Daniela Tulone

6 papers and 50 indexed citations i.

About

Daniela Tulone is a scholar working on Computer Networks and Communications, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Daniela Tulone has authored 6 papers receiving a total of 50 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 2 papers in Artificial Intelligence and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Daniela Tulone’s work include Energy Efficient Wireless Sensor Networks (3 papers), Network Time Synchronization Technologies (2 papers) and Context-Aware Activity Recognition Systems (2 papers). Daniela Tulone is often cited by papers focused on Energy Efficient Wireless Sensor Networks (3 papers), Network Time Synchronization Technologies (2 papers) and Context-Aware Activity Recognition Systems (2 papers). Daniela Tulone collaborates with scholars based in Italy and United States. Daniela Tulone's co-authors include Samuel Madden, Sadaf Zahedi, Mani Srivastava and Laura Balzano and has published in prestigious journals such as Ad Hoc Networks, Algorithmica and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Daniela Tulone i

Fields of papers citing papers by Daniela Tulone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Tulone

Since Specialization
Citations

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