Daniele Riboni

51 papers and 1.3k indexed citations i.

About

Daniele Riboni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Daniele Riboni has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 15 papers in Computer Networks and Communications. Recurrent topics in Daniele Riboni’s work include Context-Aware Activity Recognition Systems (27 papers), Privacy-Preserving Technologies in Data (8 papers) and IoT and Edge/Fog Computing (7 papers). Daniele Riboni is often cited by papers focused on Context-Aware Activity Recognition Systems (27 papers), Privacy-Preserving Technologies in Data (8 papers) and IoT and Edge/Fog Computing (7 papers). Daniele Riboni collaborates with scholars based in Italy, The Netherlands and Germany. Daniele Riboni's co-authors include Cláudio Bettini, Karen Henricksen, Daniela Nicklas, Oliver Brdiczka, Anand Ranganathan, Jadwiga Indulska, Rim Helaoui, Abbas Alimohammadi, Gabriele Civitarese and Diego Reforgiato Recupero and has published in prestigious journals such as Sensors, IEEE Access and ACM Computing Surveys.

In The Last Decade

Co-authorship network of co-authors of Daniele Riboni i

Fields of papers citing papers by Daniele Riboni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniele Riboni

Since Specialization
Citations

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