Alan J. Laub

116 papers and 6.4k indexed citations i.

About

Alan J. Laub is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics and Numerical Analysis. According to data from OpenAlex, Alan J. Laub has authored 116 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computational Theory and Mathematics, 49 papers in Statistical and Nonlinear Physics and 46 papers in Numerical Analysis. Recurrent topics in Alan J. Laub’s work include Matrix Theory and Algorithms (42 papers), Model Reduction and Neural Networks (38 papers) and Numerical methods for differential equations (35 papers). Alan J. Laub is often cited by papers focused on Matrix Theory and Algorithms (42 papers), Model Reduction and Neural Networks (38 papers) and Numerical methods for differential equations (35 papers). Alan J. Laub collaborates with scholars based in United States, Canada and Germany. Alan J. Laub's co-authors include Virginia Klema, Charles Kenney, Michael G. Safonov, G. L. Hartmann, Robert C. Ward, Christopher C. Paige, Susmita Roy, Judith D. Gardiner, M. R. Heath and Thrasyvoulos N. Pappas and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Automatica.

In The Last Decade

Co-authorship network of co-authors of Alan J. Laub i

Fields of papers citing papers by Alan J. Laub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan J. Laub. 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 Alan J. Laub. The network helps show where Alan J. Laub may publish in the future.

Countries citing papers authored by Alan J. Laub

Since Specialization
Citations

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