Francesco Pascale

40 total papers · 1.3k total citations
33 papers, 625 citations indexed

About

Francesco Pascale is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Francesco Pascale has authored 33 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Signal Processing and 10 papers in Computer Networks and Communications. Recurrent topics in Francesco Pascale's work include Context-Aware Activity Recognition Systems (7 papers), Sentiment Analysis and Opinion Mining (6 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). Francesco Pascale is often cited by papers focused on Context-Aware Activity Recognition Systems (7 papers), Sentiment Analysis and Opinion Mining (6 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). Francesco Pascale collaborates with scholars based in Italy, United Kingdom and Ecuador. Francesco Pascale's co-authors include Marco Lombardi, Domenico Santaniello, Francesco Colace, Massimo De Santo, Saverio Lemma, Antonio Pietrosanto, Fabio Clarizia, Mario Casillo, Antonio Picariello and Mario Mezzanzanica and has published in prestigious journals such as Pattern Recognition Letters, Applied Sciences and Electronics.

In The Last Decade

Francesco Pascale

32 papers receiving 593 citations

Hit Papers

Internet of Things: A Gen... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Francesco Pascale 250 203 141 120 87 33 625
Fiammetta Marulli 211 0.8× 232 1.1× 195 1.4× 86 0.7× 128 1.5× 48 668
Domenico Santaniello 208 0.8× 206 1.0× 177 1.3× 92 0.8× 162 1.9× 65 742
Qasim Ali Arain 264 1.1× 191 0.9× 115 0.8× 312 2.6× 69 0.8× 37 673
Xiaochun Yin 269 1.1× 407 2.0× 212 1.5× 120 1.0× 122 1.4× 29 708
Gaoyang Liu 403 1.6× 137 0.7× 130 0.9× 94 0.8× 97 1.1× 40 653
Zuobin Xiong 378 1.5× 113 0.6× 77 0.5× 70 0.6× 133 1.5× 20 571
Pramod Anantharam 172 0.7× 265 1.3× 142 1.0× 59 0.5× 124 1.4× 22 574
Kebin Liu 212 0.8× 246 1.2× 86 0.6× 222 1.9× 185 2.1× 27 690
Si Chen 252 1.0× 100 0.5× 241 1.7× 142 1.2× 103 1.2× 31 730
Iván Marsá-Maestre 255 1.0× 248 1.2× 103 0.7× 132 1.1× 76 0.9× 69 675

Countries citing papers authored by Francesco Pascale

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Pascale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Pascale

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