Elizabeth Munch

35 papers and 510 indexed citations i.

About

Elizabeth Munch is a scholar working on Computational Theory and Mathematics, Biophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Elizabeth Munch has authored 35 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Theory and Mathematics, 11 papers in Biophysics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Elizabeth Munch’s work include Topological and Geometric Data Analysis (31 papers), Cell Image Analysis Techniques (11 papers) and Data Visualization and Analytics (5 papers). Elizabeth Munch is often cited by papers focused on Topological and Geometric Data Analysis (31 papers), Cell Image Analysis Techniques (11 papers) and Data Visualization and Analytics (5 papers). Elizabeth Munch collaborates with scholars based in United States, The Netherlands and Türkiye. Elizabeth Munch's co-authors include Firas A. Khasawneh, José A. Perea, Bei Wang, Vin de Silva, Amit Patel, Daniel H. Chitwood, John Harer, Michelle Quigley, Paul Bendich and Lin Yan and has published in prestigious journals such as Mechanical Systems and Signal Processing, The International Journal of Robotics Research and Developmental Dynamics.

In The Last Decade

Co-authorship network of co-authors of Elizabeth Munch i

Fields of papers citing papers by Elizabeth Munch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elizabeth Munch

Since Specialization
Citations

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