Aldo Pacchiano

About

Aldo Pacchiano is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Aldo Pacchiano has authored 20 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 4 papers in Computational Theory and Mathematics. Recurrent topics in Aldo Pacchiano’s work include Advanced Bandit Algorithms Research (6 papers), Reinforcement Learning in Robotics (5 papers) and Machine Learning and Algorithms (4 papers). Aldo Pacchiano is often cited by papers focused on Advanced Bandit Algorithms Research (6 papers), Reinforcement Learning in Robotics (5 papers) and Machine Learning and Algorithms (4 papers). Aldo Pacchiano collaborates with scholars based in United States, United Kingdom and Germany. Aldo Pacchiano's co-authors include Krzysztof Choromański, Jack Parker-Holder, Tom Stepleton, Yunhao Tang, Ray Jiang, Heinrich Jiang, Silvia Chiappa, John Aslanides, Peter L. Bartlett and Stephen Roberts and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Aldo Pacchiano i

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Fields of papers citing papers by Aldo Pacchiano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aldo Pacchiano

Since Specialization

Citations

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