Diana Borsa

About

Diana Borsa is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Diana Borsa has authored 5 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Computational Theory and Mathematics. Recurrent topics in Diana Borsa’s work include Reinforcement Learning in Robotics (4 papers), Data Stream Mining Techniques (1 paper) and Machine Learning and Algorithms (1 paper). Diana Borsa is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Data Stream Mining Techniques (1 paper) and Machine Learning and Algorithms (1 paper). Diana Borsa collaborates with scholars based in United Kingdom, Canada and United States. Diana Borsa's co-authors include André Barreto, David Silver, Shaobo Hou, Doina Precup, Tom Schaul, Matteo Hessel, Daniel J. Mankowitz, Augustin Žídek, John Quan and Rémi Munos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, arXiv (Cornell University) and Uncertainty in Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Diana Borsa

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Borsa. A scholar is included among the top collaborators of Diana Borsa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diana Borsa. Diana Borsa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Diana Borsa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Diana Borsa

Since Specialization

Citations

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