Sean Skwerer

7 papers and 233 indexed citations i.

About

Sean Skwerer is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Geometry and Topology. According to data from OpenAlex, Sean Skwerer has authored 7 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 3 papers in Artificial Intelligence and 3 papers in Geometry and Topology. Recurrent topics in Sean Skwerer’s work include Topological and Geometric Data Analysis (3 papers), Morphological variations and asymmetry (3 papers) and Bayesian Methods and Mixture Models (2 papers). Sean Skwerer is often cited by papers focused on Topological and Geometric Data Analysis (3 papers), Morphological variations and asymmetry (3 papers) and Bayesian Methods and Mixture Models (2 papers). Sean Skwerer collaborates with scholars based in United States, Canada and Germany. Sean Skwerer's co-authors include Ezra Miller, J. S. Marron, Paul Bendich, Stephan Huckemann, Brooke H. Miller, J. S. Marron, Tim Wiltshire, Michael D. Cameron, Mathew T. Pletcher and Vic Patrangenaru and has published in prestigious journals such as Psychopharmacology, Medical Physics and SIAM Journal on Optimization.

In The Last Decade

Co-authorship network of co-authors of Sean Skwerer i

Fields of papers citing papers by Sean Skwerer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sean Skwerer

Since Specialization
Citations

This map shows the geographic impact of Sean Skwerer'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 Sean Skwerer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Skwerer 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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2025