Francesca Scozzari

53 total papers · 658 total citations
23 papers, 230 citations indexed

About

Francesca Scozzari is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Francesca Scozzari has authored 23 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Computational Theory and Mathematics and 5 papers in Software. Recurrent topics in Francesca Scozzari's work include Logic, programming, and type systems (17 papers), Formal Methods in Verification (13 papers) and Logic, Reasoning, and Knowledge (7 papers). Francesca Scozzari is often cited by papers focused on Logic, programming, and type systems (17 papers), Formal Methods in Verification (13 papers) and Logic, Reasoning, and Knowledge (7 papers). Francesca Scozzari collaborates with scholars based in Italy, Spain and France. Francesca Scozzari's co-authors include Roberto Giacobazzi, Francesco Ranzato, Gianluca Amato, Annamaria Porreca, Marta Di Nicola, Maurizio Parton, Maria Chiara Meo, Enea Zaffanella, Salvador Cruz Rambaud and Alessia Amelio and has published in prestigious journals such as BMC Public Health, Journal of the ACM and Theoretical Computer Science.

In The Last Decade

Francesca Scozzari

20 papers receiving 219 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Francesca Scozzari 174 129 71 39 33 23 230
James Donahue 229 1.3× 90 0.7× 40 0.6× 82 2.1× 11 0.3× 15 313
C. O'Halloran 90 0.5× 60 0.5× 54 0.8× 20 0.5× 30 0.9× 20 144
Federico Olmedo 209 1.2× 113 0.9× 33 0.5× 19 0.5× 13 0.4× 13 233
Christian Haack 94 0.5× 41 0.3× 32 0.5× 62 1.6× 5 0.2× 17 162
Nikos Gorogiannis 177 1.0× 53 0.4× 44 0.6× 27 0.7× 16 0.5× 21 229
Oksana Tkachuk 148 0.9× 107 0.8× 206 2.9× 100 2.6× 67 2.0× 26 298
Roland Groz 84 0.5× 92 0.7× 183 2.6× 56 1.4× 25 0.8× 22 253
Hiroshi Unno 263 1.5× 240 1.9× 99 1.4× 42 1.1× 15 0.5× 29 296
S. Magill 129 0.7× 80 0.6× 72 1.0× 37 0.9× 28 0.8× 26 219
Julian Rathke 250 1.4× 142 1.1× 23 0.3× 34 0.9× 28 0.8× 30 284

Countries citing papers authored by Francesca Scozzari

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Scozzari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Scozzari

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

All Works

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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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