Giancarlo Sperlí

146 total papers · 2.9k total citations
89 papers, 1.6k citations indexed

About

Giancarlo Sperlí is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Giancarlo Sperlí has authored 89 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 31 papers in Information Systems and 28 papers in Statistical and Nonlinear Physics. Recurrent topics in Giancarlo Sperlí's work include Complex Network Analysis Techniques (28 papers), Spam and Phishing Detection (17 papers) and Topic Modeling (12 papers). Giancarlo Sperlí is often cited by papers focused on Complex Network Analysis Techniques (28 papers), Spam and Phishing Detection (17 papers) and Topic Modeling (12 papers). Giancarlo Sperlí collaborates with scholars based in Italy, United States and South Korea. Giancarlo Sperlí's co-authors include Vincenzo Moscato, Antonio Picariello, Flora Amato, Antonio Galli, Marco Postiglione, Aniello De Santo, Christian Esposito, Elio Masciari, Carlo Sansone and Aniello Castiglione and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Giancarlo Sperlí

80 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Giancarlo Sperlí 671 383 265 233 197 89 1.6k
Jing Yang 838 1.2× 238 0.6× 199 0.8× 365 1.6× 211 1.1× 134 2.4k
Yong Ge 639 1.0× 540 1.4× 224 0.8× 128 0.5× 136 0.7× 63 1.6k
Lian Duan 538 0.8× 423 1.1× 241 0.9× 73 0.3× 104 0.5× 79 2.3k
Azuraliza Abu Bakar 955 1.4× 404 1.1× 122 0.5× 79 0.3× 95 0.5× 153 1.7k
Hikmat Ullah Khan 842 1.3× 392 1.0× 159 0.6× 92 0.4× 135 0.7× 96 1.9k
Yezheng Liu 496 0.7× 313 0.8× 157 0.6× 142 0.6× 463 2.4× 101 1.6k
Guannan Liu 528 0.8× 253 0.7× 125 0.5× 162 0.7× 82 0.4× 66 1.4k
Giuseppe Manco 629 0.9× 555 1.4× 288 1.1× 444 1.9× 97 0.5× 94 1.5k
Meng Han 522 0.8× 706 1.8× 495 1.9× 128 0.5× 165 0.8× 156 1.7k
Gisele L. Pappa 698 1.0× 231 0.6× 107 0.4× 113 0.5× 151 0.8× 130 1.5k

Countries citing papers authored by Giancarlo Sperlí

Since Specialization
Citations

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

Fields of papers citing papers by Giancarlo Sperlí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giancarlo Sperlí

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