Nando de Freitas

90 papers and 11.5k indexed citations i.

About

Nando de Freitas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Nando de Freitas has authored 90 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 16 papers in Statistics and Probability. Recurrent topics in Nando de Freitas’s work include Machine Learning and Algorithms (16 papers), Gaussian Processes and Bayesian Inference (16 papers) and Markov Chains and Monte Carlo Methods (13 papers). Nando de Freitas is often cited by papers focused on Machine Learning and Algorithms (16 papers), Gaussian Processes and Bayesian Inference (16 papers) and Markov Chains and Monte Carlo Methods (13 papers). Nando de Freitas collaborates with scholars based in Canada, United Kingdom and United States. Nando de Freitas's co-authors include Arnaud Doucet, A. F. M. Smith, Neil Gordon, Kevin Swersky, Bobak Shahriari, Ryan P. Adams, Ziyu Wang, Christophe Andrieu, Michael I. Jordan and Rudolph van der Merwe and has published in prestigious journals such as Nature, Proceedings of the IEEE and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Nando de Freitas i

Fields of papers citing papers by Nando de Freitas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nando de Freitas. 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 Nando de Freitas. The network helps show where Nando de Freitas may publish in the future.

Countries citing papers authored by Nando de Freitas

Since Specialization
Citations

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