Giulia DeSalvo

13 papers and 525 indexed citations i.

About

Giulia DeSalvo is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Giulia DeSalvo has authored 13 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 3 papers in Computer Networks and Communications. Recurrent topics in Giulia DeSalvo’s work include Machine Learning and Algorithms (9 papers), Machine Learning and Data Classification (7 papers) and Advanced Bandit Algorithms Research (6 papers). Giulia DeSalvo is often cited by papers focused on Machine Learning and Algorithms (9 papers), Machine Learning and Data Classification (7 papers) and Advanced Bandit Algorithms Research (6 papers). Giulia DeSalvo collaborates with scholars based in United States and France. Giulia DeSalvo's co-authors include Lisha Li, Kevin Jamieson, Afshin Rostamizadeh, Ameet Talwalkar, Mehryar Mohri, Corinna Cortes, Claudio Gentile, Scott Cheng‐Hsin Yang, MohammadHossein Bateni and Krishnamurthy Viswanathan and has published in prestigious journals such as Journal of Machine Learning Research, Annals of Mathematics and Artificial Intelligence and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Giulia DeSalvo i

Fields of papers citing papers by Giulia DeSalvo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Giulia DeSalvo

Since Specialization
Citations

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