Francesco Piccialli

149 papers and 3.9k indexed citations i.

About

Francesco Piccialli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Francesco Piccialli has authored 149 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 39 papers in Artificial Intelligence and 36 papers in Computer Networks and Communications. Recurrent topics in Francesco Piccialli’s work include IoT and Edge/Fog Computing (23 papers), Video Surveillance and Tracking Methods (11 papers) and Mobile Crowdsensing and Crowdsourcing (9 papers). Francesco Piccialli is often cited by papers focused on IoT and Edge/Fog Computing (23 papers), Video Surveillance and Tracking Methods (11 papers) and Mobile Crowdsensing and Crowdsourcing (9 papers). Francesco Piccialli collaborates with scholars based in Italy, South Korea and China. Francesco Piccialli's co-authors include Salvatore Cuomo, Gwanggil Jeon, Fabio Giampaolo, Vincenzo Schiano Di Cola, Imran Ahmed, Gianluigi Rozza, Maziar Raissi, Angelo Chianese, Kashif Naseer Qureshi and Sadia Din and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Francesco Piccialli i

Fields of papers citing papers by Francesco Piccialli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Piccialli

Since Specialization
Citations

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

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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2025