Sarah Cannon

20 papers and 121 indexed citations i.

About

Sarah Cannon is a scholar working on Statistics and Probability, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Sarah Cannon has authored 20 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 6 papers in Computational Theory and Mathematics and 5 papers in Molecular Biology. Recurrent topics in Sarah Cannon’s work include Markov Chains and Monte Carlo Methods (8 papers), Modular Robots and Swarm Intelligence (5 papers) and Stochastic processes and statistical mechanics (4 papers). Sarah Cannon is often cited by papers focused on Markov Chains and Monte Carlo Methods (8 papers), Modular Robots and Swarm Intelligence (5 papers) and Stochastic processes and statistical mechanics (4 papers). Sarah Cannon collaborates with scholars based in United States, United Kingdom and Israel. Sarah Cannon's co-authors include Dana Randall, Joshua J. Daymude, Andréa W. Richa, Daniel I. Goldman, Sarah Eisenstat, Scott M. Summers, Martin L. Demaine, Erik D. Demaine, Enes Aydın and Andrew Winslow and has published in prestigious journals such as Science Advances, Neuropharmacology and Theoretical Computer Science.

In The Last Decade

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

Fields of papers citing papers by Sarah Cannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sarah Cannon

Since Specialization
Citations

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