Christopher Painter-Wakefield

About

Christopher Painter-Wakefield is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Christopher Painter-Wakefield has authored 4 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Christopher Painter-Wakefield’s work include Model Reduction and Neural Networks (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Reinforcement Learning in Robotics (2 papers). Christopher Painter-Wakefield is often cited by papers focused on Model Reduction and Neural Networks (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Reinforcement Learning in Robotics (2 papers). Christopher Painter-Wakefield collaborates with scholars based in United States. Christopher Painter-Wakefield's co-authors include Ronald Parr, Michael L. Littman, Lihong Li, Lihong Li and Gavin Taylor and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University), arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Christopher Painter-Wakefield i

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Fields of papers citing papers by Christopher Painter-Wakefield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Painter-Wakefield. 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 Christopher Painter-Wakefield. The network helps show where Christopher Painter-Wakefield may publish in the future.

Countries citing papers authored by Christopher Painter-Wakefield

Since Specialization

Citations

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