Francesco Nocera

10 papers and 150 indexed citations i.

About

Francesco Nocera is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francesco Nocera has authored 10 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francesco Nocera’s work include IoT and Edge/Fog Computing (6 papers), Context-Aware Activity Recognition Systems (5 papers) and QoS-Aware Web Services Composition and Semantic Matching (3 papers). Francesco Nocera is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Context-Aware Activity Recognition Systems (5 papers) and QoS-Aware Web Services Composition and Semantic Matching (3 papers). Francesco Nocera collaborates with scholars based in Italy and Finland. Francesco Nocera's co-authors include Marina Mongiello, Cristina Pellegrini, Luca Davoli, Laura Belli, Gianluigi Ferrari, Antonio Cilfone, Tommaso Di Noia, Umberto Straccia, Stefano Bistarelli and Niko Mäkitalo and has published in prestigious journals such as Knowledge and Information Systems, Smart Cities and IET Software.

In The Last Decade

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

Fields of papers citing papers by Francesco Nocera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Nocera

Since Specialization
Citations

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