Jonathan Frankle

About

Jonathan Frankle is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Political Science and International Relations. According to data from OpenAlex, Jonathan Frankle has authored 7 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Political Science and International Relations. Recurrent topics in Jonathan Frankle’s work include Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Jonathan Frankle is often cited by papers focused on Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Jonathan Frankle collaborates with scholars based in United States and Israel. Jonathan Frankle's co-authors include Michael Carbin, Davis Blalock, Jose Javier Gonzalez Ortiz, John V. Guttag, Yang Zhang, Shiyu Chang, Zhangyang Wang, Tianlong Chen, Sijia Liu and Ari S. Morcos and has published in prestigious journals such as ACM SIGPLAN Notices, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and USENIX Security Symposium.

In The Last Decade

Co-authorship network of co-authors of Jonathan Frankle i

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Fields of papers citing papers by Jonathan Frankle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jonathan Frankle

Since Specialization

Citations

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