Francesca Poggiolesi

78 total papers · 520 total citations
28 papers, 216 citations indexed

About

Francesca Poggiolesi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Experimental and Cognitive Psychology. According to data from OpenAlex, Francesca Poggiolesi has authored 28 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Francesca Poggiolesi's work include Logic, Reasoning, and Knowledge (20 papers), Logic, programming, and type systems (14 papers) and Philosophy and Theoretical Science (7 papers). Francesca Poggiolesi is often cited by papers focused on Logic, Reasoning, and Knowledge (20 papers), Logic, programming, and type systems (14 papers) and Philosophy and Theoretical Science (7 papers). Francesca Poggiolesi collaborates with scholars based in France, Belgium and Italy. Francesca Poggiolesi's co-authors include Nissim Francez, Guillaume Aucher, Gabriele Kern-Isberner, Paul Égré and Massimiliano Carrara and has published in prestigious journals such as Synthese, Journal of Philosophical Logic and Journal of Logic and Computation.

In The Last Decade

Francesca Poggiolesi

23 papers receiving 195 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 Poggiolesi 176 110 75 60 40 28 216
Rohan French 122 0.7× 93 0.8× 85 1.1× 42 0.7× 54 1.4× 22 198
Julien Murzi 117 0.7× 59 0.5× 135 1.8× 48 0.8× 69 1.7× 26 193
Sten Lindström 142 0.8× 68 0.6× 51 0.7× 24 0.4× 33 0.8× 24 203
Alan Weir 75 0.4× 59 0.5× 94 1.3× 50 0.8× 37 0.9× 26 165
Ole Thomassen Hjortland 152 0.9× 73 0.7× 208 2.8× 136 2.3× 132 3.3× 18 310
Denis Bonnay 84 0.5× 43 0.4× 54 0.7× 39 0.7× 29 0.7× 22 146
Eduardo Alejandro Barrio 195 1.1× 163 1.5× 111 1.5× 16 0.3× 31 0.8× 29 254
Lennart Åqvist 193 1.1× 93 0.8× 81 1.1× 17 0.3× 74 1.9× 39 319
Kai F. Wehmeier 118 0.7× 72 0.7× 144 1.9× 67 1.1× 83 2.1× 29 229
Pavel Materna 140 0.8× 83 0.8× 76 1.0× 17 0.3× 40 1.0× 36 210

Countries citing papers authored by Francesca Poggiolesi

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Poggiolesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Poggiolesi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Poggiolesi. A scholar is included among the top collaborators of Francesca Poggiolesi 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 Poggiolesi. Francesca Poggiolesi 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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