Ryan P. Adams

82 papers and 6.9k indexed citations i.

About

Ryan P. Adams is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Ryan P. Adams has authored 82 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 10 papers in Statistics and Probability. Recurrent topics in Ryan P. Adams’s work include Gaussian Processes and Bayesian Inference (27 papers), Bayesian Methods and Mixture Models (12 papers) and Machine Learning and Algorithms (10 papers). Ryan P. Adams is often cited by papers focused on Gaussian Processes and Bayesian Inference (27 papers), Bayesian Methods and Mixture Models (12 papers) and Machine Learning and Algorithms (10 papers). Ryan P. Adams collaborates with scholars based in United States, Canada and United Kingdom. Ryan P. Adams's co-authors include Kevin Swersky, Nando de Freitas, Bobak Shahriari, Ziyu Wang, José Miguel Hernández-Lobato, Jennifer N. Wei, David Duvenaud, Jasper Snoek, Dennis Sheberla and Benjamín Sánchez-Lengeling and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nature Genetics.

In The Last Decade

Co-authorship network of co-authors of Ryan P. Adams i

Fields of papers citing papers by Ryan P. Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan P. Adams. 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 Ryan P. Adams. The network helps show where Ryan P. Adams may publish in the future.

Countries citing papers authored by Ryan P. Adams

Since Specialization
Citations

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