Massimo Valla

14 papers and 142 indexed citations i.

About

Massimo Valla is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Massimo Valla has authored 14 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Massimo Valla’s work include Context-Aware Activity Recognition Systems (8 papers), Opportunistic and Delay-Tolerant Networks (4 papers) and QoS-Aware Web Services Composition and Semantic Matching (4 papers). Massimo Valla is often cited by papers focused on Context-Aware Activity Recognition Systems (8 papers), Opportunistic and Delay-Tolerant Networks (4 papers) and QoS-Aware Web Services Composition and Semantic Matching (4 papers). Massimo Valla collaborates with scholars based in Italy, Canada and France. Massimo Valla's co-authors include Igor Bisio, Jinsong Wu, Chris Gniady, Haibo Li, Ekram Hossain, Paolo Falcarin, M.Y. Sanadidi, Mário Gerla, Cristina Frà and Ernő Kovács and has published in prestigious journals such as IEEE Communications Magazine, Computer Communications and Journal of Web Semantics.

In The Last Decade

Co-authorship network of co-authors of Massimo Valla i

Fields of papers citing papers by Massimo Valla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Valla

Since Specialization
Citations

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