Riccardo Pucella

112 total papers · 1.2k total citations
45 papers, 464 citations indexed

About

Riccardo Pucella is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Riccardo Pucella has authored 45 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 13 papers in Information Systems. Recurrent topics in Riccardo Pucella's work include Logic, programming, and type systems (19 papers), Logic, Reasoning, and Knowledge (14 papers) and Formal Methods in Verification (11 papers). Riccardo Pucella is often cited by papers focused on Logic, programming, and type systems (19 papers), Logic, Reasoning, and Knowledge (14 papers) and Formal Methods in Verification (11 papers). Riccardo Pucella collaborates with scholars based in United States, United Kingdom and Mexico. Riccardo Pucella's co-authors include Joseph Y. Halpern, Andrew D. Gordon, Matthew Fluet, Andrew D. Gordon, Kathleen Fisher, John Reppy, F.B. Schneider, Hubie Chen, Fred B. Schneider and Christos Dimoulas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Journal of the ACM.

In The Last Decade

Riccardo Pucella

38 papers receiving 418 citations

Author Peers

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

Author Last Decade Papers Cites
Riccardo Pucella 357 154 153 135 57 45 464
Rong Yang 153 0.4× 171 1.1× 164 1.1× 59 0.4× 62 1.1× 38 433
Kevin Bierhoff 400 1.1× 119 0.8× 149 1.0× 118 0.9× 84 1.5× 19 477
Alessandro Aldini 279 0.8× 221 1.4× 165 1.1× 120 0.9× 19 0.3× 70 518
Christophe Ringeissen 322 0.9× 96 0.6× 88 0.6× 174 1.3× 34 0.6× 38 492
William D. Young 347 1.0× 175 1.1× 62 0.4× 134 1.0× 104 1.8× 39 444
David B. Wortman 222 0.6× 185 1.2× 145 0.9× 76 0.6× 191 3.4× 48 535
Pierre‐Etienne Moreau 348 1.0× 100 0.6× 99 0.6× 187 1.4× 64 1.1× 33 534
Amy Felty 412 1.2× 107 0.7× 94 0.6× 212 1.6× 60 1.1× 43 485
Amnon H. Eden 299 0.8× 58 0.4× 273 1.8× 49 0.4× 16 0.3× 33 490
Alessandra Di Pierro 365 1.0× 134 0.9× 50 0.3× 159 1.2× 24 0.4× 52 446

Countries citing papers authored by Riccardo Pucella

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Pucella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Pucella

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