John Quan

8 papers and 3.0k indexed citations i.

About

John Quan is a scholar working on Artificial Intelligence, Economics and Econometrics and Electrical and Electronic Engineering. According to data from OpenAlex, John Quan has authored 8 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Economics and Econometrics and 1 paper in Electrical and Electronic Engineering. Recurrent topics in John Quan’s work include Reinforcement Learning in Robotics (5 papers), Sports Analytics and Performance (2 papers) and Neural dynamics and brain function (1 paper). John Quan is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Sports Analytics and Performance (2 papers) and Neural dynamics and brain function (1 paper). John Quan collaborates with scholars based in United States, United Kingdom and Israel. John Quan's co-authors include Claudia Clopath, Dharshan Kumaran, Agnieszka Grabska‐Barwińska, James Kirkpatrick, Andrei A. Rusu, Razvan Pascanu, Tiago Ramalho, Raia Hadsell, Demis Hassabis and Neil C. Rabinowitz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Measurement Science and Technology and IT Professional.

In The Last Decade

Co-authorship network of co-authors of John Quan

This figure shows the co-authorship network connecting the top 25 collaborators of John Quan. A scholar is included among the top collaborators of John Quan 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 John Quan. John Quan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by John Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Quan

Since Specialization
Citations

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