Virginia Klema

About

Virginia Klema is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Virginia Klema has authored 15 papers receiving a total of 2.4k 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 Applied Mathematics. Recurrent topics in Virginia Klema’s work include Matrix Theory and Algorithms (3 papers), Advanced Statistical Methods and Models (2 papers) and Algebraic and Geometric Analysis (2 papers). Virginia Klema is often cited by papers focused on Matrix Theory and Algorithms (3 papers), Advanced Statistical Methods and Models (2 papers) and Algebraic and Geometric Analysis (2 papers). Virginia Klema collaborates with scholars based in United States and Canada. Virginia Klema's co-authors include Alan J. Laub, C Moler, Jack Dongarra, G. W. Stewart, James R. Bunch, B. S. Garbow, Yasuhiko Ikebe, Brian T. Smith, Thomas Aird and Stephen C. Peters and has published in prestigious journals such as IEEE Transactions on Automatic Control, Communications of the ACM and Journal of Econometrics.

In The Last Decade

Co-authorship network of co-authors of Virginia Klema i

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Fields of papers citing papers by Virginia Klema

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Virginia Klema

Since Specialization

Citations

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