Karen Braman

10 papers and 1.0k indexed citations i.

About

Karen Braman is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Karen Braman has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Mathematics, 3 papers in Computational Theory and Mathematics and 2 papers in Artificial Intelligence. Recurrent topics in Karen Braman’s work include Tensor decomposition and applications (6 papers), Sparse and Compressive Sensing Techniques (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Karen Braman is often cited by papers focused on Tensor decomposition and applications (6 papers), Sparse and Compressive Sensing Techniques (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Karen Braman collaborates with scholars based in United States. Karen Braman's co-authors include Randy C. Hoover, Ning Hao, Misha E. Kilmer, Ralph Byers, Roy Mathias and Theresa I. Shireman and has published in prestigious journals such as Linear Algebra and its Applications, SIAM Journal on Matrix Analysis and Applications and SIAM Journal on Imaging Sciences.

In The Last Decade

Co-authorship network of co-authors of Karen Braman i

Fields of papers citing papers by Karen Braman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Karen Braman

Since Specialization
Citations

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