Giuliana Giusti

166 total papers · 2.1k total citations
63 papers, 515 citations indexed

About

Giuliana Giusti is a scholar working on Language and Linguistics, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Giuliana Giusti has authored 63 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Language and Linguistics, 33 papers in Artificial Intelligence and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Giuliana Giusti's work include Linguistic Studies and Language Acquisition (23 papers), Syntax, Semantics, Linguistic Variation (11 papers) and Natural Language Processing Techniques (10 papers). Giuliana Giusti is often cited by papers focused on Linguistic Studies and Language Acquisition (23 papers), Syntax, Semantics, Linguistic Variation (11 papers) and Natural Language Processing Techniques (10 papers). Giuliana Giusti collaborates with scholars based in Italy, Spain and Portugal. Giuliana Giusti's co-authors include Anna Cardinaletti, Mila Vulchanova, Guglielmo Cinque, Nicola Munaro, Laura Brugè, John M. Lipski, Chiara Branchini, M. Teresa Espinal and Francesca Volpato and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language and Linguistic Inquiry.

In The Last Decade

Giuliana Giusti

53 papers receiving 366 citations

Author Peers

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

Author Last Decade Papers Cites
Giuliana Giusti 457 226 150 122 68 63 515
Janne Bondi Johannessen 386 0.8× 287 1.3× 187 1.2× 111 0.9× 51 0.8× 52 568
Mark de Vries 413 0.9× 192 0.8× 139 0.9× 106 0.9× 93 1.4× 40 455
Kriszta Szendröi 420 0.9× 196 0.9× 151 1.0× 219 1.8× 63 0.9× 31 529
Malte Zimmermann 444 1.0× 162 0.7× 155 1.0× 224 1.8× 50 0.7× 51 527
Sergio Scalise 391 0.9× 177 0.8× 118 0.8× 152 1.2× 63 0.9× 30 499
Theresa Biberauer 477 1.0× 180 0.8× 210 1.4× 133 1.1× 60 0.9× 39 518
H.C. van Riemsdijk 456 1.0× 191 0.8× 181 1.2× 153 1.3× 53 0.8× 23 527
Andrew Simpson 451 1.0× 225 1.0× 182 1.2× 168 1.4× 49 0.7× 42 545
Peter Ackema 512 1.1× 237 1.0× 149 1.0× 178 1.5× 80 1.2× 32 557
Wei-Tien Dylan Tsai 451 1.0× 181 0.8× 155 1.0× 151 1.2× 47 0.7× 26 487

Countries citing papers authored by Giuliana Giusti

Since Specialization
Citations

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

Fields of papers citing papers by Giuliana Giusti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuliana Giusti

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