Paola Giannini

117 total papers · 1.1k total citations
61 papers, 326 citations indexed

About

Paola Giannini is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Paola Giannini has authored 61 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 31 papers in Computational Theory and Mathematics and 12 papers in Computer Networks and Communications. Recurrent topics in Paola Giannini's work include Logic, programming, and type systems (47 papers), Formal Methods in Verification (28 papers) and Logic, Reasoning, and Knowledge (23 papers). Paola Giannini is often cited by papers focused on Logic, programming, and type systems (47 papers), Formal Methods in Verification (28 papers) and Logic, Reasoning, and Knowledge (23 papers). Paola Giannini collaborates with scholars based in Italy, New Zealand and United States. Paola Giannini's co-authors include Ferruccio Damiani, Mariangiola Dezani-Ciancaglini, Sophia Drossopoulou, Christopher Anderson, Elena Zucca, Ilaria Castellani, G. Longo, Furio Honsell, Simona Ronchi Della Rocca and Elena Giachino and has published in prestigious journals such as SHILAP Revista de lepidopterología, Theoretical Computer Science and ACM Transactions on Programming Languages and Systems.

In The Last Decade

Paola Giannini

53 papers receiving 294 citations

Author Peers

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

Author						Papers	Cites
Paola Giannini	288	149	85	81	47	61	326
Nikolaos Papaspyrou	207 0.7×	112 0.8×	83 1.0×	69 0.9×	96 2.0×	43	316
Massimo Benerecetti	228 0.8×	129 0.9×	66 0.8×	45 0.6×	20 0.4×	46	330
Edwin Brady	298 1.0×	166 1.1×	59 0.7×	98 1.2×	88 1.9×	24	350
David A. Watt	238 0.8×	112 0.8×	41 0.5×	100 1.2×	47 1.0×	28	331
Frank Valencia	184 0.6×	148 1.0×	71 0.8×	33 0.4×	33 0.7×	37	263
José N. Oliveira	154 0.5×	104 0.7×	67 0.8×	60 0.7×	25 0.5×	54	280
C. Barry Jay	232 0.8×	92 0.6×	69 0.8×	53 0.7×	61 1.3×	28	289
Stephen Weeks	250 0.9×	98 0.7×	67 0.8×	75 0.9×	123 2.6×	46	356
Yao Li	105 0.4×	151 1.0×	75 0.9×	67 0.8×	53 1.1×	42	319
Wilf R. LaLonde	243 0.8×	61 0.4×	91 1.1×	126 1.6×	50 1.1×	45	361

Countries citing papers authored by Paola Giannini

Since Specialization

Citations

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

Fields of papers citing papers by Paola Giannini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Giannini

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