Rewon Child

About

Rewon Child is a scholar working on Artificial Intelligence, Plant Science and Mechanical Engineering. According to data from OpenAlex, Rewon Child has authored 4 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Plant Science and 1 paper in Mechanical Engineering. Recurrent topics in Rewon Child’s work include Speech Recognition and Synthesis (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Rewon Child is often cited by papers focused on Speech Recognition and Synthesis (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Rewon Child collaborates with scholars based in United States. Rewon Child's co-authors include Mark Chen, Ilya Sutskever, Heewoo Jun, Alec Radford, Jeffrey Wu, Joel Hestness, Andrew Gibiansky, Sercan Ö. Arık, Ryan Prenger and Adam Coates and has published in prestigious journals such as Acta Horticulturae, International Conference on Machine Learning and Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of Rewon Child i

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Fields of papers citing papers by Rewon Child

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rewon Child

Since Specialization

Citations

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