Justin K. Pugh

About

Justin K. Pugh is a scholar working on Artificial Intelligence, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Justin K. Pugh has authored 9 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Surgery and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Justin K. Pugh’s work include Reinforcement Learning in Robotics (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Evolutionary Algorithms and Applications (2 papers). Justin K. Pugh is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Evolutionary Algorithms and Applications (2 papers). Justin K. Pugh collaborates with scholars based in United States and United Kingdom. Justin K. Pugh's co-authors include Kenneth O. Stanley, L. B. Soros, Paul Szerlip, Mark A. Ringer, Jay Lee, Davinder Ramsingh, Alexandra Chang, Brent M. Gordon, Linda J. Mason and Philip D. Ross and has published in prestigious journals such as Journal of Clinical Medicine, Journal of Clinical Anesthesia and Frontiers in Robotics and AI.

In The Last Decade

Co-authorship network of co-authors of Justin K. Pugh i

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Fields of papers citing papers by Justin K. Pugh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin K. Pugh. 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 Justin K. Pugh. The network helps show where Justin K. Pugh may publish in the future.

Countries citing papers authored by Justin K. Pugh

Since Specialization

Citations

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