Hugh D. Young

About

Hugh D. Young is a scholar working on Control and Systems Engineering, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Hugh D. Young has authored 3 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Control and Systems Engineering, 1 paper in Artificial Intelligence and 1 paper in Statistics, Probability and Uncertainty. Recurrent topics in Hugh D. Young’s work include Fault Detection and Control Systems (2 papers), Advanced Statistical Process Monitoring (1 paper) and Machine Learning and Data Classification (1 paper). Hugh D. Young is often cited by papers focused on Fault Detection and Control Systems (2 papers), Advanced Statistical Process Monitoring (1 paper) and Machine Learning and Data Classification (1 paper). Hugh D. Young collaborates with scholars based in United States. Hugh D. Young's co-authors include Lionel Weiss and has published in prestigious journals such as Journal of the American Statistical Association, American Journal of Physics and American Mathematical Monthly.

In The Last Decade

Co-authorship network of co-authors of Hugh D. Young i

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Fields of papers citing papers by Hugh D. Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugh D. Young. 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 Hugh D. Young. The network helps show where Hugh D. Young may publish in the future.

Countries citing papers authored by Hugh D. Young

Since Specialization

Citations

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