Patricia Hough

About

Patricia Hough is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Artificial Intelligence. According to data from OpenAlex, Patricia Hough has authored 7 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Theory and Mathematics, 3 papers in Numerical Analysis and 2 papers in Artificial Intelligence. Recurrent topics in Patricia Hough’s work include Advanced Optimization Algorithms Research (3 papers), Numerical Methods and Algorithms (3 papers) and Matrix Theory and Algorithms (2 papers). Patricia Hough is often cited by papers focused on Advanced Optimization Algorithms Research (3 papers), Numerical Methods and Algorithms (3 papers) and Matrix Theory and Algorithms (2 papers). Patricia Hough collaborates with scholars based in United States and Japan. Patricia Hough's co-authors include Tamara G. Kolda, Virginia Torczon, Stephen A. Vavasis, Juan Meza, Ricardo Oliva, Lauren L. Beghini, Brian P. Somerday, Christopher W. San Marchi, Konrad Thürmer and Paul J. Gibbs and has published in prestigious journals such as SIAM Journal on Scientific Computing, SIAM Journal on Optimization and JOM.

In The Last Decade

Co-authorship network of co-authors of Patricia Hough i

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Fields of papers citing papers by Patricia Hough

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Patricia Hough

Since Specialization

Citations

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