Jennifer K. Ryan

About

Jennifer K. Ryan is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Jennifer K. Ryan has authored 56 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Mechanics, 15 papers in Computational Theory and Mathematics and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Jennifer K. Ryan’s work include Advanced Numerical Methods in Computational Mathematics (29 papers), Computational Fluid Dynamics and Aerodynamics (22 papers) and Model Reduction and Neural Networks (12 papers). Jennifer K. Ryan is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (29 papers), Computational Fluid Dynamics and Aerodynamics (22 papers) and Model Reduction and Neural Networks (12 papers). Jennifer K. Ryan collaborates with scholars based in United States, United Kingdom and The Netherlands. Jennifer K. Ryan's co-authors include Robert M. Kirby, Chi‐Wang Shu, John Gleeson, C. Vuik, Sean Curtis, Harold Atkins, Yan Xu, Robert M. Kirby, David Fisher and Bernardo Cockburn and has published in prestigious journals such as Journal of Computational Physics, Mathematics of Computation and SIAM Journal on Numerical Analysis.

In The Last Decade

Co-authorship network of co-authors of Jennifer K. Ryan i

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Fields of papers citing papers by Jennifer K. Ryan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jennifer K. Ryan

Since Specialization

Citations

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