Patricia K. Lamm

25 papers and 354 indexed citations i.

About

Patricia K. Lamm is a scholar working on Mathematical Physics, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Patricia K. Lamm has authored 25 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mathematical Physics, 9 papers in Applied Mathematics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Patricia K. Lamm’s work include Inverse Problems in Mathematical Physics and Imaging (18 papers), Statistical and numerical algorithms (8 papers) and Advanced Mathematical Modeling in Engineering (7 papers). Patricia K. Lamm is often cited by papers focused on Inverse Problems in Mathematical Physics and Imaging (18 papers), Statistical and numerical algorithms (8 papers) and Advanced Mathematical Modeling in Engineering (7 papers). Patricia K. Lamm collaborates with scholars based in United States and Sweden. Patricia K. Lamm's co-authors include H. T. Banks, Lars Eldén, H. T. Banks, Peter Kareiva, Katherine A. Murphy, I. G. Rosen and Changjun Cui and has published in prestigious journals such as IEEE Transactions on Automatic Control, SIAM Journal on Numerical Analysis and Journal of Mathematical Analysis and Applications.

In The Last Decade

Co-authorship network of co-authors of Patricia K. Lamm i

Fields of papers citing papers by Patricia K. Lamm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia K. Lamm. 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 Patricia K. Lamm. The network helps show where Patricia K. Lamm may publish in the future.

Countries citing papers authored by Patricia K. Lamm

Since Specialization
Citations

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