Benoît Garbinato

29 papers and 106 indexed citations i.

About

Benoît Garbinato is a scholar working on Computer Networks and Communications, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Benoît Garbinato has authored 29 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 4 papers in Sociology and Political Science. Recurrent topics in Benoît Garbinato’s work include Opportunistic and Delay-Tolerant Networks (9 papers), Distributed systems and fault tolerance (9 papers) and Caching and Content Delivery (8 papers). Benoît Garbinato is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (9 papers), Distributed systems and fault tolerance (9 papers) and Caching and Content Delivery (8 papers). Benoît Garbinato collaborates with scholars based in Switzerland, United States and United Kingdom. Benoît Garbinato's co-authors include Adrian Holzer, Fernando Pedone, John D. Kelleher, Patrick Eugster, Rachid Guerraoui, Andrii Vozniuk, Remo S. Schmidt, Bruno Kocher, Sten Govaerts and Marco Tomassini and has published in prestigious journals such as ACM Computing Surveys, Future Generation Computer Systems and Computer Networks.

In The Last Decade

Co-authorship network of co-authors of Benoît Garbinato i

Fields of papers citing papers by Benoît Garbinato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Benoît Garbinato

Since Specialization
Citations

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