Sarah Day

14 papers and 279 indexed citations i.

About

Sarah Day is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics and Mathematical Physics. According to data from OpenAlex, Sarah Day has authored 14 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 6 papers in Statistical and Nonlinear Physics and 5 papers in Mathematical Physics. Recurrent topics in Sarah Day’s work include Topological and Geometric Data Analysis (6 papers), Quantum chaos and dynamical systems (5 papers) and Mathematical Dynamics and Fractals (5 papers). Sarah Day is often cited by papers focused on Topological and Geometric Data Analysis (6 papers), Quantum chaos and dynamical systems (5 papers) and Mathematical Dynamics and Fractals (5 papers). Sarah Day collaborates with scholars based in United States, The Netherlands and Japan. Sarah Day's co-authors include Konstantin Mischaikow, Jean‐Philippe Lessard, William D. Kalies, Oliver Junge, Yasuaki Hiraoka, Toshiyuki OGAWA, Rafael Frongillo, Thomas Wanner, May Boggess and Masami Fujiwara and has published in prestigious journals such as Scientific Reports, SIAM Journal on Numerical Analysis and Physica D Nonlinear Phenomena.

In The Last Decade

Co-authorship network of co-authors of Sarah Day i

Fields of papers citing papers by Sarah Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sarah Day

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025