Daniela Pucci de Farias

About

Daniela Pucci de Farias is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Daniela Pucci de Farias has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Control and Systems Engineering. Recurrent topics in Daniela Pucci de Farias’s work include Reinforcement Learning in Robotics (7 papers), Advanced optical system design (4 papers) and Stability and Control of Uncertain Systems (3 papers). Daniela Pucci de Farias is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Advanced optical system design (4 papers) and Stability and Control of Uncertain Systems (3 papers). Daniela Pucci de Farias collaborates with scholars based in United States, Brazil and Australia. Daniela Pucci de Farias's co-authors include Benjamin Van Roy, José C. Geromel, J.B.R. do Val, O.L.V. Costa, Nimrod Megiddo, Jonathan P. How, John Vian, Mario Valenti, Saeed Bagheri and Paulo E. X. Silveira and has published in prestigious journals such as IEEE Transactions on Automatic Control, Operations Research and Journal of the ACM.

In The Last Decade

Co-authorship network of co-authors of Daniela Pucci de Farias i

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Fields of papers citing papers by Daniela Pucci de Farias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Pucci de Farias

Since Specialization

Citations

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