordano, Laura, Valentina Gliozzi, Nicola Olivetti, & Gian Luca Pozzato. (2007). Extension of Description Logics for Reasoning About Typicality. Cancer. 113(11). 239–254. 1 indexed citations
18.
Giordano, Laura, Valentina Gliozzi, Nicola Olivetti, & Gian Luca Pozzato. (2006). Automated Deduction for Logics of Default Reasoning. European Conference on Artificial Intelligence. 757–758. 2 indexed citations
19.
Giordano, Laura, Nicola Olivetti, Valentina Gliozzi, & Gian Luca Pozzato. (2005). A Tableaux Calculus for KLM Preferential and Cumulative Logics. 12. 11–26. 1 indexed citations
20.
Giordano, Laura, Valentina Gliozzi, & Nicola Olivetti. (2000). A conditional logic for iterated belief revision. European Conference on Artificial Intelligence. 28–32. 1 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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