Maria Fazio

128 papers and 1.7k indexed citations i.

About

Maria Fazio is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maria Fazio has authored 128 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Networks and Communications, 36 papers in Information Systems and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maria Fazio’s work include IoT and Edge/Fog Computing (47 papers), Cloud Computing and Resource Management (25 papers) and Context-Aware Activity Recognition Systems (13 papers). Maria Fazio is often cited by papers focused on IoT and Edge/Fog Computing (47 papers), Cloud Computing and Resource Management (25 papers) and Context-Aware Activity Recognition Systems (13 papers). Maria Fazio collaborates with scholars based in Italy, United Kingdom and Austria. Maria Fazio's co-authors include Massimo Villari, Antonio Celesti, Antonino Galletta, Antonio Puliafito, Rajiv Ranjan, Omer Rana, Schahram Dustdar, Lorenzo Carnevale, A. Lay-Ekuakille and Lydia Y. Chen and has published in prestigious journals such as Neuroscience & Biobehavioral Reviews, Trends in biotechnology and IEEE Communications Magazine.

In The Last Decade

Co-authorship network of co-authors of Maria Fazio i

Fields of papers citing papers by Maria Fazio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Fazio

Since Specialization
Citations

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