Rewon Child

8.7k total citations · 1 hit paper
4 papers, 403 citations indexed

About

Rewon Child is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Rewon Child has authored 4 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Rewon Child's work include Speech Recognition and Synthesis (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Speech and Audio Processing (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 Speech and Audio Processing (1 paper). Rewon Child collaborates with scholars based in United States. Rewon Child's co-authors include Alec Radford, Ilya Sutskever, Mark Chen, Heewoo Jun, Jeffrey Wu, Sercan Ö. Arık, Joel Hestness, Ryan Prenger, Andrew Gibiansky and Adam Coates and has published in prestigious journals such as Acta Horticulturae and International Conference on Machine Learning.

In The Last Decade

Rewon Child

4 papers receiving 380 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Generative Pretraining From Pixels

2020 288 citations Mark Chen, Alec Radford et al. International Conference on Machine Learning profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rewon Child	241	218	103	21	17	4	403
Guillaume Alain	215 0.9×	186 0.9×	86 0.8×	24 1.1×	17 1.0×	8	410
Heewoo Jun	250 1.0×	160 0.7×	63 0.6×	20 1.0×	17 1.0×	4	366
Quan Wang	220 0.9×	90 0.4×	101 1.0×	15 0.7×	18 1.1×	31	315
Alec Radford	267 1.1×	203 0.9×	28 0.3×	20 1.0×	24 1.4×	4	417
Jeffrey Wu	231 1.0×	125 0.6×	23 0.2×	20 1.0×	29 1.7×	5	317
Sheng-Yu Wang	586 2.4×	195 0.9×	37 0.4×	21 1.0×	14 0.8×	14	702
Hyun-Soo Kim	317 1.3×	106 0.5×	31 0.3×	31 1.5×	30 1.8×	3	395
Philipp Benz	252 1.0×	241 1.1×	44 0.4×	23 1.1×	6 0.4×	12	447

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).

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.

Co-authorship network of co-authors of Rewon Child

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

All Works

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4 of 4 papers shown

1.

Chen, Mark, Alec Radford, Rewon Child, et al.. (2020). Generative Pretraining From Pixels. International Conference on Machine Learning. 1. 1691–1703. 288 indexed citations breakdown →

2.

Jun, Heewoo, Rewon Child, Mark Chen, et al.. (2020). Distribution Augmentation for Generative Modeling. International Conference on Machine Learning. 5006–5019. 8 indexed citations

3.

Arık, Sercan Ö., Rewon Child, Joel Hestness, et al.. (2017). Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting. 1606–1610. 106 indexed citations

4.

Child, Rewon, et al.. (1981). THE DEVELOPMENT OF A TREE SYSTEM AND MACHINE FOR MECHANICAL HARVESTING OF APPLES BY THE COMBING TECHNIQUE. Acta Horticulturae. 245–254. 1 indexed citations

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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Breakdown of academic impact, for papers by Guillaume Alain Breakdown of academic impact, for papers by Heewoo Jun Breakdown of academic impact, for papers by Quan Wang Breakdown of academic impact, for papers by Alec Radford Breakdown of academic impact, for papers by Jeffrey Wu Breakdown of academic impact, for papers by Sheng-Yu Wang Breakdown of academic impact, for papers by Hyun-Soo Kim Breakdown of academic impact, for papers by Philipp Benz