Giorgio Pasquali

62 total papers · 519 total citations
11 papers, 106 citations indexed

About

Giorgio Pasquali is a scholar working on Artificial Intelligence, Epidemiology and Media Technology. According to data from OpenAlex, Giorgio Pasquali has authored 11 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Epidemiology and 2 papers in Media Technology. Recurrent topics in Giorgio Pasquali's work include Linguistic Studies and Language Acquisition (2 papers), COVID-19 diagnosis using AI (2 papers) and COVID-19 epidemiological studies (2 papers). Giorgio Pasquali is often cited by papers focused on Linguistic Studies and Language Acquisition (2 papers), COVID-19 diagnosis using AI (2 papers) and COVID-19 epidemiological studies (2 papers). Giorgio Pasquali collaborates with scholars based in Italy, Germany and United States. Giorgio Pasquali's co-authors include Paul J. van der Maas, Nassim Ait Ali Braham, Paolo Gaudenzi, Felix M. Wassermann, Xiao Xiang Zhu, Sudipan Saha, Paolo Villari, Filippo Bianchini, Corrado De Vito and Domenico Alvaro and has published in prestigious journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Acta Astronautica and Digital Health.

In The Last Decade

Giorgio Pasquali

9 papers receiving 69 citations

Author Peers

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

Author Last Decade Papers Cites
Giorgio Pasquali 23 23 23 22 17 11 106
T. Gwynfor Griffith 22 1.0× 12 0.5× 11 0.5× 17 0.8× 24 1.4× 12 80
Étienne Tiffou 11 0.5× 33 1.4× 10 0.4× 27 1.2× 6 0.4× 14 86
John Lavagnino 19 0.8× 24 1.0× 73 3.2× 9 0.4× 24 1.4× 12 117
R. A. SAYCE 48 2.1× 37 1.6× 95 4.1× 16 0.7× 60 3.5× 14 237
Unione tipografico-editrice torinese 15 0.7× 6 0.3× 15 0.7× 65 3.0× 22 1.3× 8 157
Alfred Hiatt 20 0.9× 11 0.5× 12 0.5× 5 0.2× 29 1.7× 17 93
Trevor Ross 7 0.3× 17 0.7× 33 1.4× 4 0.2× 19 1.1× 13 87
Sylvia Adamson 7 0.3× 12 0.5× 31 1.3× 55 2.5× 12 0.7× 13 135
Michael Hattaway 13 0.6× 18 0.8× 41 1.8× 3 0.1× 17 1.0× 16 83
David Greetham 52 2.3× 16 0.7× 147 6.4× 43 2.0× 41 2.4× 18 258

Countries citing papers authored by Giorgio Pasquali

Since Specialization
Citations

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

Fields of papers citing papers by Giorgio Pasquali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giorgio Pasquali

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